Azure Data Lake Store is a hyper-scale repository for big data analytics workloads and a Hadoop Distributed File System (HDFS) for the cloud.
Files can be captured and copied or moved to a different location. CSV and XML files can be processed for a table target. As a target, HVR can write files in multiple formats including Parquet, JSON, Avro, CSV or XML, with many options to fine tune the format and define compression. Compare is supported through Hive external tables, or directly by reading/parsing the files.
How One Fashion Retailer is Modernizing Their e-Business with the Cloud and Real-Time Analytics ASOS is a global online fashion and beauty retailer known amongst young adults for affordable and on-trend clothing. If you aren’t familiar, ASOS is not ...
Three Things to Consider: Microsoft Azure Data Integration Tools Cloud data integration can apply to a variety of use cases: whether it be from various sources into an ADLS data lake, migrating on-premises to the Azure cloud, running real-time analytics ...
Whether you’re moving your data to a data lake or data warehouse, from on-prem to the cloud, we support it.
Contact us to learn more about our API agent plug-in.
Read more from our latest blog posts on best practices and trends in the data replication industry.