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Use Apache Iceberg in a data lake to support incremental data processing

AWS Big Data

There is an increased need for data lakes to support database like features such as ACID transactions, record-level updates and deletes, time travel, and rollback. Apache Iceberg is designed to support these features on cost-effective petabyte-scale data lakes on Amazon S3. On the EMR Studio dashboard, choose Create workspace.

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Bridging the Gap Between Analytics Expectations and Reality

Sisense

Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative. Harvard Business Review Analytics Services Pulse Report for Sisense, March 2021.

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Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

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Analytics and BI Bake-Off Rocks Data & Analytics Summit LIVE and IN PERSON, 2022!

Rita Sallam

Last year, we used global vaccine data , In 2020, we used population health data. In past Bake-Offs, we used loneliness and happiness data, opioid epidemic data, traffic fatalities, college costs, and homelessness. Section 3 – Dashboard Design, Analysis, and Storytelling. EQ Technologic.