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Accelerate Offloading to Cloudera Data Warehouse (CDW) with Procedural SQL Support

Cloudera

Did you know Cloudera customers, such as SMG and Geisinger , offloaded their legacy DW environment to Cloudera Data Warehouse (CDW) to take advantage of CDW’s modern architecture and best-in-class performance? The Data Warehouse on Cloudera Data Platform provides easy to use self-service and advanced analytics use cases at scale.

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Democratizing Data Streaming with Striim Developer

Striim

If you’d like to get an overview from a data streaming expert first, request a demo here. With Striim Developer , we’ve opened up the core pieces as a free service to stream up to 10 million events per month with an unlimited number of Streaming SQL queries.

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Easier Stream Processing On Kafka With ksqlDB

Data Engineering Podcast

Your team will get the most complete, accurate and ready-to-use behavioral web and mobile data, delivered into your data warehouse, data lake and real-time streams. Set up a demo and mention you’re a listener for a special offer! Set up a demo and mention you’re a listener for a special offer!

Kafka 100
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12 Times Faster Query Planning With Iceberg Manifest Caching in Impala

Cloudera

Impala can access Hive table metadata fast because HMS is backed by RDBMS, such as mysql or postgresql. To learn more: For more on Iceberg manifest caching configuration in In Cloudera Data Warehouse (CDW), please refer to [link]. It includes a live demo recording of Iceberg capabilities.

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The Good and the Bad of Apache Airflow Pipeline Orchestration

AltexSoft

For production purposes, choose from PostgreSQL 10+, MySQL 8+, and MsSQL. So you can quickly link to many popular databases, cloud services, and other tools — such as MySQL, PostgreSQL, HDFS ( Hadoop distributed file system), Oracle, AWS, Google Cloud, Microsoft Azure, Snowflake, Slack, Tableau , and so on.

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Real-Time Data Transformations with dbt + Rockset

Rockset

Until now, the majority of the world’s data transformations have been performed on top of data warehouses, query engines, and other databases which are optimized for storing lots of data and querying them for analytics occasionally. Collections can also be created from other data sources including data lakes (e.g.

SQL 52
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Data Engineer Learning Path, Career Track & Roadmap for 2023

ProjectPro

Along with this, you will learn how to perform data analysis using GraphX and Neo4j. Apache Zeppelin Demo Big Data Project for Data Analysis : This project is best for beginners exploring big data tools. Below, we mention a few popular databases and the different softwares used for them.