Comparative Analysis of Big Data Analytical Tools – Hive, Tez, Impala, SparkSQL & PrestoDB running on the Google Cloud

Comparative Analysis of Big Data Analytical Tools – Hive, Tez, Impala, SparkSQL & PrestoDB running on the Google Cloud

Big Data analytics is the answer for businesses to glean insights from data to take timely actions. Businesses now have a plethora of technologies at their disposal to perform such ...

Crime Analytics & Predictions System – Presentation at PASS BA VC

Crime Analytics & Predictions System – Presentation at PASS BA VC

The PASS Business Analytics Chapter provides virtual training on the tools and architecture patterns required to create world-class Business Analytics solutions. It was a pleasure ...

AbsolutData Introduces First ‘Decision Engineering’ Product – Navik Converter

AbsolutData Introduces First ‘Decision Engineering’ Product – Navik Converter

Absolutdata recently launched released the NAVIK Converter, a product that helps Software-as-a-Service (SaaS) companies turn free and trial users into paid subscribers. NAVIK Conve ...

Comparative Analysis of Big Data Analytical Tools – Hive, Tez, Impala, SparkSQL & PrestoDB running on the Google Cloud

Big Data analytics is the answer for businesses to glean insights from data to take timely actions. Businesses now have a plethora of technologies at their disposal to perform such Big Data analytics. This live webinar performs a comparative analysis of the various Big Data analytical tools available today. All the tools would be running off nodes from the Google Cloud Platform. AGENDA 10 mnts – Introductio ...

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The Data Lake Dream – Forbes

Where is big data heading? In 2013, I spent a lot of time talking about Hadoop’s development towards being a central destination for data. Hadoop may enter an organization for a specific use case, but data attracts data. Once in the door, Hadoop tends to become a center of gravity. This effect is amplified by the appeal of big data being not just about the data size, but the agility it brings to an organiza ...

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Putting Apache Kafka To Use: A Practical Guide to Building a Stream Data Platform (Part 2) | Confluent

This is the second part of our guide on streaming data and Apache Kafka. In part one I talked about the uses for real-time data streams and explained our idea of a stream data platform. The remainder of this guide will contain specific advice on how to go about building a stream data platform in your organization. This advice is drawn from our experience building and implementing Kafka at LinkedIn and rolli ...

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Forget Big Data — Small Data Is Driving The Internet Of Things – Forbes

When people talk about the Internet of Things (IoT) they tend to think about big data technologies like Hadoop where petabyte size datasets are stored and analyzed for both known and unknown patterns. What many people don’t realize is that many IoT use cases only require small datasets. What is small data, you ask? Small data is a dataset that contains very specific attributes. Small data is used to determi ...

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Crime Analytics & Predictions System – Presentation at PASS BA VC

The PASS Business Analytics Chapter provides virtual training on the tools and architecture patterns required to create world-class Business Analytics solutions. It was a pleasure to present today at the PASS Business Analytics Virtual Community about the "Crime Analytics & Predictions System". There were more than 240 signups and more than 100 attendees. The audience asked very relevant questions and s ...

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Google’s Large Scale Deep Neural Networks Project, Greg Corrado | Techjaw

After leaving IBM Research where he worked on the SyNAPSE neuromorphic silicon chip, Greg Corrado became one of the founding members and the Co-technical Lead of Google’s Large Scale Deep Neural Networks Project. He is now Senior Research Scientist at Google and in this talk gives some insight into the project. Corrado has also undertaken extensive research in artificial intelligence, computational neurosci ...

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Hadoop HBase 1.0 debuts amid stiff NoSQL competition | InfoWorld

Corks popped earlier this week in the halls of the Apache Foundation, as its Apache HBase project finally reached 1.0 status after more than four years of work. HBase, sometimes called "the Hadoop database," is a distributed, column-oriented key-value store along the lines of Cassandra. Databases consisting of billions of rows and columns can be stored in HBase and retrieved via conventional SQL queries, an ...

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Flash Survey Results: Big Data Professionals Contacted More than Ever Before – Burtch Works

About 18 months ago (in August 2013) we conducted a “flash survey” of our network of over 10,000 analytics professionals and data scientists to determine how often they were approached by recruiters on LinkedIn, and how often they responded to recruiters’ requests. The results, while interesting, also hinted at a larger problem within “Big Data recruiting”: skilled quantitative professionals are being hapha ...

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Tuning and Debugging Apache Spark – YouTube

This talk gives details about Spark internals and an explanation of the runtime behavior of a Spark application. It explains how high level user programs are compiled into physical execution plans in Spark. It then reviews common performance bottlenecks encountered by Spark users, along with tips for diagnosing performance problems in a production application. ...

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The Log: What every software engineer should know about real-time data’s unifying abstraction | LinkedIn Engineering

I joined LinkedIn about six years ago at a particularly interesting time. We were just beginning to run up against the limits of our monolithic, centralized database and needed to start the transition to a portfolio of specialized distributed systems. This has been an interesting experience: we built, deployed, and run to this day a distributed graph database, a distributed search backend, a Hadoop installa ...

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