Planning for a Scalable Enterprise Data Lake

tdwi.org

In this webinar we will discuss a more modern view of the data lake and consider best practices for planning and implementing a scalable enterprise data lake. The flaws in early data lakes were often rooted in the expectations of data consumers who put a premium on self-service data analytics. However, with no data governance mechanisms, data lakes quickly became more of a glorified “dumping ground,” “data swamp,” or “beta lake” for organizational data.In recent years, though, some innovations have allowed the data lake to evolve into an agile yet managed environment for accumulating shared data resources that can be optimally used for competitive advantage. Data lakes have evolved beyond the original on-premises concept based solely on Hadoop and now include pretty much any distributed computing platform (Hadoop, Spark, EMR, serverless, etc.) and any storage mechanism (HDFS, S3, ADLS), either on-premises or in the cloud.
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Spotlight

The rapid rise in encrypted traffic is changing the threat landscape. As more businesses become digital, a significant number of services and applications are using encryption as the primary method of securing information. More specifically, encrypted traffic has increased by more than 90 percent year over year, with more than 40 percent of websites encrypting traffic in 2016 versus 21 percent in 2015. Gartner predicts that by 2019, 80 percent of web traffic will be encrypted.

OTHER ON-DEMAND WEBINARS

A Better Alternative: Advanced Analytics and Alternative Data in Consumer Lending

The unsecured personal loan market is hot and growing rapidly. It is also prime testing grounds for the use of alternative sources of data and advanced analytics in marketing and loan decisioning, given the number of traditional and non-traditional lenders competing to meet consumer demand. Join Equifax and Aite Group as we dis
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Data Storytelling With Multiexperiences

Gartner

Discussion Topics: - What is a data story - When and how should data storytelling be used - Which new skills and techniques do you need to create compelling data stories - Which experiences can help tell your story beyond dashboards on a 2D screen
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Choosing the Right Database for Time Series Data

MemSQL

In this webinar, MemSQL Product Marketing Manager Mike Boyarski describes the growth in popularity of time series data and talks about the best options for a time series database, including a live Q&A. You can view the webinar and download the slides here. Here at MemSQL, we’ve had a lot of interest in our blog posts on time series data and choosing a time series database, as well as our O’Reilly time series ebook download. However, this webinar does a particularly good job of explaining what you would want in a time series database, and how that fits with MemSQL. We encourage you to read this blog post, then view the webinar.
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TiVo: How to Scale New Products with a Data Lake on AWS and Qubole

Amazon Web Services

Big data technologies can be both complex and involve time consuming manual processes. Organizations that intelligently automate big data operations lower their costs, make their teams more productive, scale more efficiently, and reduce the risk of failure. In our webinar, representatives from TiVo, creator of a digital recording platform for television content, will explain how they implemented a new big data and analytics platform that dynamically scales in response to changing demand. You’ll learn how the solution enables TiVo to easily orchestrate big data clusters using Amazon Elastic Cloud Compute (Amazon EC2) and Amazon EC2 Spot instances that read data from a data lake on Amazon Simple Storage Service (Amazon S3) and how this reduces the development cost and effort needed to support its network and advertiser users. TiVo will share lessons learned and best practices for quickly and affordably ingesting, processing, and making available for analysis terabytes of streaming and batch viewership data from millions of households.
Watch Now

Spotlight

The rapid rise in encrypted traffic is changing the threat landscape. As more businesses become digital, a significant number of services and applications are using encryption as the primary method of securing information. More specifically, encrypted traffic has increased by more than 90 percent year over year, with more than 40 percent of websites encrypting traffic in 2016 versus 21 percent in 2015. Gartner predicts that by 2019, 80 percent of web traffic will be encrypted.

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