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Java is a programming language that was first released by Sun Microsystems in the year 1995. Most of the websites and application that we come across over the internet in our day to day life is developed using Java programming language. There are other programming languages available in the market, but Java is most widely used by developers, as it is an open-source language, which means that it does not come with a price tag as it can be used by the developers for free of cost. Maybe this is...

Many companies have data sets of hundreds, thousands and even lakhs of GB. That’s a lot of data, but it rarely meets the litmus test for true big data problem. Big data Projects have large, diverse, distributed and mixed data set characteristics:

1. Do you have Perabyte of data?(1048576 GB’s). If “no”, you don’t have a big data problem.

2. Do you really need responses in real time? If “no”, you don’t have a big data problem.

3. Does it take long time to calculate results? (more than 8 hours or...

In this digital age, organizations are taking advantage of digital marketing to reach out to a wide range of consumers across the globe. Digital marketing is helping organizations to reach to the target audience,for whom they have developed the products and wish to sell their products. Digital marketing gives them the flexibility to segregate audiences according to age groups, genders, and interests. Marketing agencies are taking advantage of Big Data and the Internet of Things [IoT], to...

Big Data Analytics—arguably the hottest skill dominating contemporary job markets, serves to be the right career choice for many. Here are 10 more reasons that provide a peep into the big picture. 

Analytics Professionals are in High Demand

With more and more opportunities coming to the fore with regard to Big Data Analytics and management, IT professionals are prepping themselves to invest more time and money in their training for the same. As per Jeanne Harris, linked with Accenture...

Hadoop — the popular data processing framework — becomes all the more useful when better performing components get connected to the same. Certain shortcomings of the Hadoop platform, for instance, the MapReduce component that’s reputed to be slow for effective real-time data analysis, can be handled well by the integration of Apache Spark with Hadoop. This powerful Hadoop-based data processing tool works well with streaming and batch workloads alike. It is outfitted with striking features to...

Apache Hadoop today is the principal force that drives our Big Data market. It was Cloudera’s Chief Architect, Dough Cutting who assisted in developing Apache Hadoop to address the enormous data explosion. Initially influenced by the published Google papers, that presented a useful approach to manage excess data, today Hadoop has become the standard medium or mechanism for processing, storing and evaluating terabytes and petabytes of data. It’s the latest buzzword in the IT landscape that...

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...

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...

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...

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...