How to build a business case for modern data architectures
By: Informatica View more from Informatica >>
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5 steps to maximize the value of Hadoop
By: SAS
Type: White Paper
Many organizations are struggling to implement Hadoop. For example, it can be difficult to find personnel that understand programming languages like Sqoop, Hive, Pig, and MapReduce in order to productively use Hadoop.
This resource describes the 5 critical steps to maximize the value of Hadoop before embarking on a big data project, including:
- Evaluate if and how Hadoop fits into your existing data and analytics architecture
- Assess skill/talent gaps early
- And 3 more
These are also closely related to: "How to build a business case for modern data architectures"
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A software-defined architecture empowers your enterprise
By: IBM
Type: eGuide
What can a software-defined architecture do for you?
For starters it can provide your enterprise with an empowered storage environment, protection against data loss, simple system management and, best of all, low up-front cost.
Make implementing a software-defined architecture a priority. Access this expert Eguide that gives an in-depth look at software-defined architecture.
And read on to discover the big value in software-defined storage.
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Industrial data fabric: Democratize operations data
By: HighByte
Type: Product Overview
Industrial Data Fabric (IDF) is a reference architecture developed by AWS with a supporting ecosystem of partners to enable the convergence of IT/OT data in modern manufacturing environments. The architecture spans from edge to cloud to democratize operations data across the enterprise.
In this product overview, you’ll learn how IDF removes the heavy lifting associated with infrastructure management and maintenance so customers can focus on deploying use cases and driving business value. Read on now to discover how you can mobilize data from industrial assets and systems at scale.
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6 Data Integration Reference Architectures for Business Acceleration
By: Qlik
Type: eBook
In this e-book, you'll discover how Qlik Data Integration enables real-time insights, data speed and scale, and flexibility to accelerate your business. You'll also learn about 6 reference architectures for data warehouses, data lakes, data lakehouses, event-driven data, and data mesh. Read on now to explore the advantages.
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Increase the Value of your EA Practice - Assess your EA Maturity with LeanIX
By:
Type: Talk
Increasing the maturity of enterprise architecture (EA) impacts its relevance in the organization. When stakeholders better recognize enterprise architecture's benefits and added value, more teams across the organization get involved in strategic decisions and initiatives, leading to a more reliable outcome. Nevertheless, enterprise architects often hyper-focus on the data and miss the opportunity to catalyze positive organizational transformations. A mature EA practice enables organizations to achieve better strategic alignment, optimize resources, and drive innovation.Grab the opportunity to recalibrate your organization's EA trajectory by participating in this webinar. Dominik Söhnle, Senior Consultant at LeanIX, will provide insights into prevailing trends and challenges in the EA landscape. Moreover, he will unveil LeanIX's EA Maturity Assessment tool, which enables you to assess your as-is EA maturity and share how you can increase the value of your EA practice. What Awaits You: - Gain a profound understanding of why EA is relevant and what are the drivers of EA. - How EA can support the most relevant goals of the business. - Discover LeanIX's unique EA Maturity Assessment tool, meticulously built to evaluate the EA maturity of your organization across four key dimensions - data, technology, organization, and use case. - Leveraging the assessment findings, gain insights into recommendations for actionable wins and best practices for the long-term evolution of your enterprise architecture.
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Modernize Data Architecture to Facilitate Innovation in Financial Services
By:
Type: Video
The arrival of Big Data, along with the breakthroughs in AI, machine learning and automation has enabled financial services to generate business insights at a vigorous speed while driving operational efficiency. But when the existing analytics architecture reaches its limit, what are the new potentials and innovations in the markets, and how can firms invest in a modernized data platform with advanced analytics capabilities? Watch this 60-minute panel discussion to learn, • What are the technical debts and limits with most existing data infrastructure? • From the perspective of data scientists VS tech business managers: how does a modernized data architecture looks like and how to operationalize it? • How to align operating model with data architecture to generate the maximum value from your data? • Best strategies to enhance your IT infrastructure with open source eco-system and hybrid cloud approach
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Upgrading from Apache Kafka® to Confluent
By:
Type: Video
Apache Kafka is the foundation of modern data architectures today, enabling businesses to connect, process, and react to their data in motion. However, Kafka doesn’t offer all the capabilities you need to move safely and quickly to production, and operating the platform can be a huge burden on your engineering teams. What does this mean for your business? Escalating total cost of ownership, delayed time to value and lower ROI on your mission-critical Kafka projects. Confluent helps solve these challenges by offering a complete, cloud-native distribution of Kafka and making it available everywhere your applications and data reside. With Kafka at its core, Confluent offers a holistic set of enterprise-grade capabilities that come ready out of the box to accelerate your time to value and reduce your total cost of ownership for data in motion. In this webinar, Amit Gupta, Group Product Manager, and Nick Bryan, Senior Product Marketing Manager, will cover how you can: 1. Protect your Kafka use cases with enterprise-grade security, enhanced disaster recovery capabilities, and more 2. Reduce your Kafka operational burden and instead focus on building real-time apps that drive your business forward 3. Pursue hybrid and multi-cloud architectures with a data platform that spans and connects all of your environments Register today to learn how you can realize the full value of your mission-critical Kafka projects and truly modernize your data architecture.
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Data Mesh - data revolution or hype?
By:
Type: Talk
Synopsis: As the proliferation and use of data continues to grow so to does the potential value of data to an organisation. Yet many organisations are still to realise tangible and measurable value from their data as evidenced by many analyst reports. Most organisations have invested in a centralised data strategy and data team to help transform themselves into a data driven orgsanisation, yet the benefit realised does not offset the investment in many cases. As the race to capitalise on data potential rages on, organisations look to next generation data architectures and principles to finally realise the true value from their data across the organisation. Data Mesh promises to help organisations revolutionise their data strategies but is this hype or reality? During this session, we will discuss:- Challenges of current generation data platforms What is a Data Mesh (and what it’s not)? Principles and potential of Data Mesh The role of Data Products Is Data Mesh right for you? Q&A
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A reference architecture for the IoE
By: TechTarget ComputerWeekly.com
Type: Analyst Report
Analyst group Quocirca proposes a basic architecture to help organisations avoid the many pitfalls of embracing the internet of things (IoT).
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Building a Data Foundation for the AI Era
By:
Type: Replay
Your data is more valuable and critical in the AI era, where tools can unlock more value with less effort. In this informative session, learn how AI is amplifying the value of your data, and why the typical architecture of AI infrastructure and applications creates new data management challenges that impede success. Learn how you can overcome these challenges by establishing a data foundation that accelerates and enhances your AI initiatives.
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Modern Business Data Architecture Requires a favorable inner climate
By:
Type: Talk
Modern data architecture discipline can really produce a value as long as business understands, supports, and partakes in this initiative. The goal of this program is to define a roadmap for data product, self-service decisions tools, and reusable data service, to socialize data anomalies. The accountability is on enterprise architecture department to bring the inner climate under one common roof to serve better frameworks and solutions.
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Connecting Data Quality to the Business Bottom Line
By:
Type: Talk
One of the biggest challenges for data teams right now, is showing the bottom-line value of improving data quality to the business. While they know investing in the right areas of the business will unlock value, when executives hear data quality their eyes typically glaze over, unaware as to the connection between data quality and how it ultimately affects the metrics they value: revenue, costs, cash flow etc… For data and IT teams this disconnect results in a lack of funding and support for the data improvement initiatives they care about and know will work. So what can you do about it? We believe data and IT teams need a new story, a new way to position data quality as not just an essential component to smooth operations but also as a value driver for the business. In this webinar, data management experts, Syniti, and a guest speaker from the analyst firm IDC will overview: - How data has evolved as a topic in the boardroom - How data quality improvement can impact the bottom line - How through new data quality assessments, Syniti can display the anticipated value of data quality improvements in each aspect of your business. - How the Syniti Knowledge Platform can give you control over your data
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De-Mystifying the Data Mesh
By:
Type: Talk
Data mesh is not something enterprises can buy off the shelf. Data mesh is a sociotechnical approach to share, access, and manage analytical data in complex and large-scale environments — within or across organizations. The technical aspect is more architecture than tool or platform, with almost a religious mantra of, “Data mesh is not about technology.” But the number one question data architecture and data engineering teams have about data mesh is, what are the strategies I use to implement it? Tune into this webinar to learn from guest speaker Michele Goetz, VP/Principal Analyst at Forrester: • some of the principles behind the data mesh concept • how to translate data mesh soft artifacts to deployable products • what data capabilities exploit the decoupled nature of compute, storage, and state • and where a scalable, high value for performance database like Vertica fits in a data mesh implementation
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How to unlock the true value of data
By: TechTarget ComputerWeekly.com
Type: eGuide
With a robust data architecture in place, a firm's data science team can turn raw data into business insight. We take a quick look at how this can be done.
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Big Pharma Next Generation Engagement with Omnichannel Personalization
By:
Type: Video
Learn how a leading global pharma company assessed, purchased and implemented a Customer Data Platform. Also hear their key use cases for creating value based patient journeys with a sustainable support model as part of their personalization transformation efforts.
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Big Pharma Next Generation Engagement with Omnichannel Personalization
By:
Type: Replay
Learn how a leading global pharma company assessed, purchased and implemented a Customer Data Platform. Also hear their key use cases for creating value based patient journeys with a sustainable support model as part of their personalization transformation efforts.
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Big Pharma Next Generation Engagement with Omnichannel Personalization
By:
Type: Replay
Learn how a leading global pharma company assessed, purchased and implemented a Customer Data Platform. Also hear their key use cases for creating value based patient journeys with a sustainable support model as part of their personalization transformation efforts.
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Discover your organization's AI readiness with a quick assessment
By: Bell Integration
Type: Assessment Tool
Assess your organization's AI readiness with Bell Integration's online tool. In five minutes, evaluate strategy, data infrastructure, governance, culture, and value measurement through 25 questions. Receive an instant maturity score and practical recommendations to boost your AI transformation. Complete this assessment for valuable AI insights.
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Connecting Data Governance with strategic initiatives in 2023
By:
Type: Replay
While the need for a data governance program is widely accepted, many companies are struggling to quickly demonstrate value. See how linking data governance and enterprise architecture provides multiple benefits to ensure data initiatives support business needs.
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Confluent Real time event streaming - why it matters for Industry 4.0
By:
Type: Talk
Companies now run global businesses that span the globe and hop between clouds in real-time, breaking down data silos to create seamless applications that connect the organisation internally and externally. This continuous state of change means that legacy architectures are insufficient or unsuitable to meet the needs of the modern organisation. Applications must be able to run 24×7 and be elastic, global, and cloud-native. Mining, resources, chemical, energy and industrial organisations must process billions of these events per day in real-time and ensure consistent and reliable data processing and correlation across machines, sensors and standard software. Enter event-driven architecture (EDA), a type of software architecture that ingests, processes, stores, and reacts to real-time data as it’s being generated, opening new capabilities in the way businesses run. Real-time streaming data enables you to modernise existing processes, streamline costs and extract more value out of your business data. Join us on Wednesday, March 10th 2pm AEST to learn how event streaming with Apache Kafka, Confluent Platform and Confluent Cloud provide a scalable, reliable, and efficient infrastructure to ensure you can leverage the value of real time data. In this session James Gollan, Senior Solutions Architect at Confluent, will discuss use cases and architectures for various scenarios, including: Agenda: 10,000 Feet View – Event Streaming for Industry 4.0 Events – What are they, and why do they matter? The three pillars of an event streaming platform Event driven microservices Event driven architecture and IoT and use cases Core data offload Machine learning for anomaly detection Monitoring telemetry on trucks - sensor detector Supply Chain Management Cybersecurity Q&A Advance registration is requested. We look forward to your participation!
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Building a Secure, Tamper-Proof & Scalable Blockchain with AiB’s KafkaBlockchain
By:
Type: Video
Apache Kafka is an open-source event streaming platform used to complement or replace existing middleware, integrate applications, and build microservice architectures. Used at almost every large company today, it's understood, battled-tested, highly scalable, and reliable. Blockchain is a different story. Being related to cryptocurrencies like Bitcoin, it's often in the news. But what is the value for software architectures? And how is it related to an integration architecture and event streaming platform? This session explores blockchain use cases and different alternatives such as Hyperledger, Ethereum, and Kafka-native blockchain implementation. We discuss the value blockchain brings for different architectures, and how it can be integrated with the Kafka ecosystem to build a highly scalable and reliable event streaming infrastructure.
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Building a Secure, Tamper-Proof & Scalable Blockchain with AiB’s KafkaBlockchain
By:
Type: Replay
Apache Kafka is an open-source event streaming platform used to complement or replace existing middleware, integrate applications, and build microservice architectures. Used at almost every large company today, it's understood, battled-tested, highly scalable, and reliable. Blockchain is a different story. Being related to cryptocurrencies like Bitcoin, it's often in the news. But what is the value for software architectures? And how is it related to an integration architecture and event streaming platform? This session explores blockchain use cases and different alternatives such as Hyperledger, Ethereum, and Kafka-native blockchain implementation. We discuss the value blockchain brings for different architectures, and how it can be integrated with the Kafka ecosystem to build a highly scalable and reliable event streaming infrastructure.
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Building a Secure, Tamper-Proof & Scalable Blockchain with AiB’s KafkaBlockchain
By:
Type: Replay
Apache Kafka is an open-source event streaming platform used to complement or replace existing middleware, integrate applications, and build microservice architectures. Used at almost every large company today, it's understood, battled-tested, highly scalable, and reliable. Blockchain is a different story. Being related to cryptocurrencies like Bitcoin, it's often in the news. But what is the value for software architectures? And how is it related to an integration architecture and event streaming platform? This session explores blockchain use cases and different alternatives such as Hyperledger, Ethereum, and Kafka-native blockchain implementation. We discuss the value blockchain brings for different architectures, and how it can be integrated with the Kafka ecosystem to build a highly scalable and reliable event streaming infrastructure.
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Building a Secure, Tamper-Proof & Scalable Blockchain with AiB’s KafkaBlockchain
By:
Type: Replay
Apache Kafka is an open-source event streaming platform used to complement or replace existing middleware, integrate applications, and build microservice architectures. Used at almost every large company today, it's understood, battled-tested, highly scalable, and reliable. Blockchain is a different story. Being related to cryptocurrencies like Bitcoin, it's often in the news. But what is the value for software architectures? And how is it related to an integration architecture and event streaming platform? This session explores blockchain use cases and different alternatives such as Hyperledger, Ethereum, and Kafka-native blockchain implementation. We discuss the value blockchain brings for different architectures, and how it can be integrated with the Kafka ecosystem to build a highly scalable and reliable event streaming infrastructure.
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Building a Secure, Tamper-Proof & Scalable Blockchain with AiB’s KafkaBlockchain
By:
Type: Replay
Apache Kafka is an open-source event streaming platform used to complement or replace existing middleware, integrate applications, and build microservice architectures. Used at almost every large company today, it's understood, battled-tested, highly scalable, and reliable. Blockchain is a different story. Being related to cryptocurrencies like Bitcoin, it's often in the news. But what is the value for software architectures? And how is it related to an integration architecture and event streaming platform? This session explores blockchain use cases and different alternatives such as Hyperledger, Ethereum, and Kafka-native blockchain implementation. We discuss the value blockchain brings for different architectures, and how it can be integrated with the Kafka ecosystem to build a highly scalable and reliable event streaming infrastructure.
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Looking to Update Your Security Infrastructure?
By:
Type: Replay
Does your team struggle with undersized tools, less-than-ideal architecture, and ingesting data needed to support and protect the enterprise? Observability pipeline gives teams the flexibility to implement an architecture to successfully support and protect their organization. Join this webinar to learn more about: - The fastest way to overhaul your architecture, risk-free - Sizing best practices, so you get more value from operational tools - Enterprise Architecture best practices
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Data Center Architecture Strategy
By:
Type: Replay
Combining the Value of Private Cloud, CI and HCI Is your organization interested in standardizing and automating operations on-premises as you transition to hybrid/multi-cloud? Improve your strategy by learning about: • Trends and best practices for modernizing data center infrastructure and operations at scale • A joint Dell Technologies-Cisco engineered and automated spine-leaf data center architecture • Ways to incorporate converged and hyperconverged infrastructure and local/ephemeral storage • Key use cases, supported products and tips on how to get started • Recent survey of organizations who have deployed this architecture and measured outcomes Host: Neeloy Bhattacharyya, Director, Data Center Architecture, Dell Technologies Panelists: • Alex Arcilla, Validation Analyst, ESG • Rajiv Thomas, Platform and Solutions Sr. Mgr., Cloud Infrastructure and Software Group, Cisco • Tony Jeffries, Product Manager, VxBlock 1000 and Vscale Architecture, Dell Technologies
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Unlocking the value of data mesh with Data Architecture as a Service
By:
Type: Replay
Data architecture-as-a-service or DAaaS is a new self-service paradigm that is ideal for data meshes. It empowers local data owners to create architecturally compliant data repositories, domains, and pipelines without IT assistance. It is the culmination of self-service, where business units liberate themselves almost entirely from enterprise IT. If done right, DaaS eliminates data silos, reduces data bottlenecks, eases the burden on enterprise data teams, and empowers local domains to service their own data needs. It’s also a key ingredient in the data mesh, an emerging distributed architecture for data ownership and management. Data architecture-as-a-service is a verbal twist on cloud processing environments, such as software-as-a-service or platform-as-a-service. This moniker conveys that it’s possible to abstract architecture and build it into easy-to-use, customer-facing tools. When we abstract data architecture, we solve the most enduring data pain point in the data world: the proliferation of data silos and pipelines that wreak havoc on data consistency and trustworthiness. You will learn: • What DAaaS is • Why DAaaS is critical for governed self-service • How DAaaS prevents data silos and empowers data domains About the speaker: Wayne Eckerson is an international thought leader in data and analytics who thinks critically, writes clearly, and presents persuasively about complex topics. He is a best-selling author, sought-after consultant, and noted speaker. Eckerson has advised a range of companies about how to implement data and analytics programs, architectures, and infrastructure, including Walmart, New Balance, and Children’s Hospital of Philadelphia. Eckerson is President of Eckerson Group, a consulting and research firm that helps organizations get more value from their data. He has degrees from Williams College and Wesleyan University.
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Unlocking the value of data mesh with Data Architecture as a Service
By:
Type: Talk
Data architecture-as-a-service or DAaaS is a new self-service paradigm that is ideal for data meshes. It empowers local data owners to create architecturally compliant data repositories, domains, and pipelines without IT assistance. It is the culmination of self-service, where business units liberate themselves almost entirely from enterprise IT. If done right, DaaS eliminates data silos, reduces data bottlenecks, eases the burden on enterprise data teams, and empowers local domains to service their own data needs. It’s also a key ingredient in the data mesh, an emerging distributed architecture for data ownership and management. Data architecture-as-a-service is a verbal twist on cloud processing environments, such as software-as-a-service or platform-as-a-service. This moniker conveys that it’s possible to abstract architecture and build it into easy-to-use, customer-facing tools. When we abstract data architecture, we solve the most enduring data pain point in the data world: the proliferation of data silos and pipelines that wreak havoc on data consistency and trustworthiness. You will learn: • What DAaaS is • Why DAaaS is critical for governed self-service • How DAaaS prevents data silos and empowers data domains About the speaker: Wayne Eckerson is an international thought leader in data and analytics who thinks critically, writes clearly, and presents persuasively about complex topics. He is a best-selling author, sought-after consultant, and noted speaker. Eckerson has advised a range of companies about how to implement data and analytics programs, architectures, and infrastructure, including Walmart, New Balance, and Children’s Hospital of Philadelphia. Eckerson is President of Eckerson Group, a consulting and research firm that helps organizations get more value from their data. He has degrees from Williams College and Wesleyan University.
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Selecting Your Data Partners – 6 Things You Should Consider
By:
Type: Talk
InsTech London in Conversations with Precisely. Finding the right partners to provision curated data for assessing properties requires a good understanding of the core problems and challenges to solve. Matthew Grant will be reviewing some of the critical decision points insurers consider, including geocoding essentials, ensuring credible, consistent and current data, and how these factors affect time to value, especially in large-scale computing platforms. The event will be co-hosted with Precisely and looking specifically at what the company is providing to its major global insurance and financial services clients - and what they care about. Hosted by Matthew Grant, InsTech London Partner, the speakers from Precisely include: - Tim McKenzie, Sr. Director Solution Architecture - Michael Ashmore, Sr. Director Product Management - Dan Adams, SVP, Data Strategy & Operations The Learning Objectives for this event are: - Provide practical advice on how to find the right data provider - Discuss various aspects insurers should consider in large-scale computing platforms - Understand business benefits that data quality solutions can provide
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The power of payloads in your unified namespace
By: HighByte
Type: White Paper
Although most industrial companies have been able to load their data in their Unified Namespace (UNS), many are finding that they are unable to use it effectively. In this white paper, you’ll discover how you can unlock the necessary capabilities to contextualize your data and maximize the value of your UNS. Read on to learn more.
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Size Matters: Right-Sizing and Overhauling Your Infrastructure
By:
Type: Replay
Security and Ops teams often struggle with undersized tools, less-than-ideal architecture, and ingesting all of the data they need to support and protect the enterprise. Professional services organization, Networkology, leverages Cribl Stream to fix such teams’ fundamental architecture and ensure long-term success. Join us to learn more about: - Common struggles with getting data in and how to combat them - Sizing best practices, so you get more value from operational tools like Splunk - The fastest way to overhaul your architecture, risk-free
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How can Change Data Capture help you avoid data value decay?
By:
Type: Talk
As the role and value potential of time critical data becomes ever more apparent to organisations, the race is on to capitalise on the opportunity of this data before its relevance and business value decay. Change Data Capture (or CDC for short) is a core capability within an overall data architecture that helps identify and capture changes made within source systems which can easily and efficiently be propagated to consuming systems where value potential can be realised e.g. a data warehouse for near real time analytics. Sometimes referred to as ‘fast-data’, join me in exploring how and why CDC can be a key enabler for organisations realising the value potential of their time critical data. Darren Brunt, Presales Director, EMEA North, Talend - With a passion for helping organisations identify and drive new opportunities and value from data, Darren helps his customers maximise insights and drive innovation from their information assets.
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Webinar: API-First Integration for Modern Business Solutions
By:
Type: Video
What is a pragmatic approach to API-First Integration and what does a reference architecture look like? We’ll answer that and then dig into how customers are designing a modern Integration architecture and the use cases driving this approach. We’ll also highlight the award-winning webMethods.io platform that makes this architecture possible while delivering real business value.
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Discover Scalable Enterprise Data Storage Solutions
By: Covenco
Type: Product Overview
Covenco offers enterprise data storage services to help organizations design, scale, and implement storage systems that meet their specific business needs. Learn how Covenco's solutions can address your top storage challenges by reading the full Product Overview.
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Accelerate Disaggregated Storage to Optimize Data-Intensive Workloads
By:
Type: Talk
Thanks to big data, artificial intelligence (AI), the Internet of things (IoT), and 5G, demand for data storage continues to grow significantly. The rapid growth is causing storage and database-specific processing challenges within current storage architectures. New architectures, designed with millisecond latency, and high throughput, offer in-network and storage computational processing to offload and accelerate data-intensive workloads. Join technology innovators as they highlight how to drive value and accelerate SSD storage through the specialized implementation of key value technology to remove inefficiencies through a Data Processing Unit for hardware acceleration of the storage stacks, and a hardware-enabled Storage Data Processor to accelerate compute-intensive functions. By joining, you will learn why SSDs are a staple in modern storage architectures. These disaggegated systems use just a fraction of computational load and power while unlocking the full potential of networked flash storage.
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Accelerate Disaggregated Storage to Optimize Data-Intensive Workloads
By:
Type: Talk
Thanks to big data, artificial intelligence (AI), the Internet of things (IoT), and 5G, demand for data storage continues to grow significantly. The rapid growth is causing storage and database-specific processing challenges within current storage architectures. New architectures, designed with millisecond latency, and high throughput, offer in-network and storage computational processing to offload and accelerate data-intensive workloads. Join technology innovators as they highlight how to drive value and accelerate SSD storage through the specialized implementation of key value technology to remove inefficiencies through a Data Processing Unit for hardware acceleration of the storage stacks, and a hardware-enabled Storage Data Processor to accelerate compute-intensive functions. By joining, you will learn why SSDs are a staple in modern storage architectures. These disaggegated systems use just a fraction of computational load and power while unlocking the full potential of networked flash storage.
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Accelerate Disaggregated Storage to Optimize Data-Intensive Workloads
By:
Type: Talk
Thanks to big data, artificial intelligence (AI), the Internet of things (IoT), and 5G, demand for data storage continues to grow significantly. The rapid growth is causing storage and database-specific processing challenges within current storage architectures. New architectures, designed with millisecond latency, and high throughput, offer in-network and storage computational processing to offload and accelerate data-intensive workloads. Join technology innovators as they highlight how to drive value and accelerate SSD storage through the specialized implementation of key value technology to remove inefficiencies through a Data Processing Unit for hardware acceleration of the storage stacks, and a hardware-enabled Storage Data Processor to accelerate compute-intensive functions. By joining, you will learn why SSDs are a staple in modern storage architectures. These disaggegated systems use just a fraction of computational load and power while unlocking the full potential of networked flash storage.
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Accelerate Disaggregated Storage to Optimize Data-Intensive Workloads
By:
Type: Talk
Thanks to big data, artificial intelligence (AI), the Internet of things (IoT), and 5G, demand for data storage continues to grow significantly. The rapid growth is causing storage and database-specific processing challenges within current storage architectures. New architectures, designed with millisecond latency, and high throughput, offer in-network and storage computational processing to offload and accelerate data-intensive workloads. Join technology innovators as they highlight how to drive value and accelerate SSD storage through the specialized implementation of key value technology to remove inefficiencies through a Data Processing Unit for hardware acceleration of the storage stacks, and a hardware-enabled Storage Data Processor to accelerate compute-intensive functions. By joining, you will learn why SSDs are a staple in modern storage architectures. These disaggegated systems use just a fraction of computational load and power while unlocking the full potential of networked flash storage.
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Accelerate Disaggregated Storage to Optimize Data-Intensive Workloads
By:
Type: Talk
Thanks to big data, artificial intelligence (AI), the Internet of things (IoT), and 5G, demand for data storage continues to grow significantly. The rapid growth is causing storage and database-specific processing challenges within current storage architectures. New architectures, designed with millisecond latency, and high throughput, offer in-network and storage computational processing to offload and accelerate data-intensive workloads. Join technology innovators as they highlight how to drive value and accelerate SSD storage through the specialized implementation of key value technology to remove inefficiencies through a Data Processing Unit for hardware acceleration of the storage stacks, and a hardware-enabled Storage Data Processor to accelerate compute-intensive functions. By joining, you will learn why SSDs are a staple in modern storage architectures. These disaggegated systems use just a fraction of computational load and power while unlocking the full potential of networked flash storage.
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On the Air: Driving Value from Your Data in Times of Change
By:
Type: Video
You can name numerous trends and new technologies businesses utilize to get ahead: data lakes, machine learning, artificial intelligence, the internet of things, serverless architectures, edge computing, augmented reality, etc. Regardless of your current strategy, all these advancements rely on modern data architecture. As your business tries to keep up with change, you need an effective data management strategy, or you could be left behind. In this On the Air, we explore how Rackspace + Microsoft can help you embrace a data strategy that adds value to your organization. Rackspace Technology's Matthew Lathrop and Jason Rinehart and Microsoft's Luke Fangman talk about the cornerstones of driving more value from your organizational data in a modern data estate, the next evolution in IT. What we discuss: - Top trends among companies innovating with data - The people, processes, and technology needed for your modern data estate - How Rackspace + Microsoft help companies innovate with data
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Using AIOps to scale and control costs of enterprise data
By:
Type: Talk
The latest mission critical complex IT environment for enterprises is their data architecture. This session will cover how AIOps concepts are being applied to today's complex modern data architectures. How is AIOps being embedded in Data Observability platforms today? How are those platforms helping DataOps teams eliminate operational blind spots while increasing proactive optimization and cost intelligence around cloud based architectures? How do business leader close the data talent gap using these platform and DataOps? About the speakers: Bill Lloyd has over 25 years of experience in design, development and management of data and analytic programs. As a Managing Director in the AI & Data Operations practice, Bill leads our Delivery Transformation and Quality, and has served as overall program lead on dozens of critical data and analytics programs for global Fortune 100 organizations across industries. His responsibilities include developing our end-to-end strategy as it relates to bringing our Deloitte solutions to the market as a managed service, and leveraging AI and intelligent automation to bring greater value to our clients. Greg Lato has over 25 years’ experience partnering with enterprises clients to address their business challenges. With the last 8 years focused on data, he has seen the explosive growth of using data to drive business outcomes and the corresponding increase in complexity of the IT Systems that are required to process that data. At Acceldata he focuses on driving efficiency and automation across this complex environment for the enterprise data operations team using Data Observability.
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Leverage your data as a critical business asset with LeanIX-Collibra integration
By:
Type: Talk
The availability of accurate, reliable data within an organization is key to making data-driven decisions. However, the increasing amount of data that needs to be managed and maintained requires a lot of collaboration and integration efforts if not done efficiently. This leads to increased data silos and poor metadata quality that hampers effective data-driven strategy within the organization. Recognizing the ongoing need for companies to operationalize and govern enterprise data effectively, LeanIX recently announced a partnership and out-of-the-box integration with Collibra, the leading data intelligence company. The integration between LeanIX Enterprise Architecture Management (EAM) and Collibra Enterprise Data Catalog (EDC) enhances data governance for organizations by ensuring complete alignment between Enterprise Architecture and Data Architecture. With transparency established over where the data is mastered and how it flows through the IT landscape, organizations can simultaneously eliminate data silos and improve metadata quality. Grab the opportunity to learn in detail about the bi-directional integration from Per Bernhardt, Director of Engineering EAM Integrations at LeanIX, and Antonio Castelo, Lead Technology Partner Integrations at Collibra, by registering for this webinar. What’s in store for you: - Gain an overview of LeanIX Enterprise Architecture Management (EAM) and Collibra Data Intelligence Platform. - Discover how data governance and enterprise architecture fit together to offer value for enterprises. - Learn about the features of the integration and how they empower Collibra and LeanIX EAM. - Gain insights into how the LeanIX-Collibra integration will develop in the future.
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The Race to Unified Analytics: Next-Gen Data Platforms and Architectures
By:
Type: Replay
Despite ongoing investment in cloud platforms and analytics tools, many companies are still struggling with truly unlocking the business value of all their data. While the ways that users want and need to work with data continue to evolve, the increasing complexity of data and analytics systems and the proliferation of data silos often pose significant hurdles. This is especially true when data is managed across a patchwork of legacy systems and new technologies adopted tactically without full consideration of broader data management imperatives and future needs. Ultimately, organizations want to empower their users with fast, easy access to actionable, reliable information and insights. To examine next-generation platforms and architectures, along with key issues such as integration, governance, and security, Semarchy joined DBTA for an in-depth roundtable webinar.
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Design your roadmap for data modernization
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Type: Video
Data modernization is quickly becoming a buzzworthy topic for experts focused on bridging the gap between modern needs and legacy systems, while also trying to wrangle exponentially more data with only a fraction more budget… but what does modernization actually mean to you, your team, and your organization? Is it something you should be exploring, and how do you determine where you’re at or should be, in your journey to modernization? From collection, routing, and parsing, to integration, storage, and retrieval, modernization will require you to assess where you're at in the journey, determine the value of your data, and build a model for your organization. You'll also need to tie your initiatives to broader business goals so you can fund your modernization project. In our session, we’ll show you: - Models to measure the maturity of your architecture and engineering at each step in the data journey - Strategies to determine which areas to address first - Tools and techniques to de-risk the upgrade process
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Size Matters: Best Practices for Right-Sizing & Overhauling Your Infrastructure
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Type: Replay
Security and Ops teams often struggle with undersized tools, less-than-ideal architecture, and ingesting all of the data they need to support and protect the enterprise. Professional services organization, Networkology, leverages Cribl Stream to fix such teams’ fundamental architecture and ensure long-term success. Join Networkology’s Chris Morris and Cribl’s Desi Gavis-Hughson for this on-demand webinar as they talk through: Common struggles with getting data in and how to combat them Sizing best practices, so you get more value from operational tools like Splunk The fastest way to overhaul your architecture, risk-free
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Data Platform Capabilities for Modern Data Management Architectures
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Type: Talk
Data management methods are evolving quickly, as enterprises invest in gaining data agility to accelerate insightful decision-making. Modern data management is being driven by an accelerated shift to data in the cloud and the subsequent innovation in data technologies and advanced analytics. Enterprises are recognizing new opportunities to derive value from their data and to save time and money, and they’re taking a fresh look at new data management approaches to reap the rewards of smarter and accelerated decision-making. In response to this demand for more modern data treatments, a confusing array of architectures, technologies, and approaches has sprung up – and it’s not easy to tell which ones will truly deliver better business outcomes and which ones are just hype. Should you invest in graph technology and metadata management? What exactly is a data fabric? How can you leverage the power of AI and machine learning? This session will take a look at trends in data management that are worth investigating, and explain how a modern data platform can help you implement them in a way that delivers business value for your enterprise.
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How Ardoq Works
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Type: Video
Understand how Ardoq will differentiate against all the competition in the market, allowing your organization to: • Connect people, technologies, and applications • Get quick time to value • Engage experts • Integrate • Build your model • Get data-driven insights Discover how New Enterprise Architecture can add value to your change initiative. Get in touch with an Ardoq specialist to learn more, follow the link in the 'Attachments' tab above.
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How Ardoq Works
By:
Type: Replay
Understand how Ardoq will differentiate against all the competition in the market, allowing your organization to: • Connect people, technologies, and applications • Get quick time to value • Engage experts • Integrate • Build your model • Get data-driven insights Discover how New Enterprise Architecture can add value to your change initiative. Get in touch with an Ardoq specialist to learn more, follow the link in the 'Attachments' tab above.
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Data-driven success: How modern data architecture unleashes business value
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Type: Replay
In today’s rapidly evolving business landscape data plays a critical role. Modern data architecture provides the tools and practices to harness the power of data and turn it into strategic advantage. Whether it is data lakehouse, data fabric, data mesh or cloud data governance modern data architecture is enabling business leaders to make better decisions, quicker. In this talk, Rajeev Pai, Director of Technology Strategy & Transformation at Deloitte, will explore what does modern data architecture entail and how it can be used to unlock business value. Key takeaways: - The need for newer ways for bringing, processing and distributing data in the enterprise. - Leading patterns and practices organizations are adopting in this journey with examples. - Challenges organizations may face when adopting some of these new approaches. - And how to overcome those challenges. Whether you are a business leader looking to drive growth and innovation or a data professional seeking to help your business this talk will provide valuable insights from frontline and research. About the speaker: Rajeev is a leader in the space of Technology Consulting & Transformation with over 20 years of experience across the globe in the financial services industry, helping business leaders navigate change. He combines deep domain expertise in Capital Markets F2B Processes and Banking to provide thought leadership and tailored advise while challenging business leaders to achieve their vision. He is experienced in large scale System Integration, Platform Re-engineering, Enterprise Architecture, Enterprise Data Management (Data Strategy, Architecture and Management), Analytics & Data Visualisation, Operating Model constructs, Design Thinking, and has strong familiarity with Emerging Tech. He is a certified in Business Sustainability Management from the Cambridge Institute of Sustainability Leadership(CISL).