All Videos Tagged Data Lake (Data Science Central) - Data Science Central 2019-11-20T12:00:51Z https://www.datasciencecentral.com/video/video/listTagged?tag=Data+Lake&rss=yes&xn_auth=no Multi-genre Advanced Analytics to Optimize your Hadoop Data Lake tag:www.datasciencecentral.com,2016-08-02:6448529:Video:454224 2016-08-02T21:42:14.909Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/multi-genre-advanced-analytics-to-optimize-your-hadoop-data-lake"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781575240?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Hadoop Data Lakes have emerged in recent years in response to organizations looking to economically harness and derive value from exploding data volumes. While most organizations have realized cost savings benefits in the area of data integration optimization and economically archiving data, many continue to be challenged in driving broad… <a href="https://www.datasciencecentral.com/video/multi-genre-advanced-analytics-to-optimize-your-hadoop-data-lake"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781575240?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Hadoop Data Lakes have emerged in recent years in response to organizations looking to economically harness and derive value from exploding data volumes. While most organizations have realized cost savings benefits in the area of data integration optimization and economically archiving data, many continue to be challenged in driving broad enterprise data lake adoption enabling critical business decisions for direct revenue impact. As Hadoop enters its 10th year as platform technology, the industry is at a tipping point where applications built on top of Hadoop data lakes must overcome the necessity of premium coding skills in order to access and analyze the vast amounts of data in the lake.<br /> <br /> Join us for our latest Data Science Central Webinar as we discuss:<br /> <br /> Challenges and opportunity lying in your data lake<br /> Power of multi-genre analytics<br /> Exploring real-world use cases<br /> <br /> Speaker: John Thuma, Big Data &amp; Advanced Analytic Director --Teradata<br /> <br /> Hosted by: Bill Vorhies, Editorial Director -- Data Science Central DSC Webinar Series: Hadoop 2.0: YARN to Further Optimize Data Processing tag:www.datasciencecentral.com,2014-09-16:6448529:Video:205640 2014-09-16T20:49:26.121Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/hadoop-2-0-yarn-to-further-optimize-data-processing"><br /> <img alt="Thumbnail" height="180" src="https://storage.ning.com/topology/rest/1.0/file/get/2781527185?profile=original&amp;width=240&amp;height=180" width="240"></img><br /> </a> <br></br>Data is exponentially increasing in both types and volumes, creating opportunities for businesses. To fully realize the potential of this new data, analysts recommend the shift from a single platform to a data ecosystem. Multiple systems are needed to exploit the variety and volume of data sources. A flexible data repository such as a data lake is… <a href="https://www.datasciencecentral.com/video/hadoop-2-0-yarn-to-further-optimize-data-processing"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781527185?profile=original&amp;width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />Data is exponentially increasing in both types and volumes, creating opportunities for businesses. To fully realize the potential of this new data, analysts recommend the shift from a single platform to a data ecosystem. Multiple systems are needed to exploit the variety and volume of data sources. A flexible data repository such as a data lake is needed to store the data. Technologically speaking Apache Hadoop 2 enables true data lake architectures. The introduction of YARN in particular added a pluggable framework that enabled new data access patterns in addition to MapReduce. An intelligent data management layer is needed to manage metadata and usage patterns as well as track consumption across these data platforms.<br /> <br /> Join us in this webinar as our panel of experts discusses how Hadoop can be used alongside the Enterprise Data Warehouse and with Data Integration tools to enable the optimization of data processing workloads for more efficient use of resources