Run complex queries on massive amounts of data stored on your Amazon DocumentDB clusters using Apache Spark running on Amazon EMR
By: AWS View more from AWS >>
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Real-time, automated cost optimization for Amazon EMR
By: Pepperdata
Type: Video
Is your organization wasting resources and overspending in Amazon EMR?
In this video, you’ll learn how the Pepperdata Capacity Optimizer for Amazon EMR operates dynamically in real time to optimize performance without the need to model your workloads ahead of time, change application code, or alter platform settings.
Tune in now to learn how you can enable autonomous optimization without manual intervention and get the most out of your Amazon EMR instance.
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Top Online Bank Realizes 30-75 Percent Cost Reductions on Amazon EMR, Invests Savings in Further Expansion
By: Pepperdata
Type: Case Study
In this case study, you’ll learn how a top online bank leveraged Pepperdata’s autonomous cost optimization on their Amazon EMR clusters and saw a reduction of 30-75% in instance hours, translating to an average monthly cost savings of $140,000. The bank also used Pepperdata's dashboards to resolve performance issues.
Based on these successes, the bank plans to expand its use of Pepperdata across Amazon EMR and EKS for ongoing savings and improvements. Read the full case study now to find out how you can leverage continuous optimization to achieve unparalleled observability in your Amazon environment.
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How Autodesk Optimized its Amazon EMR with Pepperdata
By: Pepperdata
Type: Webcast
Cloud cost optimization is critical for establishing an effective big data framework. That’s why AWS and Pepperdata gathered multiple experts to discuss how organizations can maximize savings in their Amazon EMR instances.
During this session, you’ll learn how you can leverage Pepperdata’s Capacity Optimizer to enable more efficient resource utilization and decrease compute expenses.
Tune in now to find out how you can lower operational expenses while enhancing your Amazon EMR scalability and reliability.
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Global Technology Firm Realizes up to 25% Cost Savings on Amazon EMR with Pepperdata
By: Pepperdata
Type: Case Study
A global technology firm realized up to 25% cost savings on Amazon EMR by using Pepperdata. Learn how this company optimized its cloud infrastructure in this case study.
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Maximize Your Savings: How Autodesk Optimized its Amazon EMR with Pepperdata
By:
Type: Talk
You’ve migrated your workloads to Amazon EMR, and you want to optimize the environment and do more for less. With cloud cost optimization critical in establishing an innovative big data framework, AWS and Pepperdata gathered multiple experts to discuss how to maximize your savings with Amazon EMR and Pepperdata. In this webinar, you will learn: - AWS customer best practices to optimize your Amazon EMR utilization - How Autodesk, a global leader offering design and manufacturing software, lowered operational expenses while enhancing its Amazon EMR scalability and reliability. - How implementing Pepperdata Capacity Optimizer can help you see an immediate cost reduction in your Amazon EMR infrastructure bill while maintaining performance SLAs. Webinar Speakers: Kiran Guduguntla, AWS Worldwide Business Leader for Amazon EMR Kirk Lewis, Pepperdata Senior Solutions Architect and special guest Mark Kidwell, Autodesk Chief Data Architect, Data Platforms and Services Who Should Attend: CIO, CFO, VP of IT, FinOps Engineer, Platform Engineer, IT Ops, Cloud Architect, Data Platform, Big Data Architect
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How Autodesk boosted performance and cut costs with Pepperdata
By: Pepperdata
Type: Case Study
In this case study, you'll find out how Autodesk reduced Amazon EMR costs by 50% and boosted performance with Pepperdata. Read on now to learn how this leading software company optimized its big data infrastructure and achieved significant savings.
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Discover how a leading internet company saved 33% on Spark costs
By: Pepperdata
Type: Case Study
This case study details how a leading consumer internet company achieved a 33% cost savings for Apache Spark on Amazon EKS by using Pepperdata's optimization solutions. Read the full case study now to learn how you can achieve similar benefits.
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Optimizing Spark Dynamic Allocation: Limitations and Efficiency
By: Pepperdata
Type: White Paper
Spark Dynamic Allocation can automatically scale resources, but it still leaves resource waste due to uneven task utilization. Learn how to address this challenge and optimize Spark performance in this white paper.
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Maximize performance in your Kubernetes environment
By: Pepperdata
Type: Case Study
In this case study, you'll learn how a consumer financial services firm used Pepperdata's Capacity Optimizer to run the same workloads with 33% less infrastructure, leading to cost savings despite larger memory requirements. Read on now to find out you can maximize performance in your organization's Kubernetes environment.
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Debunking Apache Spark myths: Cluster autoscaling and resource utilization
By: Pepperdata
Type: White Paper
Cluster autoscaling is crucial for cloud-based Spark workloads, but it doesn't solve the problem of resource waste within Spark applications. Even with autoscaling, Spark apps can still request and use more resources than needed. Learn more about this in the white paper.
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How to End EMR Testing Headaches with Non-Invasive Test Automation
By: Keysight
Type: eBook
Explore how non-invasive test automation can solve EMR testing challenges and improve patient data security. Learn how Eggplant's AI-powered solution enables secure, end-to-end testing without accessing source code. Read the eBook to discover how to end EMR testing headaches.
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Automation Intelligence for Any EMR
By: Keysight
Type: eBook
As the healthcare industry becomes more digitized, traditional manual testing methods can't keep up with the complexity of customized, integrated electronic medical record (EMR) systems. Learn how intelligent automation can help ensure your EMR platforms perform seamlessly and securely. Read the full eBook to discover more.
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Spark Muscles Into Big Data Processing
By: TechTarget Data Management
Type: eBook
Armed with data processing, streaming and machine learning capabilities, the multitalented Apache Spark architecture is becoming a force in its own right.
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Busting the myths of Apache Spark Optimization
By: Pepperdata
Type: White Paper
Identifying wasteful Spark apps is just the first step in cost optimization. Observability and monitoring tools can surface problems, but don't automatically fix waste. Read this white paper now to learn how to move beyond manual tuning and eliminate Spark optimization challenges.
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The 5 myths of apache spark optimization
By: Pepperdata
Type: Webcast
Today, optimizing your Apache Spark isn’t always easy. Many developers find themselves only able to remedy some of the issues they run into, leaving most feeling either frustrated or helpless. So, what can organizations and their teams do to fix this? Tune into this webinar to learn more.
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Discover the truth about manual tuning for Spark applications
By: Pepperdata
Type: White Paper
Manual tuning can help reduce resource waste in Spark applications, but it doesn't address in-application waste or scale well. Learn how to overcome these challenges and optimize Spark applications in this white paper.
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Break Free with Amazon Aurora or Move to Managed with Amazon RDS?
By:
Type: Talk
Rackspace Technology and AWS discuss breaking free from commercial databases with Amazon’s MySQL and PostgreSQL-compatible relational database versus moving to Amazon’s fully managed relational database service. In this webinar, you’ll learn: · The advantages of migrating on-prem Oracle, MSSQL, MySQL, and PostgreSQL to Amazon RDS vs Amazon Aurora (Use cases, pros/cons, path/requirements, timeframe, costs) · Why companies regularly choose to migrate to Amazon RDS before moving to Amazon Aurora · The true cost of choosing to migrate to both consecutively vs migrating directly to Amazon Aurora
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Break Free with Amazon Aurora or Move to Managed with Amazon RDS?
By:
Type: Replay
Rackspace Technology and AWS discuss breaking free from commercial databases with Amazon’s MySQL and PostgreSQL-compatible relational database versus moving to Amazon’s fully managed relational database service. In this webinar, you’ll learn: · The advantages of migrating on-prem Oracle, MSSQL, MySQL, and PostgreSQL to Amazon RDS vs Amazon Aurora (Use cases, pros/cons, path/requirements, timeframe, costs) · Why companies regularly choose to migrate to Amazon RDS before moving to Amazon Aurora · The true cost of choosing to migrate to both consecutively vs migrating directly to Amazon Aurora
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Strata Data Conference NYC –Pepperdata –HDFS on Kubernetes: Lessons Learned
By:
Type: Video
There is growing interest in running Spark natively on Kubernetes. Spark applications often access data in HDFS, and Spark supports HDFS locality by scheduling tasks on nodes that have the task input data on their local disks. Kimoon Kim demonstrates how to run HDFS inside Kubernetes to speed up Spark.
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Monitoring Spark on Kubernetes: Key Performance Metrics
By:
Type: Replay
Spark on Kubernetes is growing in popularity due to improved isolation, better resource sharing, and the ability to leverage homogeneous and cloud-native infrastructure for the entire stack. However, running Spark on Kubernetes in a stable, performant, cost-efficient, and secure manner still presents complex challenges. In this webinar, Alex Pierce discusses the key performance metrics to focus on when monitoring and optimizing Spark performance on Kubernetes. Topics include: - Core concepts and setup of Spark on Kubernetes - Spark on Kubernetes architecture - Monitoring Spark on Kubernetes best practices - Why Prometheus alone is not enough for Kubernetes monitoring - Observability and optimization - Configuration tips for performance and efficient resource sharing - End-to-end visibility for Spark on Kubernetes
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Overcome application overprovisioning, reduce cloud costs
By: Pepperdata
Type: White Paper
Overprovisioning at the application level can lead to significant cloud cost waste, often accounting for 40% of total waste. Learn how Pepperdata's real-time optimization can reduce cloud costs by 30-47% without manual tuning. Read the full white paper to discover this powerful solution.
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Exploring the Limitations of Instance Rightsizing for Apache Spark
By: Pepperdata
Type: White Paper
While Instance Rightsizing with tools like Karpenter can reduce cloud costs, it has limitations in addressing the inherent waste within data-intensive applications like Apache Spark. Learn more about the challenges of Instance Rightsizing and other optimization myths in this White Paper.
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Optimize Spark Performance on Kubernetes - Part 1
By:
Type: Replay
Running Spark on Kubernetes is growing in popularity. Reasons for the growth are improved isolation, better resource sharing, and the ability to leverage homogeneous and cloud-native infrastructure for the entire stack. But running Spark on Kubernetes in a stable, performant, cost-efficient, and secure manner also presents specific challenges. In this webinar, Alex Pierce will talk about how to optimize Spark performance on Kubernetes. Topics include: – Making Spark-on-k8s reliable at scale – Core concepts and setup of Spark on Kubernetes – Configuration tips for performance and efficient resource sharing – Spark-app level dynamic allocation and cluster level autoscaling – Monitoring and security best practices
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Optimize Spark Performance on Kubernetes
By:
Type: Talk
Running Spark on Kubernetes is growing in popularity. Reasons for the growth are improved isolation, better resource sharing, and the ability to leverage homogeneous and cloud-native infrastructure for the entire stack. But running Spark on Kubernetes in a stable, performant, cost-efficient, and secure manner also presents specific challenges. In this webinar, Alex Pierce will talk about how to optimize Spark performance on Kubernetes. Topics include: – Making Spark-on-k8s reliable at scale – Core concepts and setup of Spark on Kubernetes – Configuration tips for performance and efficient resource sharing – Spark-app level dynamic allocation and cluster level autoscaling – Monitoring and security best practices
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Reduce Data Security Risk Across AWS Data Services
By:
Type: Talk
In this webinar, Bob and Vince will discuss how to reduce data security and governance risks, while reducing the effort needed to manage data security governance across all your AWS Data Services, including Amazon S3, Amazon EMR, Amazon Athena, Amazon Redshift, and Amazon RDS. This webinar will also discuss how this unified approach to data security governance can be integrated into a data stewardship program that empowers the business and reduces the burden on IT. Learn how adopting a unified data security governance approach, as well as implementing a data stewardship program will allow you to greatly automate, simplify, and streamline data security governance processes for AWS analytics use cases. In this webinar, you will learn: • How to automate and simplify data security across AWS data services • How to deploy a data security governance stewardship program • How to integrate data security governance into your broader AWS ecosystem
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Spark Performance Tuning on Kubernetes Best Practices (Part 2)
By:
Type: Talk
Running Spark on Kubernetes in a stable, performant, cost-efficient, and secure manner presents complex challenges. Spark performance tuning on Kubernetes ensures you get the best performance by optimizing system resources and tuning configurations. Join Pepperdata Field Engineer Alex Pierce as he discusses how to reduce the complexity of monitoring and managing Spark on Kubernetes with autonomous optimization and full-stack observability. Topics include: • Automation and observability for lowering costs and improving performance • Deploying, managing, monitoring, and simplifying Spark on Kubernetes: big data application monitoring, platform monitoring, and dynamic optimization • Configuring for performance and efficiency • Spark app-level dynamic allocation and cluster level autoscaling • What Spark on Kubernetes performance success looks like
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Spark Performance Tuning on Kubernetes Best Practices (Part 2)
By:
Type: Replay
Running Spark on Kubernetes in a stable, performant, cost-efficient, and secure manner presents complex challenges. Spark performance tuning on Kubernetes ensures you get the best performance by optimizing system resources and tuning configurations. Join Pepperdata Field Engineer Alex Pierce as he discusses how to reduce the complexity of monitoring and managing Spark on Kubernetes with autonomous optimization and full-stack observability. Topics include: • Automation and observability for lowering costs and improving performance • Deploying, managing, monitoring, and simplifying Spark on Kubernetes: big data application monitoring, platform monitoring, and dynamic optimization • Configuring for performance and efficiency • Spark app-level dynamic allocation and cluster level autoscaling • What Spark on Kubernetes performance success looks like
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Monitoring Spark on Kubernetes: Key Performance Metrics
By:
Type: Talk
Spark on Kubernetes is growing in popularity due to improved isolation, better resource sharing, and the ability to leverage homogeneous and cloud-native infrastructure for the entire stack. However, running Spark on Kubernetes in a stable, performant, cost-efficient, and secure manner still presents complex challenges. In this webinar, Alex Pierce discusses the key performance metrics to focus on when monitoring and optimizing Spark performance on Kubernetes. Topics include: - Automation and observability for lowering costs and improving performance - Deploying, managing, monitoring, and simplifying Spark on Kubernetes: big data application monitoring, platform monitoring, and dynamic optimization - Configuring for performance and efficiency - Spark app-level dynamic allocation and cluster level autoscaling - The fastest way to improve Spark on Kubernetes performance
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Optimizing Apache Spark to Eliminate Application Waste
By: Pepperdata
Type: White Paper
Explore how to eliminate waste in Apache Spark applications and maximize cloud cost savings. Pepperdata's Capacity Optimizer autonomously remediates unused resources to increase node utilization, without requiring application changes. Learn how to reduce instance hours and costs by 30-47% on average. Read the white paper to discover more.
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Best Practices for Spark Performance Management
By:
Type: Replay
Gain the knowledge of Spark veteran Alex Pierce on how to manage the challenges of maintaining the performance and usability of your Spark jobs. Apache Spark provides sophisticated ways for enterprises to leverage big data compared to Hadoop. However, the increasing amounts of data being analyzed and processed through the framework is massive and continues to push the boundaries of the engine. This webinar draws on experiences across dozens of production deployments and explores the best practices for managing Apache Spark performance. Learn how to avoid common mistakes, improve the usability, supportability and performance of Spark. Topics include: – Serialization – Partition sizes – Executor resource sizing – DAG management
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AWS Explained: The Essential Guide to Understanding Amazon Web Services
By: TechTarget Cloud Computing
Type: eGuide
What is Amazon Web Services? Find out in TechTarget's guide. Learn about AWS's key services, benefits, pricing, and real-world use cases to see how it drives scalability and innovation. Perfect for anyone looking to expand their cloud strategy.
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Sell more on Amazon with NetSuite Integration
By:
Type: Replay
Selling on Amazon enables ecommerce businesses to reach new customers and generate new revenue streams. However, delivering exceptional shopper experiences is critical for driving new and repeat sales on Amazon, while standing out from the competition. Therefore, businesses must focus on providing flawless customer experiences through fully automated processes. Mid-market and enterprise brands and retailers, can leverage integration to fully automate business processes between Amazon and NetSuite. The right integration will ensure streamlined order management, efficient fulfillment, and effective product data management, delivering consistent shopper experiences and supporting scalable growth. Join us to discover best practices and actionable insights on achieving operational excellence with Amazon and NetSuite integration. In this webinar, you’ll learn: Benefits of integrating Amazon and NetSuite with Celigo How to get a quick start with Celigo’s Amazon - NetSuite Integration App How to optimize your Amazon operations through automation How to automatically fulfill Amazon sales orders via 3PL
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Securing Apache Spark Big Data Operations
By:
Type: Talk
A holistic approach to securing Spark-based data engineering: Apache Spark is an open source toolkit that helps users develop parallel, distributed data engineering and machine learning applications and run them at scale. In this webinar, Rob Gibbon – product manager, and Massimiliano Gori – senior information security lead, will survey the state of big data security best practices and outline both high level architectures and pragmatic steps that you can take to secure your Spark applications – wherever they may be running. We will cover: An introduction to Apache Spark - what it is and how it works Motives and techniques of bad actors How to identify and prioritise security requirements. Pragmatic steps to secure Spark based on Kubernetes and object storage.
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Securing Apache Spark Big Data Operations
By:
Type: Replay
A holistic approach to securing Spark-based data engineering: Apache Spark is an open source toolkit that helps users develop parallel, distributed data engineering and machine learning applications and run them at scale. In this webinar, Rob Gibbon – product manager, and Massimiliano Gori – senior information security lead, will survey the state of big data security best practices and outline both high level architectures and pragmatic steps that you can take to secure your Spark applications – wherever they may be running. We will cover: An introduction to Apache Spark - what it is and how it works Motives and techniques of bad actors How to identify and prioritise security requirements. Pragmatic steps to secure Spark based on Kubernetes and object storage.
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Generative BI from Amazon QuickSight
By:
Type: Video
Curious to learn more about Generative AI from Amazon? Learn how Amazon is leveraging the new Large Language Models (LLM) capabilities available through Amazon Bedrock to deliver a business intelligence tool to help transform traditional multistep business Intelligence (BI) tasks into intuitive and powerful natural language experiences with Generative BI capabilities in Amazon QuickSight. Watch this video to hear AWS experts dive into Amazon QuickSight’s Generative BI capabilities. Learn about how anyone can interact with data in natural language, create and share compelling data stories, refine visuals, and build complex calculations by simply asking QuickSight Q.
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How to Process Tons of Data for Cheap with Spark + Kubernetes
By:
Type: Replay
This webinar has something for everyone, whether technical or not. On the business side, you’ll get an overview of how to better manage your infrastructure spend while providing the compute your analysts and data scientists need as well as a practical demonstration of how autoscaling your data processing infrastructure provides the horsepower you need without breaking the bank. On the technical side, if you like Spark for processing big data and Kubernetes for scaling and managing containers but you haven’t run Spark on Kubernetes yet, this is the webinar for you. In this one hour session, you’ll learn: - Why Kubernetes is a great scheduler for Spark jobs - How to quickly spin up a managed Kubernetes cluster on AWS and run you first Spark job from your environment - How Dataiku lets data scientists spin up Kubernetes clusters and run Spark jobs with just a few mouse clicks
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Under the Hood of Vertica: Machine Learning and Streaming Data Analytics
By:
Type: Video
Join us for this next session of “Under the Hood of Vertica” as we take a deep dive into Vertica’s integration with Apache Spark, an in-memory data processing engine. Our technical experts will discuss Vertica’s latest support for Apache Spark version 2.1, review common use cases for each, and demonstrate how to leverage Vertica and Spark together to enable continuous, real-time processing and transformation of data streams.
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Amazon's Expanding Empire: From E-Commerce, Cloud to Ads
By:
Type: Video
Amazon is a global powerhouse that impacts our lives in numerous ways, from online shopping to cloud services and beyond. Institutional investors should pay close attention to Amazon due to its continuous innovation and expansion into new markets. Watch this webinar where Rihard Jarc, Founder of UncoverAlpha & CIO of New Era Funds, and Barry Schwartz, Chief Investment Officer, Baskin Wealth Management, explored Amazon's evolving business landscape and its expansive reach across various sectors. Viewers will gain comprehensive insights into Amazon's strategic moves and future development. * Key Discussion Points: 1. Amazon E-Commerce - Shift from 1P to 3P: Discover how Amazon's transition from first-party to third-party sellers affects its business. - Temu and Social Commerce: The potential impact of emerging platforms and social commerce trends on Amazon. 2. AWS (Amazon Web Services) - Client Preferences and Competitive Positioning: Understand why businesses choose AWS and its standing among leading cloud providers. - Generative AI Strategy: Learn about AWS's readiness and strategy for the next wave of AI innovation. 3. Amazon Ad Business - Integration with E-Commerce: How Amazon's advertising business complements its e-commerce operations. - Prime Video Ads: The implications of introducing ads on Prime Video for Amazon's advertising landscape. 4. Amazon's New Business Lines - Project Kuiper and Logistics: Get insights into Amazon's satellite internet initiative and logistics operations. - Healthcare/Pharma Expansion: Explore Amazon's ventures into the healthcare and pharmaceutical sectors. *Disclaimer: The views presented are solely the guests' own opinions, and do not represent the views of AlphaSense. Nothing in this broadcast constitutes investment advice.
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Drive Cloud Performance on Amazon EMR with Autoscaling
By:
Type: Talk
Autoscaling automatically increases or decreases the computational resources delivered to a cloud workload based on need. This typically means adding or reducing active servers (instances) that are leveraged against your workload within an infrastructure. The promise of autoscaling is that workloads receive exactly the cloud computational resources they require at any given time, and you only pay for the server resources you need, when you need them. Autoscaling enables applications to perform their best when demand changes, but depending on the application, performance varies. While some applications are constant and predictable, others are bound by CPU or memory, or “spiky” in nature. Autoscaling automatically addresses these variables to ensure optimal application performance. Amazon EMR, Azure HDInsight, and Google Cloud Dataproc all provide autoscaling for big data and Hadoop with a different approach. While autoscaling provides the elasticity that customers require for their big data workloads, it can lead to exorbitant runaway waste and cost and management complexity. Estimating the right number of cluster nodes for a workload is difficult; user-initiated cluster scaling requires manual intervention, and mistakes are often costly and disruptive. Join Pepperdata Field Engineer Alex Pierce for this discussion about operational challenges associated with maintaining optimal big data performance in the cloud, what milestones to set, and recommendations on how to create a successful cloud migration framework. Learn the following: – Autoscaling types – Autoscaling strengths and weaknesses – When to use autoscaling and what autoscaling does well – Is traditional autoscaling limiting your success? – What is optimized cloud autoscaling? – What does cloud autoscaling success look like?
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Insights from City of Sparks' IT Decision Maker—Steve Davidek
By:
Type: Video
In this brief, video clip hear insights from the City of Sparks (NV) IT Manager, Steve Davidek, on the security challenges faced by most governments and business organizations. Learn how Arctic Wolf's industry-leading security operations center (SOC)-as-a-service–the AWN CyberSOC–helped the City of Sparks vastly improve its threat detection and response.
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Spark 23 Pre-Event
By:
Type: Video
Get ready for a thrilling pre-event leading up to Spark 23, the most anticipated Service Desk Institute event of the year! Join us for an enlightening discussion that will set the stage for what's to come. As a primer for the much-anticipated Spark 23, we're bringing together two industry luminaries to discuss what you can expect from this year's Service Desk Institute Conference. Join Matt Beran, the charismatic host of the Ticket Volume podcast, and Alan Nance, a seasoned Digital Transformation Leader, as they delve into the trends, topics, and technologies shaping the future of service desks. This pre-event will equip you with insights, inspire you with ideas, and get you fired up for what promises to be an unforgettable Spark 23. Don't miss out—mark your calendars now!
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Spark 23 Pre-Event
By:
Type: Talk
Get ready for a thrilling pre-event leading up to Spark 23, the most anticipated Service Desk Institute event of the year! Join us for an enlightening discussion that will set the stage for what's to come. As a primer for the much-anticipated Spark 23, we're bringing together two industry luminaries to discuss what you can expect from this year's Service Desk Institute Conference. Join Matt Beran, the charismatic host of the Ticket Volume podcast, and Alan Nance, a seasoned Digital Transformation Leader, as they delve into the trends, topics, and technologies shaping the future of service desks. This pre-event will equip you with insights, inspire you with ideas, and get you fired up for what promises to be an unforgettable Spark 23. Don't miss out—mark your calendars now!
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Riding the elephant: how to manage big data
By: TechTarget ComputerWeekly.com
Type: eGuide
Big data vendors – such as the Hadoop distributors – will say they see signs that big data science projects are giving way to large scale implementations. But how are user organisations managing those? How are they designing their IT organisations, and the rest, to manage and capitalise on big data?
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Fix Spark Performance Issues Without Thinking Too Hard
By:
Type: Replay
This discussion explores the results of analyzing thousands of Spark jobs on many multi-tenant production clusters. We will discuss common issues we have seen, the symptoms of those issues, and how you can address and overcome them without thinking too hard. Pepperdata big data performance management gathers trillions of performance data points on hundreds of production clusters running Spark, covering a variety of industries, applications, and workload types. Based on analyzing the behavior and performance of thousands of Spark applications and use case data from the Pepperdata Big Data Performance report, Heidi and Alex will discuss key performance insights. Topics include best and worst practices, gotchas, machine learning, and tuning recommendations.
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Overcome Top ABM Challenges: Expert Insights
By: Informa TechTarget
Type: eBook
84% of surveyed TechTarget customers reported that they are actively planning and executing ABM in their GTM strategy. So, how can businesses unlock the best results from their ABM program? For guidance, dig into this 12-page e-book penned by TechTarget’s SVP of Customer Strategy and Enablement, Jillian Coffin.
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Unlocking Amazon QuickSight: Your Comprehensive Guide to Embedded BI
By:
Type: Video
Looking to take the next step with your organization’s business intelligence strategy? Tailored for organizations seeking a deeper understanding of Amazon QuickSight's capabilities, this step-by-step webinar is ideal for companies interested in embedding QuickSight within their web portals or external applications. In this exclusive session, expert presenters will guide you through an immersive demo showcasing various scenarios you’re likely to encounter with Amazon QuickSight, providing valuable insights into the intricacies of QuickSight embedding, from secure data restriction to embedding scenarios from internal and external perspectives. Whether you are a seasoned developer or an executive seeking to improve your organization's analytics infrastructure, tune in to this webinar for a walkthrough of everything you ever wanted to know about Amazon QuickSight. For additional information, please contact: pbq-support@amazon.com
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VEEAM & Microsoft Healthcare Summit: Secure Patient Data with EMR Solutions
By:
Type: Talk
The Veeam | Microsoft Healthcare Summit on Nov8th, 2023 will bring together Healthcare professionals, IT leaders, and security experts to discuss the latest innovations in secure hybrid-cloud EMR, including access control, encryption, disaster recovery, and employee training, for protecting patient data with Secure EMR solutions. Learn why Healthcare organizations are adopting secure hybrid-cloud EMR solutions to protect patient data from ransomware attacks, human errors, data losses and insider threats with VEEAM, Microsoft and Kyndryl.
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Virtual Onboarding: The 5 Keys to Success
By:
Type: Replay
2020 made virtual onboarding our new reality. What was initially seen as a band-aid solution, is quickly becoming a permanent part of the new world of work. So how do we get it right? This webinar combines years of research with real-life examples to uncover a tried-and-tested framework for virtual onboarding. Guests: Amazon's Kate Pavlina and Sundt's Jon-Paul Jaramillo What You'll Learn: 1) Insights and findings from years of research into the virtual onboarding practices of America’s top tech companies 2) What makes or breaks virtual onboarding: the most important elements for new hires and what they need to thrive 3) How Sundt designed and created a virtual onboarding program that sparks human connection 4) A tried-and-tested framework for virtual onboarding – and how to bring the experience to life
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Advanced Protection for Small and Medium Businesses
By:
Type: Talk
Security threats are increasing in frequency and sophistication, but small and medium size businesses (SMBs) lack the expertise, manpower and IT budget to adequately address them. SMBs need solutions that evolve with the threat landscape, are easy to use, and combine communications and threat prevention. Check Point’s Quantum Spark security gateways protect SMBs from the latest security threats with up to 2Gb of threat prevention performance, are easy to manage from the cloud or on-the-go with a mobile app, and provide optimized internet connectivity including Wi-Fi, GbE, VDSL and LTE wireless in an “all in one” solution. Quantum Spark is also optimized for delivery by managed service providers as a monthly service, so any SMB can be secure regardless of their budget or requirements. Learn how to deliver Quantum Spark advanced SMB security to your customers.