Remove Data Integration Remove Metadata Remove Recreation/Entertainment
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Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

This means the data files in the data lake aren’t modified during the migration and all Apache Iceberg metadata files (manifests, manifest files, and table metadata files) are generated outside the purview of the data. This can be a much less expensive operation compared to rewriting all the data files.

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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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Cloudera Provides First Look at Cloudera Data Platform, the Industry’s First Enterprise Data Cloud

Cloudera

This demo highlighted powerful capabilities like Adaptive Scaling, Cloud Bursting, and Intelligent Migration that make running data management, data warehousing, and machine learning across public clouds and enterprise data centers easier, faster and safer.

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Use Amazon Athena to query data stored in Google Cloud Platform

AWS Big Data

Some examples include AWS data analytics services such as AWS Glue for data integration, Amazon QuickSight for business intelligence (BI), as well as third-party software and services from AWS Marketplace. This post demonstrates how to use Athena to run queries on Parquet or CSV files in a GCS bucket.

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Implement disaster recovery with Amazon Redshift

AWS Big Data

To develop your disaster recovery plan, you should complete the following tasks: Define your recovery objectives for downtime and data loss (RTO and RPO) for data and metadata. Identify the Redshift data shares that were previously configured for the original producer cluster.

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Apache HBase online migration to Amazon EMR

AWS Big Data

Test and verify After incremental data synchronization is complete, you can start testing and verifying the results. To guarantee the data integrity, you can check the number of HBase table region and store files for the replicated tables from the Amazon EMR web interface for HBase, as shown in the following figure.

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Exercising Control Over Transfer Pricing: How to Avoid Risks at Year-End

Jet Global

Managing Data Integrity. Before rolling the new process out, the company needed to address data integrity, a normal stage in any new software implementation project. Following the data integrity phase, the company focused on setting up the correct processes and on rightsizing the project.

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