Name: Episode 3: Data Lakes – Part 2 by TeK Talk in Data Lake
Duration: 17 min 11 s
Description: Episode 3 of TeK Talk is the second part of a two-part series on Data Lakes. Harj Dhillon, Akshay Goel, and Sharad Kumar, all senior data and analytics professionals, discuss how to go about creating a data lake, the difference between a Hadoop instance and a true data lake, security concerns, the future of agility in the cloud, and a marketplace user experience.

Data Lake

O’Reilly’s Mac Slocum talks with Edd Dumbbell, VP of strategy at Silicon Valley Data Science, about the data lake, the opportunities the model presents, and the driving forces behind the concept. In the second segment, O’Reilly’s big data guru Ben Lorica chats with Rajiv Maheswaran, CEO of SecondSpectrum, about spatial-temporal pattern recognition — what Maheswaran calls “the science of moving dots.”

The data lake model is a powerhouse for invention

Episode 3 of TeK Talk is the second part of a two-part series on Data Lakes. Harj Dhillon, Akshay Goel, and Sharad Kumar, all senior data and analytics professionals, discuss how to go about creating a data lake, the difference between a Hadoop instance and a true data lake, security concerns, the future of agility in the cloud, and a marketplace user experience.

Kimberly Booth's Album

Episode 3: Data Lakes – Part 2

Building a Data Lake in AWS - Mick Bass and Carla Cole - 47Lining

In this podcast episode, O’Reilly’s Shannon Cutt talks with Damon Feldman, solutions director at MarkLogic, a company that has developed an operational and transactional NoSQL database that integrates data silos to give customers a single view of their data. They discuss data lakes, data hubs, integrating data in a lake format, data governance related to security, and more.

Damon Feldman on Combining a Data Hub and Data Lake

In this episode of the O’Reilly podcast, I speak with Han Yang, senior product manager at Cisco, working on analytics solutions. We discuss the impact of data analytics across industries, building data lifecycles for Internet of Things (IoT) applications, and advice for establishing successful analytics and machine learning projects.

Building Data Lifecycles for IoT Projects With Edge Analytics

In this podcast, Wayne Eckerson and James Serra discuss myths of modern data management. Some of the myths discussed include 'all you need is a data lake', 'the data warehouse is dead', 'we don’t need OLAP cubes anymore', 'cloud is too expensive and latency is too slow', 'you should always use a NoSQL product over a RDBMS.'

Serra is big data and data warehousing solutions architect at Microsoft with over thirty years of IT experience. He is a popular blogger and speaker and has presented at dozens of Microsoft PASS and other events. Prior to Microsoft, Serra was an independent data warehousing and business intelligence architect and developer.

James Serra: Myths of Modern Data Management

TeK Talk, sponsored by Knowledgent, features data and analytics professionals discussing the latest trends and topics in data and analytics for Fortune 1,000 companies. For more information, visit knowledgent.com.