Strata Hadoop World NY 2016 has following interestinig talks in its Security sessions
A practitioner’s guide to securing your Hadoop cluster by Michael Yoder and Ben Spivey and Mark Donsky and Mubashir Kazia
Many Hadoop clusters lack even basic security controls. Michael Yoder, Ben Spivey, Mark Donsky, and Mubashir Kazia walk you through securing a Hadoop cluster. You'll start with a cluster ...
Strata Hadoop World NY 2016 has following interestinig talks in its Data-driven business sessions
Data 101 introduces you to core principles of data architecture, teaches you how to build and manage successful data teams, and inspires you to do more with your data through real-world applications. Setting the foundation for deeper dives on the following days of Strata + Hadoop World, ...
Strata Hadoop World NY 2016 has following interestinig talks in its Law, ethics, governance sessions
Big data, big decisions: Key legal considerations for the collection and use of big data by Kristi Wolff and Crystal Skelton
Companies making data-driven decisions must consider critical legal obligations that may apply to the collection and use of data. Failing to do so has landed many tech ...
Strata Hadoop World NY 2016 had following interestinig talks in its Enterprise adoption sessions
Deploying and managing Hive, Spark, and Impala in the public cloud by Andrei Savu and Vinithra Varadharajan and Jennifer Wu and Matthew Jacobs
Public cloud usage for Hadoop workloads is accelerating. Consequently, Hadoop components have adapted to leverage cloud infrastructure. Andrei Savu, ...
Strata Hadoop World NY 2016 had following interestinig talks in its Hadoop use cases sessions
Hadoop application architectures: Architecting a next-generation data platform for real-time ETL, data analytics, and data warehousing by Jonathan Seidman and Mark Grover and Ted Malaska
Jonathan Seidman, Gwen Shapira, Mark Grover, and Ted Malaska demonstrate how to architect a modern, real-time big ...
Strata Hadoop World NY 2016 had following interestinig talks in its Data science & advanced analytics track.
R for big data by Garrett Grolemund and Nathan Stephens
Garrett Grolemund and Nathan Stephens explore the new sparklyr package by RStudio, which provides a familiar interface between the R language and Apache Spark and communicates with the Spark SQL and the Spark ML APIs so R users ...
Strata Hadoop World NY 2016 has following interestinig talks in its Spark & beyond sessions
Building machine-learning apps with Spark: MLlib, ML Pipelines, and GraphX by Vartika Singh and Jayant Shekhar
Vartika Singh and Jayant Shekhar walk you through techniques for building and tuning machine-learning apps using Spark MLlib and Spark ML Pipelines and graph processing with GraphX.
Strata Hadoop World NY 2016 has following interestinig talks in its IoT & real-time sessions
Learn stream processing with Apache Beam by Tyler Akidau and Jesse Anderson
Come learn the basics of stream processing via a guided walkthrough of the most sophisticated and portable stream processing model on the planet—Apache Beam (incubating). Tyler Akidau and Jesse Anderson cover the basics of ...
Strata Hadoop World NY 2016 had following interestinig talks in its Hadoop internals & development sessions.
Tuning Impala: The top five performance optimizations for the best BI and SQL analytics on Hadoop by Marcel Kornacker and Mostafa Mokhtar
Performance tuning your SQL-on-Hadoop deployment may seem overwhelming at times, especially for BI workloads that need interactive response times ...
Over last few years, hadoop and its associated ecosystem has gained a large foothold in enterprise market as well in startups involved in disruptive opportunities. Here is a hadoop wiki containing list of useful resources, tools and learning link to help you.
Hadoop Wiki - Hadoop Tutorials