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End-to-end development lifecycle for data engineers to build a data integration pipeline using AWS Glue

AWS Big Data

Many AWS customers have integrated their data across multiple data sources using AWS Glue , a serverless data integration service, in order to make data-driven business decisions. Are there recommended approaches to provisioning components for data integration?

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Comparing DynamoDB and MongoDB for Big Data Management

Smart Data Collective

One of the problems companies face is trying to setup a database that will be able to handle the large quantity of data that they need to manage. There are a number of solutions that can help companies manage their databases. They don’t even necessarily need to understand NoSQL to manage their databases.

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Use Apache Iceberg in your data lake with Amazon S3, AWS Glue, and Snowflake

AWS Big Data

Apache Iceberg offers integrations with popular data processing frameworks such as Apache Spark, Apache Flink, Apache Hive, Presto, and more. By adding a metadata layer to data lakes, you get a better user experience, simplified management, and improved performance and reliability on very large datasets.

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

Cloudera

This marks a significant milestone for the platform: according to IDC, today about half of the world’s enterprise production data under management is on-prem. The platform is ready to address the complexities of managing highly sensitive, yet critical, company data while still extracting the most value from its use.

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Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

With changing use cases, customers are looking for ways to not only move new or incremental data to data lakes as transactions, but also to convert existing data based on Apache Parquet to a transactional format. In this post, we show you how you can use the Iceberg add_files procedure for an in-place data upgrade.

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Purely Cosmetic: Downfalls of BI Analytics as a Business Management Solution

Jet Global

On one hand, BI analytic tools can provide a quick, easy-to-understand visual snapshot of what appears to be the bottom line. Corporate Performance Management: Style with Substance. Corporate Performance Management (CPM) solutions are a step far beyond a visual tool. Good analytics exist outside of BI.

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Break data silos and stream your CDC data with Amazon Redshift streaming and Amazon MSK

AWS Big Data

Redshift streaming ingestion provides low latency, high-throughput data ingestion, which enables customers to derive insights in seconds instead of minutes. After that, using materialized-view refresh, you can ingest hundreds of megabytes of data per second. You can create materialized views using SQL statements.