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Enterprise data preparation company Paxata Inc. is focusing on speed of access with the latest release of its flagship Adaptive Information Platform.
The company said the Spring ’18 release of its platform enables business consumers to prepare their data for analysis faster while ensuring its reliability. As a result, the updates pave the way for new use cases with Paxata’s platform, including “internet of things” deployments and other large transaction volumes.
Paxata’s Adaptive Information Platform is designed for business users with no knowledge of, say, the Apache Spark or Hadoop big-data frameworks to use these tools and gain insights from their data via a graphical user interface. It brings together multistructured data from diverse sources, prepares that data for analysis and adds additional related data to provide more context. The platform also contains rapid data profiling capabilities that ensure the data isn’t broken or corrupted in any way, and can be relied upon.
Paxata co-founder and Chief Product Officer Nenshad Bardoliwalla emphasized the speed of the platform during an interview on theCUBE, SiliconANGLE’s mobile livestreaming studio, at last year’s BigData NYC event. He explained that users can simply point and click on a hundred million rows of data and get an instantaneous response.
“Our whole approach is to smash the batch paradigm and actually bring as much into the interactive world as possible,” Bardoliwalla said.
With today’s update, Paxata is speeding up its platform further with the addition of Spark-based data ingestion capabilities. That helps companies leverage the SparkSQL module for structured data processing to provide more information about the structure of both the data and the computation being performed. This is a big deal because it opens up Paxata’s platform for additional data-intensive use cases such as IoT deployments, the company said.
“With our latest innovations, customers are now dramatically expanding the number of use cases to accelerate their time to decision-ready information, working on significantly larger volumes of data,” Bardoliwalla said in a prepared statement.
The Paxata Spring ’18 release also adds one-click data profiling, allowing users to create detailed data quality scorecards in a single click, which in turn helps them ascertain the reliability of the data they’re using. In addition, the platform has gained new multitenancy capabilities that enable easier access to data stored in hybrid cloud environments.
Here’s Bardoliwalla’s full interview from last October’s BigData NYC event:
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