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Open Data Lakehouse powered by Iceberg for all your Data Warehouse needs

Cloudera

Cloudera Contributors: Ayush Saxena, Tamas Mate, Simhadri Govindappa Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), we are excited to see customers testing their analytic workloads on Iceberg. Iceberg basics Iceberg is an open table format designed for large analytic workloads.

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How to Use Apache Iceberg in CDP’s Open Lakehouse

Cloudera

In June 2022, Cloudera announced the general availability of Apache Iceberg in the Cloudera Data Platform (CDP). With Iceberg in CDP, you can benefit from the following key features: CDE and CDW support Apache Iceberg: Run queries in CDE and CDW following Spark ETL and Impala business intelligence patterns, respectively. snapshot_id.

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

AWS Big Data

In early 2022, AWS announced general availability of Athena ACID transactions, powered by Apache Iceberg. Apache Iceberg is designed to support these features on cost-effective petabyte-scale data lakes on Amazon S3. The snapshot points to the manifest list. Starting with Amazon EMR version 6.5.0,

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5 Must-Have Features of Backup as a Service For Hybrid Environments

CIO Business Intelligence

Multiple touch points of administration slow down production, and the costs of software licensing, disruptive upgrades, and over-provisioning can add up fast. Modern cloud services are designed to do a better job protecting data and apps in hybrid cloud environments, and to simplify operations and keep costs down. CAGR through 2025.

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Choosing an open table format for your transactional data lake on AWS

AWS Big Data

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. For updates, previous versions of the old values of a record may be retained until a similar process is run.

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Join a streaming data source with CDC data for real-time serverless data analytics using AWS Glue, AWS DMS, and Amazon DynamoDB

AWS Big Data

Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets. Under Instance configuration , for High Availability , choose Dev or test workload (Single-AZ).