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Reduce time and effort by quickly and easily finding and processing data in Hadoop.
Traditionally, a small number of data scientists and engineers have been engaged
in the process of exploration, preparation, analysis, and reporting of Hadoop data.
These Hadoop “pioneers” used open source tools from the ecosystem and information
about the data and processes was shared through tribal knowledge.
The recent explosion of new data sources, big data, data formats and applications
in the Hadoop data lake make traditional approaches unsustainable. New users and
entire departments want complete access to the data in the Hadoop data lake. The
new users are often dealing with productivity challenges by recreating redundant
jobs or worse - not engaging in the environment altogether because it is too complex.
Meanwhile, executives begin to hear rumblings that the “data lake” is becoming a
“data swamp,” and not delivering the value to the larger organization that was originally
Accelerate Time to Value in the Hadoop Data Lake
According to Forrester “we live in a world where it is no longer about first to
market; we have to be about first to value.” Value acceleration in the Hadoop data
lake demands new levels of user productivity including fast and easy data acquisition,
faster data processing and better visibility of all data and processes. Teradata
Loom provides the following unique capabilities:
Democratize Accessibility and Data Understanding
It’s no longer acceptable to reinvent the wheel with each new project in Hadoop.
When you use Teradata Loom, you will be able to accelerate initiatives by providing
users with the ability to quickly find the data and files they need, with a full
understanding of context from source to all transformations that others have created
in order to save you time from searching or recreating.
Automated Hadoop Metadata Management
Changes occur rapidly in large Hadoop environments, from new files being loaded
to new transformed files being generated. With the Teradata Loom ActiveScan feature,
you eliminate manual effort associated with finding these changes through the automatic
collection of data lineage and statistics for all data in the cluster.
Simplify Hadoop Data Preparation with Data Wrangling
Most users don’t have data in the format they need and must perform their own data
preparation. Rather than using low-level programming languages that require lengthy
coding, and excludes analysts without such skills, with Teradata Loom, users can
quickly do data preparation and transformations in an easy-to-use, self-service
No more IT requests or the need for special skills to access or transform data.
Teradata Loom is built on a collaborative platform and offers a browser based intuitive
user interface. Any end user in the organization can maintain and manage the data
throughout its lifecycle—from automated scanning, metadata generation and management,
data lineage and data preparation stages. Users can browse and search for data based
on multiple criteria.
Download: Data Preparation in the Hadoop Data Lake (White Paper)
Supported Data Platforms
Teradata Loom® is compatible and is certified on the following Hadoop based data
platforms in the market today. Please note that this is not an exhaustive list.
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Control Hadoop before it turns into a data swamp. Watch video.
How To Radically Improve Productivity in the Hadoop Data Lake.
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