Big Data Analytics Interview Questions and Answers from Real Interview

Over last few years, Big data analytics has become an important part of large organizations and businesses moving over to data driven strategies. Along with, there has been a quite an increase in demand of big data analytics professionals and at the start of 2017, big data analytics jobs are some of the best paid jobs in the market.

Big Data Analytics Interview Questions

Big data Analytics ...

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What is Big Data?

There is quite a lot of buzz around Big Data now-a-days. Lot of people don't understand what it means. Big data is an emerging field and it describe the availability of large volume of data and its associated tools to derive insights from this data.

We are living in a digital world already. This huge amount of data is a gold-mine for all sort of companies - allowing strategies that were ...

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Strata Hadoop World NY 2016 - Data Innovations Track

Strata Hadoop World NY 2016 has following interestinig talks in its Data Innovations Track.

Parallel SQL and analytics with Solr by Yonik Seeley

Yonik Seeley explores recent Apache Solr features in the areas of faceting and analytics, including parallel SQL, streaming expressions, distributed join, and distributed graph queries, as well as the trade-offs of different approaches and strategies...

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Strata Hadoop World NY 2016 - Security Track

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 ...

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Strata Hadoop World NY 2016 - Data-driven business Track

Strata Hadoop World NY 2016 has following interestinig talks in its Data-driven business sessions

Data 101

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, ...

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Strata Hadoop World NY 2016 - Law, ethics, governance Track

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 ...

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Strata Hadoop World NY 2016 - Enterprise adoption Track

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, ...

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Strata Hadoop World NY 2016 - Hadoop use cases Track

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 ...

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Strata Hadoop World NY 2016 - Data science & advanced analytics

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 ...

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Strata Hadoop World NY 2016 - Spark & beyond Track

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.

Spark ...

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