With data being produced from many sources in a variety of formats it’s imperative for businesses to have a sane way to gain useful insight. Data integration is the process of transforming data from one or more sources into a form that can be loaded into a target system or used for analysis and business intelligence.
We’re building on a new tool to help you work faster with Data Pipeline.
This new tool is a web app that lets you interactively transform, filter, and prepare data on-the-fly. It also lets you generate Data Pipeline code based on the actions you perform.
ETL is a process for performing data extraction, transformation and loading. The process extracts data from a variety of sources and formats, transforms it into a standard structure, and loads it into a database, file, web service, or other system for analysis, visualization, machine learning, etc.
ETL tools come in a wide variety of shapes. Some run on your desktop or on-premise servers, while others run as SaaS in the cloud. Some are code-based, built on standard programming languages that many developers already know. Others are built on a custom DSL (domain specific language) in an attempt to be more intentional and require less code. Others still are completely graphical, only offering programming interfaces for complex transformations.
What follows is a list of ETL tools for developers already familiar with Java and the JVM (Java Virtual Machine) to clean, validate, filter, and prepare your data for use.