Live Webinar November 16th, 2017 1:00 PM – 2:00 PM EST
Activity Type: Education – Course or Training  1 Hour  1 PDU free
Provider: O’Reilly

Machine learning helps pinpoint errors in large datasets for cleansing before entering the analytics pipeline. This webcast shows you how to set it up.

Big data brings tremendous opportunity to better target customers and improve operations. Yet, data-driven insights are only as good and trusted as the data going into them.

Find out how you can build data quality into your structured, semi-structured, or unstructured data on Microsoft Azure Data Lake Store and HDInsight using Talend’s native support for Spark machine learning algorithms.

Join Microsoft and Talend to see how to:

• Process data faster using Talend’s native support for Spark on HDInsight
• Quickly import bulk data into Azure Data Lake Store
• Deploy Spark machine learning to match and dedupe records at scale
• Enable best practices for data quality using Talend Data Stewardship

Presenters:

Ashwin Viswanath Director of Product Marketing, Talend Integration Cloud, is tasked with helping drive Talend’s cloud strategy into new cloud ecosystems. Ashwin possesses several years of experience in the areas of data integration, SaaS, big data, and APIs.

Pranav Rastogi (LinkedIn profile) Program Manager  Microsoft Azure, focusses on Azure HDInsight, a managed cloud Apache Hadoop & Spark offering that gives clients optimized open-source analytical clusters for running open source projects. Ppranav spends most of his time making it easier for customers to leverage the big data ecosystem to complete big data solutions to meet their needs.

Click to register for:
How To Use Machine Learning To Scale Data Quality

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