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A Closer Look at The Next Phase of Cloudera’s Hybrid Data Lakehouse

Cloudera

With built-in features like time travel, schema evolution, and streamlined data discovery, Iceberg empowers data teams to enhance data lake management while upholding data integrity. Available for cloud and now also for the data center.

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Don’t let your data pipeline slow to a trickle of low-quality data

IBM Big Data Hub

In addition to data observability, IBM clients can take advantage of use cases such as multicloud data integration, data governance and privacy, customer 360, and MLOps and trustworthy AI. Data observability will also integrate with these other use cases for improved results where both are applied.

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How IBM HR leverages IBM Watson® Knowledge Catalog to improve data quality and deliver superior talent insights

IBM Big Data Hub

A long-standing partnership between IBM Human Resources and IBM Global Chief Data Office (GCDO) aided in the recent creation of Workforce 360 (Wf360), a workforce planning solution using IBM’s Cognitive Enterprise Data Platform (CEDP). Data quality is also critical for data governance.

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Dimensional modeling in Amazon Redshift

AWS Big Data

We have identified the following numerical facts to measure: Quantity of tickets sold per sale Commission for the sale Implementing the Fact There are three types of fact tables (transaction fact table, periodic snapshot fact table, and accumulating snapshot fact table). Each serves a different view of the business process.

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Cloud Data Warehouse Migration 101: Expert Tips

Alation

“Cloud data warehouses can provide a lot of upfront agility, especially with serverless databases,” says former CIO and author Isaac Sacolick. There are tools to replicate and snapshot data, plus tools to scale and improve performance.” What Are the Biggest Business Risks to Cloud Data Migration? But you must be tough!”.

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5 Reasons to Use Apache Iceberg on Cloudera Data Platform (CDP)

Cloudera

Figure 1: Apache Iceberg fits the next generation data architecture by abstracting storage layer from analytics layer while introducing net new capabilities like time-travel and partition evolution. #1: Apache Iceberg enables seamless integration between different streaming and processing engines while maintaining data integrity between them.

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Simplify AWS Glue job orchestration and monitoring with Amazon MWAA

AWS Big Data

In these scenarios, customers looking for a serverless data integration offering use AWS Glue as a core component for processing and cataloging data. Finally, we recommend visiting the AWS Big Data Blog for other material on analytics, ML, and data governance on AWS.