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Accelerate HiveQL with Oozie to Spark SQL migration on Amazon EMR

AWS Big Data

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. We split the solution into two primary components: generating Spark job metadata and running the SQL on Amazon EMR. The script generates a metadata JSON file for each step.

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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. The Iceberg table is synced with the AWS Glue Data Catalog.

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Extreme data center pressure? Burst to the cloud with CDP!

Cloudera

Your sunk costs are minimal and if a workload or project you are supporting becomes irrelevant, you can quickly spin down your cloud data warehouses and not be “stuck” with unused infrastructure. Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs.

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Announcing the 2021 Data Impact Awards

Cloudera

Use cases could include but are not limited to: workload analysis and replication, migrating or bursting to cloud, data warehouse optimization, and more. Should you find yourself looking for inspiration for your entry, we encourage you to have a look at the incredible work of last year’s data superheroes.

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What Role Does Data Mining Play for Business Intelligence?

Jet Global

The path to doing so begins with the quality and volume of data they are able to collect. Toiling Away in the Data Mines. If data is the fuel driving opportunities for optimization, data mining is the engine—converting that raw fuel into forward motion for your business.

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Week in the Life of an Analyst at Gartner US IT Symposium (virtual) 2021

Andrew White

Manufacturer (process or discrete) 8. Lakehouse (data warehouse and data lake working together) 8. Data Literacy, training, coordination, collaboration 8. Data Management Infrastructure/Data Fabric 5. Data Integration tactics 4. Metadata Strategy 3. Financial Services 4. Healthcare 4.

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Exploring real-time streaming for generative AI Applications

AWS Big Data

You can find similar use cases in other industries such as retail, car manufacturing, energy, and the financial industry. In this post, we discuss why data streaming is a crucial component of generative AI applications due to its real-time nature. versions).