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

AWS Big Data

Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. In early 2022, AWS announced general availability of Athena ACID transactions, powered by Apache Iceberg. and later supports the Apache Iceberg framework for data lakes.

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Enable business users to analyze large datasets in your data lake with Amazon QuickSight

AWS Big Data

This blog post is co-written with Ori Nakar from Imperva. Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes. Imperva’s data lake has a few dozen different datasets, in the scale of petabytes.

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Build a transactional data lake using Apache Iceberg, AWS Glue, and cross-account data shares using AWS Lake Formation and Amazon Athena

AWS Big Data

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level.

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The Future of the Data Lakehouse – Open

Cloudera

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

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Does Cost Reduction Play a Role in Digital Transformation?

Cloudera

CIO blog post : “Digital transformation is a foundational change in how an organization delivers value to its customers.”. A major goal of these projects is cost reduction; it’s not sexy, it’s pragmatic. Cost savings opportunities. These data lakes house much of the data needed to also support other use cases.

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Dive deep into AWS Glue 4.0 for Apache Spark

AWS Big Data

You can discover and connect to over 70 diverse data sources, manage your data in a centralized data catalog, and create, run, and monitor data integration pipelines to load data into your data lakes and your data warehouses. AWS Glue Data Catalog client 3.6.0 Delta Lake 2.1.0

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The year’s top 10 enterprise AI trends — so far

CIO Business Intelligence

It doesn’t matter how accurate an AI model is, or how much benefit it’ll bring to a company if the intended users refuse to have anything to do with it. The world has flipped since 2022,” says David McCurdy, chief enterprise architect and CTO at Insight. Then gen AI came out.