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Top 3 Meaningful Reasons To Learn Hadoop

Top 3 Meaningful Reasons To Learn Hadoop |Big Data

As the requirement for Big Data analytics grows, the demand for Hadoop is expected to rise. According to expert market analysts, the global Hadoop market was expected to take a giant leap from $1.5 billion in 2012 to $8.74 billion in 2016 and even going higher to an approximate figure of $50.2 billion by 2020. 

Considering the above-mentioned facts, even though Hadoop training might be a bit challenging but it is not bereft of its long-term benefits. By completing a Hadoop certification course...

The Perfect Combination - Hadoop and SAP HANA

The Perfect Combination: Hadoop and SAP HANA

SAP-HANA (High-Performance Analytic Appliance) is making its presence felt as a scalable and robust memory column-oriented database management system for providing real-time analytics. Likewise, Hadoop, an open-source technology platform, adequately supports the processing and analysis of large sets of unstructured, semi-structured and structured data for managing massive volumes of varied datasets. The combination of SAP HANA with Hadoop is helping businesses attain and harness the plus...

Impact of Hadoop and Big Data Analytics on Banking and Security

Impact of Hadoop and Big Data Analytics on Banking and Security

Apache Hadoop and Big Data Analytics are being integrated by the Banking and Securities industry (along with a host of other financial organizations) for analyzing strategies linked with their points of sale, transactions, authorizations, and other processes. These and other relevant data points are helping banks identify, take up, and mitigate fraud. For instance, data collated with the help of Hadoop alerts banking authorities when a debit / credit card is stolen, lost, or used with unusual...

Know The importance is ITIL for Business Analysts

How important is ITIL for Business Analysts? | ITSM

Forward-thinking companies are expanding at a faster pace than ever today! The objective is business development, increased success, and lesser costs. Naturally, the percentage of data that a business house or a corporation is expected to manage today is also increasing phenomenally, thereby giving rise to various management challenges for IT executives and managers. The ITIL (IT Infrastructure Library) Management practices prove useful in addressing such challenges efficiently. It blends in...

Big Data Top Trends In 2015

Big Data Top Trends In 2015 | Big Data

Big Data is moving ahead with great strides in 2015 and is being used and represented across companies globally. The adoption rate of this revolutionary innovation has grown tremendously to increase its importance as a business function that’s reliable, secure and worthy of providing great value to customers. Here, we take stock of some major Big Data trends that are impacting the world of data in 2015. Read on for more.

Simple Interfaces for Non-Data Scientists

As more and more organizations...

Big Data Best Practice Check List For SMEs

Big Data Best Practice Check List For Small And Medium Enterprises

Today, Big Data applications are radically transforming the ways in which small and medium enterprises are competing with each other. Because of their impact, it has become essential for companies to know the right ways of implementing Big Data tools and analytics –and from the very beginning too. These Big Data best practices are indispensible in enhancing the ongoing efforts of SMEs and help them move ahead with their smaller margin of error and budgets alike. Here’s a checklist that needs...

Top Differences between Hadoop 1.0 & Hadoop 2.0

Top Differences between Hadoop1.0 & Hadoop 2.0

Early adopters of the Hadoop ecosystem were restricted to processing models that were MapReduce-based only. Hadoop 2 has brought with it effective processing models that lend themselves to many Big Data uses, including interactive SQL queries over big data, analysis of Big Data scale graphs, and scalable machine learning abilities. The evolution of Hadoop 1's limited processing model, comprising various batch-oriented MapReduce tasks, to the more specialized and interactive hard-core models of...

How Big Data Is Creating Big Wonders For Organizations

How Big Data Is Creating Big Wonders For Organizations | Big Data

As per a recent study by Accenture Analytics, enterprises that are starting upon and completing their Big Data projects successfully are noting significant value and many practical results from their operations. On the other hand, those standing on the sidelines are finding themselves in a position to be left behind. From innovative market development techniques to new revenue generation, Big data tools and analytics are delivering massive business outcomes for a wide range of strategic...

5 Tips For Turning Big Data To Big Success

5 Tips For Turning Big Data To Big Success | Big Data

From travel to media, marketing, telecom, and more, investments in Big Data are impacting the current business scenario dramatically—and in more ways than one. With Fortune 500 companies and other organizations jumping into the fray, it has now become important to understand Big Data trends. Yes, there’s an urgent need to master these trends for bigger success across different industry verticals. Globally, chief information officers (CIOs) and chief marketing officers (CMOs) are now facing...