Remove 2012 Remove Data Lake Remove Interactive Remove Optimization
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Run Spark SQL on Amazon Athena Spark

AWS Big Data

For interactive applications, Athena Spark allows you to spend less time waiting and be more productive, with application startup time in under a second. Running SQL on data lakes is fast, and Athena provides an optimized, Trino- and Presto-compatible API that includes a powerful optimizer.

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Simplify and speed up Apache Spark applications on Amazon Redshift data with Amazon Redshift integration for Apache Spark

AWS Big Data

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML). enableHiveSupport().getOrCreate()

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Accelerate HiveQL with Oozie to Spark SQL migration on Amazon EMR

AWS Big Data

Customers now want to migrate their Apache Hive workloads to Apache Spark in the cloud to get the benefits of optimized runtime, cost reduction through transient clusters, better scalability by decoupling the storage and compute, and flexibility. To configure AWS CLI interaction with AWS, refer to Quick setup. X Python 3.8

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Generate security insights from Amazon Security Lake data using Amazon OpenSearch Ingestion

AWS Big Data

Amazon Security Lake centralizes access and management of your security data by aggregating security event logs from AWS environments, other cloud providers, on premise infrastructure, and other software as a service (SaaS) solutions. Optionally, specify the Amazon S3 storage class for the data in Amazon Security Lake.

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Periscope Data Expands to Israel, Empowering Data Teams with Powerful Tools

Sisense

We hosted over 150 people from more than 100 companies, who gathered to learn why data can supercharge their companies and how harnessing the huge power of data can take business from startup to unicorn. The company has integrated data analysis throughout its organization to power decision making. A true unicorn.

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Q&A with Greg Rahn – The changing Data Warehouse market

Cloudera

And so I actually transitioned out of that group and into the Big Data Appliance group at Oracle, but soon realized that if that was what I wanted to keep doing, this up and coming company called Cloudera might be a better place to do it since these new technologies weren’t just a hobby at Cloudera. As you mentioned, Qlik is in there.