Remove sql-analytics-at-scale-selecting-the-right-sql-engine-for-the-right-job
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Run interactive workloads on Amazon EMR Serverless from Amazon EMR Studio

AWS Big Data

Starting from release 6.14, Amazon EMR Studio supports interactive analytics on Amazon EMR Serverless. EMR Studio is an integrated development environment (IDE) that makes it straightforward for data scientists and data engineers to develop, visualize, and debug analytics applications written in PySpark, Python, and Scala.

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Streaming Ingestion for Apache Iceberg With Cloudera Stream Processing

Cloudera

Recently, we announced enhanced multi-function analytics support in Cloudera Data Platform (CDP) with Apache Iceberg. Iceberg is a high-performance open table format for huge analytic data sets. This enables you to maximize utilization of streaming data at scale. Currently, Iceberg support in CSP is in technical preview mode.

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Migrate your existing SQL-based ETL workload to an AWS serverless ETL infrastructure using AWS Glue

AWS Big Data

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand.

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Harnessing Streaming Data: Insights at the Speed of Life

Sisense

Streaming data analytics is expected to grow into a $38.6 As real-time analytics and machine learning stream processing are growing rapidly, they introduce a new set of technological and conceptual challenges. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations.

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One Big Cluster Stuck: The Right Tool for the Right Job

Cloudera

Over time, using the wrong tool for the job can wreak havoc on environmental health. Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. Over time, those practices lead to cluster and Impala instability.

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Scale AWS Glue jobs by optimizing IP address consumption and expanding network capacity using a private NAT gateway

AWS Big Data

For data engineering workloads when AWS Glue is used in such a constrained network configuration, your team may sometimes face hurdles running many jobs simultaneously. When an AWS Glue job runs in your VPC, the job creates an ENI inside the configured VPC for each data connection, and that ENI uses an IP address in the specified VPC.

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

AWS Big Data

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. It adds tables to compute engines including Spark, Trino, PrestoDB, Flink, and Hive using a high-performance table format that works just like a SQL table.

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