"Big data" encompasses rapidly growing structured data in corporate databases and data warehouses as well as a wide range of semi-structured data (such as web server logs and sensor logs) and unstructured data (including documents, email, and image files). Today's enterprise IT staff is tasked with managing this data in a way that maximizes its business value. A critical aspect of this is task is big data integration. Big data integration entails bringing together data from a range of source systems into a big data computing platform such as Hadoop, so that it can be mined and analyzed for insights into how the business can operate more effectively and profitably.
Because big data integration by its nature requires interfacing with a variety of source and destination system technologies, some organizations find themselves using multiple data movement tools that apply different processes to different platforms. . But more and more businesses are turning to a better solution: Attunity Replicate. Attunity Replicate is an enterprise data integration platform that makes it easy to create and run big data ingestion processes without any need for manual coding or deep technical knowledge of the source or destination system interfaces. As a single unified solution for big data integration, Replicate saves money and speeds time-to-value for big data initiatives by reducing dependence on ETL programmers and by simplifying the administrative aspects of big data integration.
Attunity Replicate delivers the industry's broadest coverage for big data integration from diverse source systems. With Attunity you can ingest data from nearly any type of source including:
Attunity Replicate is as universal on the destination side as it is on the source side, making it fast and easy to load bulk and real-time data into big data targets including:
For real-time data integration in big data environments, Attunity supports data streaming through Apache Kafka. With Attunity's native support for change data capture and Kafka-compliant message encoding, you can easily configure, execute and monitor Kafka streams to NoSQL systems such as Cassandra or MongoDB.