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 ...

Read more

A Peek Under the Hood of The Connected Car: What It Does & How It Applies to IoT Systems | Pivotal P.O.V.

While technology like the connected car has been hyped for years, the growth for all Internet of Things (IoT) applications across all sectors is growing exponentially. Gartner projects all of these connected things will grow from 4.9 billion in 2015 to 25 billion by 2020, and this includes cars. By looking at connected car functionality and architecture, we can get a better understanding of all IoT platform ...

Read more

Calculating CVA with Apache Spark | Cloudera Engineering Blog

Since the 2007 global financial crisis, financial institutions now more accurately measure the risks of over-the-counter (OTC) products. It is now standard practice for institutions to adjust derivative prices for the risk of the counter-party’s, or one’s own, default by means of credit or debit valuation adjustments (CVA/DVA). Calculating the CVA of a portfolio typically requires Monte-Carlo simulation wit ...

Read more

MWC: Intel Helping Service Providers To Optimize End-To-End IoT Value Chains

IT is in the crosshairs of a major data center architecture transition driven by a phenomenal rise in factors including Internet of Things (IoT), Big Data, and real-time analytics, finding a deeper relevance in the current business landscape. Over the last year, Intel INTC +0.06% developed the concept of software-defined infrastructure (SDI) as the next step in datacenter transformation. One of the main aim ...

Read more

Intel, Databricks Partner on Apache Spark

Intel announced collaborations with Databricks and UC Berkeley's AMPLab to advance the big data processing technology for Intel systems. Databricks, the company founded by the creators of Apache Spark, announced plans to partner with Intel to optimize Spark's real-time analytic capabilities for the Intel architecture. Indeed, Intel is investing in a broad initiative involving Apache Spark and is collaborati ...

Read more

Google, Stanford say big data is key to deep learning for drug discovery | Gigaom

A team of researchers from Stanford University and Google have released a paper highlighting a deep learning approach they say shows promise in the field of drug discovery. What they found, essentially, is that that more data covering more biological processes seems like a good recipe for uncovering new drugs. Importantly, the paper doesn’t claim a major breakthrough that will revolutionize the pharmaceutic ...

Read more

Big Data winners using inline analytics to derive large ROIs from their investment | SiliconANGLE

A recent poll of Wikibon community members revealed that many are implementing initial Big Data systems. The vast majority of these, however, focus on an IT operational expense reduction in which large amounts of older company data is archived out of more expensive database engines into Hadoop. The unstructured data can be added to support deep-dive analytics, often accessible only to a relatively few peopl ...

Read more

Data Monopolists Like Google Are Threatening the Economy – HBR

The White House recently released a report about the danger of big data in our lives. Its main focus was the same old topic of how it can hurt customer privacy. The Federal Trade Commission and National Telecommunications and Information Administration have also expressed concerns about consumer privacy, as have PwC and the Wall Street Journal. However, big data holds many other risks. Chief among these, in ...

Read more

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 ...

Read more

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 ...

Read more

2013 © Big Data Cloud Inc. All Rights Reserved.

Hadoop and the Hadoop elephant logo are trademarks of the Apache Software Foundation.

Scroll to top
UA-18319319-1