In the enterprise data analytics arena, the traditional enterprise data warehouse has a new and powerful counterpart: the data warehouse powered by Hadoop. Sometimes called a "data lake", a data warehouse Hadoop system has advantages that make it a compelling complement or alternative to the conventional data warehouse, including the ability to aggregate and analyze a greater volume and variety of data and to do so at a lower cost than conventional data warehouse technologies. Along with these rewards come challenges around Hadoop data ingestion and management of the data warehouse Hadoop system. Many leading companies have turned to Qlik (Attunity) software to meet these data warehouse Hadoop challenges.
Qlik (Attunity) is a long-time leader in the enterprise data management space, always pushing the envelope to redefine answers to core questions like what is data replication and integration in the modern enterprise. For the more than 2000 Qlik (Attunity) customers worldwide, modern data integration is increasingly focused on big data ingestion into data warehouse Hadoop environments to power analytics and business intelligence.
As a solution for migrating data into a data warehouse Hadoop platform, Qlik Replicate (formerly Attunity Replicate) is:
The large volume and variety of data in a typical data warehouse Hadoop environment poses challenges for operational control, governance, and capacity management. That's why organizations often pair the Qlik Replicate (formerly Attunity Replicate) Hadoop data integration tool with Qlik Visibility (formerly Attunity Visibility) software for data usage analytics. With Qlik Visibility (formerly Attunity Visibility), Hadoop operations staff can maintain real-time insight into: