Data Lakes: Managed Ingestion [Video]
Data Lakes: Managed Ingestion [Video]
Check out this video to learn about the variation across data sources and the Hadoop distribution chosen.
Join the DZone community and get the full member experience.
Join For FreeHortonworks Sandbox for HDP and HDF is your chance to get started on learning, developing, testing and trying out new features. Each download comes preconfigured with interactive tutorials, sample data and developments from the Apache community.
The classic method for data ingestion in Hadoop relies on a number of different technologies each with its own configuration and scaling issues. These technologies require expertise to correctly ingest the data and ensure the ingest meets the SLAs of the organization.
The video below shows the variation across data sources and the Hadoop distribution chosen.
Managed ingestion is more than just using scripts to automate the movement of data into your Data Lake. This means not only having a defined repeatable process for data ingest but also having a way to manage the ingestion.
A managed process of ingestion gives you the tooling to programmatically address a consistent process of data movement into your system. In cases where that process has issues, it provides the means for delving into the root cause of the failure.
For more information on managed ingestion and data lakes, visit Data Lake 360° or more from our blog.
Hortonworks Community Connection (HCC) is an online collaboration destination for developers, DevOps, customers and partners to get answers to questions, collaborate on technical articles and share code examples from GitHub. Join the discussion.
Like This Article? Read More From DZone
Published at DZone with permission of Adam Diaz , DZone MVB. See the original article here.
Opinions expressed by DZone contributors are their own.
{{ parent.title || parent.header.title}}
{{ parent.tldr }}
{{ parent.linkDescription }}
{{ parent.urlSource.name }}