Microsoft Azure HDInsight is a fully managed cloud service that enables organizations to process massive amounts of data more easily, quickly and cost-effectively. HDInsight can be used with open-source frameworks that include Hive, Spark, Kafka, Storm and Hadoop Big Data to support Big Data analytics, ETL, Data Warehousing, IoT, Machine Learning and other leading-edge technology trends.

HDInsight enables organizations to more easily manage the data pipeline while scaling workloads up or down as needed. HD Insight also helps to minimize costs by creating clusters on-demand and paying only for what is used. And by decoupling compute and storage from data processing, HDInsight enables better performance and greater flexibility.

Data Ingestion Challenges for HDInsight

One of the challenges of working with HDInsight is managing data ingestion from hundreds or thousands of sources. When managing an upload to the cloud or to an on-premise data store, administrators can no longer use traditional tools that rely on a complex, time- and resource-intensive ETL process that moves data in batches – the scale of data ingestion with HDInsight is simply too great. The repetitive and error-prone tasks of manual coding and managing individual agents for data ingestion can easily overwhelm an IT staff.

To efficiently manage HDInsight as well as other solutions for Hadoop Big Data, organizations need a superior tool that can accelerate and simplify data ingestion and integration.

Qlik Replicate®: End-to-End Automation for Data Ingestion in HDInsight

Qlik Replicate helps organizations using Microsoft Azure HDInsight to quickly ingest data from heterogeneous sources and to maintain changed data continuously and efficiently.

Qlik Replicate provides:

  • Quick and easy setup of data feeds using a drag-and-drop graphical user interface with a “Click-2-Load” option.
  • High-performance loading of large data sets with optimized integration with HDInsight.
  • Support for the industry’s broadest range of data sources and targets, including all major RDBMS, data warehouses and mainframe systems, as well as Hadoop, Microsoft Azure and Amazon S3 data lake implementations.
  • End-to-end automation of schema generation, metadata changes and transparent data type transformations between source and target databases.
  • Minimal impact on production sources, employing a zero-footprint architecture that does not require agents on source or target databases.
  • A web-based performance dashboard that enables proactive monitoring and control of data delivery servers and tasks.

In addition to HDInsight, Qlik Replicate integrates seamlessly with a broad range of technologies for processing and analyzing Big Data, including Apache Kafka and Apache NiFi.

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