[Webcast] Data Management for Big Data, Hadoop, and Data Lakes

When:
May 10, 2017 @ 9:00 am – 10:00 am America/Los Angeles Timezone
2017-05-10T09:00:00-07:00
2017-05-10T10:00:00-07:00
Where:
Online
Cost:
Free

TDWI Speaker: Philip Russom, Senior Research Director for Data Management

Date: Wednesday, May 10, 2017

Time: 9:00 a.m. PT, 12:00 p.m. ET

Webinar Abstract

A perfect storm of data management trends is converging.

First, organizations across many industries are experiencing the big data phenomenon, which forces them to capture and leverage data from new sources, in structures and velocities that are new to them, in unprecedented volumes. Second, technical users are scrambling to learn new data platforms like Hadoop and their evolving best practices. Third, the data lake arose suddenly in 2016 as the preferred approach to managing very large repositories of raw source data. Fourth, business managers have attained a new level of sophistication in their use big data for business value and organizational advantage.

The amount of change that data management professionals face today is daunting. It sounds like a problem, but it’s actually an opportunity to extend existing investments in mature data management infrastructures and portfolios, as well as to embrace new ones that will position the organization for modern data-driven requirements in business, technology, competition, and evolving customer patterns.

This webinar panel brings together a panel of experts, moderated by a TDWI analyst, to cover:

  • Trends in big data, Hadoop, and data lakes
  • The impact of these modern trends on traditional data ecosystems, such as those for data warehousing, multi-channel marketing, web, supply chain, ERP, etc.
  • A business case for embracing the new world order of big data and its management
  • Examples of what successful real-world organizations are doing today
  • On April 19, 2017
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