How to combine data from MySQL with Cloudera Impala

Pipes allows you to quickly Integrate MySQL with Cloudera Impala data for a combined analysis.
Load data from MySQL and Cloudera Impala into your central data warehouse to analyze it with the business intelligence tool of your choice.
Pipes allows you to connect to MySQL, Cloudera Impala, and more than 200 other APIs, web services, and databases with ready-to-use data connectors. Automate your data workflows through data pipelines without a single line of code.
1

Connect your data warehouse

It will be the destination of all data pipelines you build. Pipes supports relational databases in the cloud and on-premises.
2

Connect to MySQL and Cloudera Impala

You just need to enter the associated credentials to allow Pipes access to the MySQL API and the Cloudera Impala API.
3

Combine data from MySQL and Cloudera Impala

Pipes lets you select the data from MySQL and Cloudera Impala that you want to load to your data warehouse. These data pipelines will run automatically on your defined schedule!

About MySQL

MySQL is a widely acclaimed open-source RDBMS (relational database management system), integral to modern web services and applications. Known for its performance, reliability, and ease of use, MySQL supports diverse workloads from enterprise applications to large-scale web infrastructures. Governed by Oracle Corporation, it offers the community-developed MySQL Community Server and the feature-enhanced MySQL Enterprise Edition, catering to varied user needs. As the backbone for websites and services worldwide, MySQL continually evolves, embracing the latest technological trends to empower developers and enterprises with efficient, scalable database solutions. Our MySQL data connector enables you to automatically retrieve data from your MySQL database as well as write data into it. Find more information about our MySQL connector in the dedicated connector documentation.

About Cloudera Impala

Cloudera Impala is an open-source massively parallel processing (MPP) SQL query engine for data running Apache Hadoop stored in computer clusters. This ways Impala brings scalable parallel database technology to Hadoop, enabling users to issue low-latency SQL queries to data stored in HDFS and Apache HBase without requiring data movement or transformation.

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.