Better Business Insight with DB2 Warehouse
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The True State of S/4HANA in 2024
By: Basis Technologies
Type: Blog
Today, it's reported that only 57% of SAP ECC customers will have migrated to S/4HANA by the end of 2027 when mainstream support ends. So, how can organization ensure that they're on track?
This article offers an in-depth look at the current S/4HANA migration scenario, covering:
- Adoption rate forecasts for the next decade
- Risks for early adopters and those on outdated ECC versions
- The looming cessation of support for ECC, Oracle, and IBM DB2
- The hurdles in securing resources for migration
Access this article to learn the importance of initiating S/4HANA transformation now, as well as key strategies for a swift, successful migration.
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Sync Your Mainframe Data to the Cloud for Insights
By:
Type: Video
The cloud offers innovations for the future, but your mainframe will remain your reliable system of record. Take advantage of new cloud-based services and data analytics by synchronizing your mainframe data to the cloud, virtualize data from multiple platforms and seamlessly operate in a hybrid environment without compromising the uptime and performance of your source system. Learn how to: •Access data from Adabas, Db2®, flat files, IMS™, QSAM and VSAM™ in real time •Move mainframe data to the cloud and seamlessly adopt a hybrid environment •Keep your cloud data lake in sync with on premises applications •Create a single virtual database from multiple platforms •Leverage all of your data, no matter where it resides
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Big data analytics: Data warehouse vs Hadoop
By: SAS
Type: eGuide
The traditional data warehouse is often not as cost-effective as Hadoop when it comes to data storage for big data analytics. But Hadoop isn’t a good fit for every business intelligence project—for instance, real-time analytics.
When looking at the big picture, Hadoop isn’t an effective replacement for your enterprise data warehouse. So how can you get the best of both worlds?
This expert e-guide explores how Hadoop and the data warehouse can complement each other on business intelligence projects to help you gain strategic insights.
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MicroScope – January 2022: Squaring up to ransomware
By: MicroScope
Type: Ezine
In this issue, discover how to best fend off the ever-increasing threat of ransomware, learn what the next stage of the data warehouse could be, and find out what leading channel experts believe awaits the industry in the year ahead
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Streaming von SAP-Daten und mehr nach Apache Kafka
By:
Type: Video
Daten müssen in Unternehmen immer schneller bereitgestellt werden. Oft scheitert es daran, dass einzelne Quellen nicht ohne großen Aufwand miteinander verknüpft werden können. Die Experten von Confluent, den Entwicklern von Apache Kafka®, und von Attunity, einem führenden Anbieter von Datenintegrations-Software, zeigen zusammen im Online Talk, wie Unternehmen sich den Herausforderungen der Digitalisierung erfolgreich stellen können: -Beschleunigung der Bereitstellung von Daten, um Echtzeitanalysen mit Live-Daten aus vielen Quellen zu ermöglichen. -Nahtlose Mainframe-Integration und Query-Offload für moderne, verteilte Analyse-Umgebungen. -SAP, DB2, Oracle, SQL und mehr - verwandeln Sie eine Datenbank in Minutenschnelle in einen Stream. -Erweiterung von Apache Kafka mit Confluent Platform, um alle Möglichkeiten einer modernen Streaming-Plattform auszuschöpfen.
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Comparing the top cloud data warehouses for the enterprise
By: Qlik
Type: Buyer's Guide
This buyer's guide compares the top cloud data warehouses - Amazon Redshift, Azure Synapse Analytics, Google BigQuery, and Snowflake. Inside, you'll learn about their features, architecture, and which one may be right for your enterprise. Read the full guide now to help your organization make an informed decision.
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Speed up data warehousing with Azure Synapse automation
By: Qlik
Type: eBook
In this 46-page For Dummies e-book, you'll learn about the benefits of cloud data warehousing, including scalability, security, and real-time analytics. Read on now to find out how you can build an agile data pipeline and accelerate time to value.
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How Cradlepoint Evolved Its Warehouse’s Network
By: Cradlepoint
Type: Case Study
As Cradlepoint’s warehouse operations evolved, its networking needed to as well. In this case study, learn how the organization strengthened network visibility and security by leveraging a Cradlepoint solution.
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Computer Weekly - 9 November 2021: How a cloud-first strategy helped save animals in the pandemic
By: TechTarget ComputerWeekly.com
Type: Ezine
In this week's Computer Weekly, we talk to the RSPCA about how its cloud-first strategy helped to save animals throughout the pandemic. Data warehouses have been part of the IT landscape for 30 years – but are they now old technology, and what's next? And we assess how Brexit has affected risk and resilience in the datacentre. Read the issue now.
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Knock Down Data Silos Fast With Data Virtualization
By:
Type: Video
Enterprises face a challenge on how to easily access data from multiple data sources such as VSAM™, Db2®, Adabas, Oracle®, Azure SQL Database, Snowflake® and more. You need a solution that unifies data access to non-relational, semi-structured and relational data sources under one common language – Structured Query Language (SQL) – in order to provide fast, simple data access to new applications, analytic tools and APIs. Discover how data virtualization provides an optimal solution to data sharing by keeping your data in place, whether on-premises or in the cloud. Keeping it secure yet accessible in real time. With read-write access to the your data sources, you can maintain business continuity while powering data-driven apps and modern data analytics tools. Hear from Daniel Bierman from Software AG as he explores: *How SQL data access addresses the workforce generational change *No-code options to quickly virtualize your data without disrupting business operations *The value of creating a single virtual database to unify disparate data sources on prem and in the cloud *How real-time SQL data virtualization unlocks data silos fast for API, Data Ops, ELT, ETL, and more uses
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PMI TV: Pension transfers under the spotlight
By:
Type: Video
DB pension failures have been making headlines recently casting into the spotlight the support that members receive. Jonathan Watts-Lay, Director, WEALTH at work, discusses DB transfers and the best ways to protect members.
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Strategies for the Data Warehouse in the Enterprise Today
By:
Type: Video
This one hour webinar from GigaOm Research brings together experts in modern uses of data warehousing. Featuring GigaOm Analyst William McKnight and a special guest from Vertica, Paige Roberts, the presentation will focus on strategies enterprises should be undertaking today for evolving data warehouse ecosystems. Despite the allure and utility of other analytic data constructs, enterprises continue to invest the most in, and get tremendous benefit from, great data warehouses. The data warehouse is still the key component of the actionable analytic future. However, the data warehouse of today is used differently, can accomplish new things, and requires different technical and business strategies to get the most out of it, than before. In this webinar, McKnight dives into the current state of data warehouse initiatives. He discusses how implementation realities of the last two decades have demonstrated the importance of the data warehouse, and why enterprise leaders must think differently about data warehousing as a whole. Paige Roberts, from the Vertica product marketing team, looks at specific changes in modern analytics platforms like Vertica, examines how these changes embrace the new data warehouse ecosystem and address new data warehouse requirements. This one hour webinar explores: • The state of the data warehouse today and strategies to maximize the return on data warehouse investments of 2019 and beyond. • The flavors of the data warehouse and the criteria for ensuring your data warehouse(s) is up to standard • Key considerations when building a new data warehouse, evolving an existing data warehouse, or contemplating a re-platforming. • The continued relevance of data warehousing today • How to know when to put your data warehouse in contain mode • Ideas for data platform selection for a data warehouse
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Reinvent Your Enterprise Database and Applications
By: NaviSite
Type: White Paper
AWS offers a powerful home for your legacy and on-prem Oracle deployments as you look to modernize your DB architectures. Explore this e-book to learn the 3 main strategies involved with Oracle migrations, discover how Navisite and AWS can help, and read real-world testimonials from customers who are currently benefiting from this partnership.
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Data Integration Reference Architectures for Business Acceleration with Qlik
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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End-state targets for Defined Benefit pension schemes
By:
Type: Talk
A closer look at endgame strategies and targets for DB schemes.
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Data Lake vs. Data Warehouse Comparison Guide
By: Qlik
Type: eBook
This e-book explores the key differences between data lakes and data warehouses. Inside, you'll learn about the 6 core benefits of each, top cloud solutions, and how to accelerate data delivery with Qlik. Download the e-book now to discover which data platform is right for your business.
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Future of DB pension schemes
By:
Type: Talk
Join us for a panel discussion on this critical consultation and how it could shape the future of DB pension schemes.
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Future of DB pension schemes
By:
Type: Talk
Join us for a panel discussion on this critical consultation and how it could shape the future of DB pension schemes.
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Enable a Logical Data Fabric with a Modern Hybrid Cloud Data Warehouse
By:
Type: Video
Data fabrics enable rapid adoption of new data sources, formats, volumes, and analytics technologies. Enterprises are migrating to the cloud for its elasticity and flexible data access and need their data fabrics and data warehouses to ease this evolution. Historically though data warehouses have been located on-premises and lacked the ability to meet growing data demands. However, a modern hybrid cloud data warehouse, with its agility, data awareness, data access capabilities, and business continuity offerings, simplifies and accelerates the adoption of cloud. The combination of a cloud-ready data fabric and a modern hybrid cloud data warehouse help drive a more efficient modernization of your data environment. This session will cover: · The benefits of migrating analytical workloads from on-premises to hybrid cloud data warehouse · Five key considerations as you migrate your data warehouse to the cloud · Successful use cases about customers who use logical data fabric and hybrid cloud data warehouse
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ESG and Employer Covenant – the forgotten child?
By:
Type: Talk
Regulatory, fiduciary and moral pressures have pushed ESG up the agenda for UK DB pension schemes.
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Building an AI Chatbot with Vertex AI and Astra DB
By:
Type: Video
Learn how to build an AI-powered chatbot with Astra DB and Google’s Vertex AI.
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Endgame options for smaller DB schemes
By:
Type: Talk
Smaller DB schemes face unique challenges relating to disproportionate levels of costs and barriers to good governance.
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Agility is Funding and Developing Warehouse Parks for Lease Across Africa
By:
Type: Talk
Agility is a pioneer in emerging markets and one of the largest private owners and developers of warehousing and light industrial parks in the Middle East and Africa region and owns and operates over 21 million m2 of logistics parks around the world. Agility warehouses provide an international standard infrastructure platform that supports companies doing business in Africa, enabling them to access the burgeoning African market faster and more efficiently, and to operate in Africa without having to fund or develop their own infrastructure. Agility warehouse parks in Africa deliver ready built quality warehouses that create a platform that supports imports, exports and local production. Customers can sign a lease and move in immediately. All warehouses are secure within a site perimeter wall with consistent power and IT connectivity, creating an enabling environment where our tenants can focus on their business whilst we manage the operational infrastructure. Agility warehouse parks offer bonded and non-bonded warehouse spaces, racked units, warehouse showrooms and open yards. Agility warehouses are leased for storage, distribution, packaging, processing, ecommerce and light manufacturing. Warehouses for lease start from 1,000 m2 upwards, and flexible, so units can be expanded and added to or reduced dependent on customers requirements. Agility also funds and develops built-to-suit bespoke buildings to meet specific customer demands for cold stores, data centres, life science and other requirements. https://www.agility.com/en/logistics-parks/
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Introduction to Openbravo WMS: More efficient warehouses for unified commerce
By:
Type: Talk
Join us for this session to learn about Openbravo WMS and the latest innovations of Openbravo's warehouse management solution, which is integrated with Openbravo Commerce Cloud. Openbravo WMS offers retailers and brands a multi-warehouse management solution in the cloud, equipped with a set of capabilities that increase the efficiency of their warehouses in their unified commerce strategies. It efficently manages inbound and outbound operations, stock movements and transfers, inventories and much more, to provide detailed and real-time visibility of all available inventory, through a complete central backoffice and a modern mobile component for guided execution of a variety of warehouse tasks.
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De-bunking DB smaller scheme myths
By:
Type: Talk
Join our webinar to hear from our panel who will de-bunk some of the many myths around smaller DB schemes as they venture into their de-risking journey
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Envisioning Tomorrow: Building Next-Gen Automated Warehouses
By:
Type: Video
Learn how to leverage automated systems and technologies to optimize storage, streamline operations, and enhance overall efficiency in the next generation of warehouses with our industry leading speakers. Our experts explore key technologies used in warehouse modernization with a clear emphasis on business profitability. Today's warehouses face several challenges including operational inefficiencies, safety and productivity issues. This webinar addresses these and other top challenges, demonstrating how advanced technology can offer effective solutions. You’ll also hear about: - From pilot to reality: Explore case studies on how Verizon's high-speed and low latency private 5G network helps automate warehousing operations. - Future of warehousing: Discover Bosch's innovative “Warehouse of the Future Model” for digitally transforming warehouse operations to boost efficiency and adaptability.
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Data integration to support modern BI and advanced analytics programmes
By: TechTarget ComputerWeekly.com
Type: eGuide
In this e-guide we discuss why data integration and preparation are the unsung heroes of modern BI and advanced analytics. More so than ever, it would seem, due to the ever-increasing volume and variety of data.
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Data Lakes: A Logical Approach for Faster Unified Insights
By:
Type: Talk
Data lakes and data warehouses offer organizations centralized data delivery platforms the recent Building the Unified Data Warehouse and Data Lake report by leading industry analysts TDWI we discovered 64% of organizations stated the objective for a unified Data Warehouse and Data Lakes is to get more business value and that 84% of organizations polled felt that a unified approach to Data Warehouses and Data Lakes was either extremely or moderately important. In the recent report Logical Data Fabric to the Rescue Integrating Data Warehouses, Data Lakes, and Data Hubs by Rick van der Lans, we also discovered the importance of “time to insight and speed” During this webinar, we will discuss how a logical data fabric not only helps organizations have a holistic view of their data across multiple data lakes, data warehouses, and data sources but how it improves time to value. Attend & Learn: * How a Logical Data Fabric is the right approach to assist organizations to unify their data. * The advanced features of a Logical Data Fabric that assist with optimizing your queries irrespective of data source, whether the data is in a data lake, data warehouse or other source. * How a Logical Data Fabric with Data Virtualization enhances your legacy data integration landscape to simplify data access and encourage self-service.
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Data Lakes: A Logical Approach for Faster Unified Insights (APAC)
By:
Type: Replay
Data lakes and data warehouses offer organizations centralized data delivery platforms the recent Building the Unified Data Warehouse and Data Lake report by leading industry analysts TDWI we discovered 64% of organizations stated the objective for a unified Data Warehouse and Data Lakes is to get more business value and that 84% of organizations polled felt that a unified approach to Data Warehouses and Data Lakes was either extremely or moderately important. In the recent report Logical Data Fabric to the Rescue Integrating Data Warehouses, Data Lakes, and Data Hubs by Rick van der Lans, we also discovered the importance of “time to insight and speed” During this webinar, we will discuss how a logical data fabric not only helps organizations have a holistic view of their data across multiple data lakes, data warehouses, and data sources but how it improves time to value. Attend & Learn: * How a Logical Data Fabric is the right approach to assist organizations to unify their data. * The advanced features of a Logical Data Fabric that assist with optimizing your queries irrespective of data source, whether the data is in a data lake, data warehouse or other source. * How a Logical Data Fabric with Data Virtualization enhances your legacy data integration landscape to simplify data access and encourage self-service.
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Logical Data Warehouse: Foundation of Modern Data and Analytics (APAC)
By:
Type: Talk
Companies are investing in data warehouse modernization and data lake projects for descriptive and advanced analytics; however, for the analysis to be holistic, today’s architects weave disparate data streams together, not only from these analytical sources, but also from operational, third party, and streaming data sources. Logical data warehouse is a modern architectural methodology that virtually combines all the data across the enterprise and makes it available to analytical and visualization tools that facilitate timely, insightful, and impactful decisions throughout the enterprise. In this session, you will learn: - What is logical data warehouse and how to architect one - The benefits of logical data warehouse – speed with agility
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Prevent Overprovisioning and Pay Only for Needed Cloud Resources
By: Silk Technologies Inc
Type: eBook
You should be paying for only the cloud resources that you need. Unfortunately, overprovisioning is common. In "The Art of Right-sizing Your Cloud," learn about what causes overprovisioning in the cloud – and how to prevent it.
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How Brightspeed Deployed a Zero-Copy CDP in Weeks
By:
Type: Talk
Brightspeed is one of countless organizations prioritizing the move toward a warehouse-first infrastructure – enabling incoming customer data to flow in a way that it’s actually accessible and actionable. That began with finding the right CDP partner that could not only support that warehouse connectivity with the marketing user in mind, but deliver the promise of long-term architectural flexibility as the business evolves. Going into their evaluation there was one key non-negotiable: replacing data copying from their data warehouse with direct access for their five marketing teams to Google BigQuery. But this meant cutting through a lot of smoke and mirrors of reverse ETL and warehouse-only solutions that could not deliver on robust omnichannel activation capabilities. Hear from a seasoned CDP buyer and integrator as they discuss their evaluation and why they chose ActionIQ, how they were able to deploy on their data warehouse in a matter of weeks and key marketing use cases they are now able to execute as a result of eliminating data copy.
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Future of covenant
By:
Type: Video
The importance of covenant to DB schemes is widely recognised, but often the focus is on the rating itself rather than the “so what”. With the new Funding Code expected to bake covenant into the Fast Track requirements, trustees and corporates may be wondering if they need to do anything more than rating their covenant according to TPR’s 4-box scale every three years. This talk explores how thinking around covenant has evolved, and how it needs to evolve in the future as schemes mature. Practical examples will show how and where looking beyond the rating to the key elements of covenant support and risks will help you make better decisions for your DB scheme.
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Build an E-commerce Application with React, Spring Boot and NoSQL
By:
Type: Video
In this session, we’ll show you how to build a simple e-commerce site using Astra DB, Spring Boot, and Astra Streaming. This particular workshop will focus on checkout and order processing, as we build the system which streams our order data to different parts of the “business.” We’ll also have web-side components to allow customers to view the current progress of their order.Session Details: - Setting up your Astra DB - Learn how to design high performance Cassandra data models - Learn how to build checkout and order processing features
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Bulk annuities: an investment decision?
By:
Type: Talk
Bulk annuities offer the dual benefits of a secure investment that delivers DB de-risking. We look at the relative value of these benefits for a buy-in and a buy-out.
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Modernize Your Data Warehouse with Confluent and Azure
By:
Type: Video
Migrating your on-prem data warehouse—or connecting data warehouses across clouds—to unlock analytics and machine learning innovation doesn’t need to be a multi-year lift and shift. In this webinar, see how Confluent’s data warehouse modernization solution leverages the Azure Synapse connector to help enterprises create a bridge across your Azure cloud and on-prem environments. In this webinar you will learn how to: Seamlessly connect your distributed real-time data to your data warehouse Power new analytics and apps Reduce TCO of hybrid and multi-cloud data pipelines We’ll explain how the solution works, and show you a demo!
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Analyze audio in BigQuery with Speech-to-Text
By: Google
Type: Replay
Unlock the power of your audio data! This video demonstrates how BigQuery's integration with Cloud Speech-to-Text lets you transform audio files – think customer calls, interviews, feedback – into structured text transcripts. Analyze this data at scale within your data warehouse, fueling smarter decisions and deeper customer understanding. In this video, you'll learn how to connect BigQuery to audio files in Cloud Storage, transcribe that audio using simple SQL, and combine it with other structured data in your warehouse. Watch a real-world example, as we transcribe customer support calls and gain actionable insights from their contents.
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What is a private cellular network?
By: Cradlepoint
Type: Video
Organizations operating in large-scale venues can benefit from the flexibility and security of a Private Cellular Network, combining the control and fixed cost of a private network with the reliability, security, and macro-network benefits of cellular. Watch this video to fully understand how a Private Cellular Network can benefit you.
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Data Warehouse Modernization using Data Virtualization
By:
Type: Video
Please join us for this webinar to learn: · The challenges with data warehouse modernization projects · How Data Virtualization can minimize the impact and lessen the risk of these projects · How Vancouver Coastal Health use Data Virtualization in their data warehouse modernization project
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How DB schemes could maximise their potential
By:
Type: Video
Defined benefit (DB) pension schemes in the UK are better funded than ever before, and the options for trustees and sponsors have widened. The benefits for members, corporates and the wider UK economy are significant.
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Next-Gen Warehouse Management: Success Strategies with Infor WMS
By:
Type: Video
Amidst the volatility in today's supply chains, understanding the latest trends in warehouse management is crucial. Join us for a webinar tailored to help you explore the benefits of transitioning from Factory Track or TWL to Infor WMS. Explore how Infor Warehouse Management Systems (WMS) can optimize your warehouse operations, improve efficiency, and drive business growth. Tune in to this discussion to learn: How Infor WMS seamlessly integrates with your existing Infor ERP, enhancing your operational capabilities. The evolution of warehouse management and The unique benefits of Infor WMS that set it apart from Factory Track and TWL. Real-life success stories from businesses like yours that have made the switch to Infor WMS and reaped the benefits. Don't miss this opportunity to gain valuable insights and discover how Infor WMS can empower your business for success.
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Going Predictive with your Data Warehouse
By:
Type: Talk
A data warehouse is traditionally used to manage data and report on past trends. Today, much more is possible, as modern data warehouse capabilities shift toward machine learning and other advanced analytics. Join this webcast to: - Learn about the methods and technologies to expand traditional descriptive analytics with predictive analytics - Enable predictive in your BI and reporting tools, expanding opportunities for business analysts - Offer data scientist access to the rich data sets often locked away in the data warehouse In this session, we will show how data warehouse technologies can be used as a repository for your machine learning models so you can train, manage, and deploy these models on your enterprise data whether on-premises or in the cloud. You will see how to train AI models on large data sets, supporting data scientists with their preferred languages like Python and R.
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Going Predictive with your Data Warehouse
By:
Type: Replay
A data warehouse is traditionally used to manage data and report on past trends. Today, much more is possible, as modern data warehouse capabilities shift toward machine learning and other advanced analytics. Join this webcast to: - Learn about the methods and technologies to expand traditional descriptive analytics with predictive analytics - Enable predictive in your BI and reporting tools, expanding opportunities for business analysts - Offer data scientist access to the rich data sets often locked away in the data warehouse In this session, we will show how data warehouse technologies can be used as a repository for your machine learning models so you can train, manage, and deploy these models on your enterprise data whether on-premises or in the cloud. You will see how to train AI models on large data sets, supporting data scientists with their preferred languages like Python and R.
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What next for DB pensions - surplus extraction or buyout?
By:
Type: Video
In partnership with the ICAEW, a panel of experts covered their summary of the Mansion House and Autumn Statement announcements, resulting considerations for DB Pension Schemes, the trustee view, and efficient implementation of investment strategies.
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PMI Annual Conference 2024: The future of policy in the DB de-risking landscape
By:
Type: Video
A forward-looking analysis of the regulatory landscape and its implications for the DB de-risking market, including anticipated regulatory reforms and their expected impacts on insurer decision-making, from risk management to the investment universe.
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Data Warehouse logique: Améliorez vos prises de décision et réduisez les coûts
By:
Type: Video
Savez-vous ce qu’est un entrepôt de données ou data warehouse “logique” et en quoi il diffère d'un data warehouse d'entreprise traditionnel ? Pour le cabinet Gartner, un data warehouse logique est une couche d’intégration sémantique au-dessus de votre data warehouse classique : il intègre en plus les données de sources externes et les rend disponibles pour l’analyse via des applications et outils de reporting. Lors de cette session, vous verrez pourquoi le Gartner recommande l'utilisation de la data virtualization comme couche sémantique unique, afin de se connecter à des sources de données multiples et hétérogènes, offrir la même vue des données pour tous les utilisateurs dans l’entreprise, et appliquer des politiques de sécurité et gouvernance communes et cohérentes. Tout cela sans déplacer les données ni les répliquer. Inscrivez-vous à ce webinar pour en savoir plus sur comment le data warehouse logique vous permettra ainsi d’améliorer vos prises de décision et réduire les coûts. Les points abordés : - Qu'est-ce qu'un data warehouse logique ? Différence par rapport aux modèles traditionnels - Cas d’usage typiques d'un data warehouse logique - Performances du data warehouse logique - Qu’en est-il d’un data lake logique ? - Les best practices de cas clients réels - Q&A
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PMI Eastern Region Group: Master Trusts, Preferred IFAs & a legal update
By:
Type: Talk
Join the PMI Eastern Region group and our expert speakers in exploring the considerations around moving to Master Trust, how appointing a preferred IFA can improve DB member decision making and a topical legal update.
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Evolving Toward a Real-Time Data Warehouse
By:
Type: Video
In the last decade, the rise of the cloud data warehouse, led by platforms like Redshift, has helped to modernize data warehousing by providing scalability, convenience, and most importantly flexibility and openness to a very important class of data workloads. Once this data was available in the cloud, it became possible to utilize it for additional business purposes, including customer-facing real-time analytics, by integrating with real-time data warehouses like ClickHouse. In this talk, we will introduce the concept of a real-time data warehouse by describing where it sits in the data architecture, how it addresses the needs of real-time applications, and showing why it is evolving to be a key part of any modern data stack.