13 Reasons Why System/Data Administrators should do Hadoop Training
Hadoop greatly helps in storing and processing large data sets in a distributed computing environment. Today, the framework is largely adopted in IT solutions and hence the need for Hadoop experts who are trained in the field. Given below are ...
Top 10 Tips for Hadoop Administration for Starters
When "Big Data" is seen to emerge as a problem, Apache Hadoop is expected to evolve as a solution to the same. It is a framework that provides various tools or services in order to process and store the prospects ...
The Many Ways Big Data Is Being Transformed By Salesforce
Big data analytics has been a matter of great interest in businesses, both large and small, in recent years. While earlier big data was thought only in terms of volume alone, its measurement now encompasses velocity and variety too. As ...
Big Data: A Foolproof Solution for DDoS Attacks
Big data technologies bring a lot of advantages for businesses. While this is one side of big data technologies the other side is aloof from demands requiring extreme attention, care, and consistent updating. A distributed denial-of-service (DDoS) attack is one ...
How Big Data and Hadoop Training can Change Your Organization
Information and database management are key skills that are integral to every business. The technological developments have persuaded professionals to keep themselves informed about the latest changes and go with the pace. Tasks like cataloging and tracking Big Data, involve ...
How Software Testers Can Become Better Big Data Professionals?
With the boom in Information technology all around the world the demand for software engineers, developers and testers has increased like never before. But after a certain point of time the technology gets old and the proficiency needs to be ...
Big Data Predictions for 2017
Market research and advisory firm Ovum estimates the big data market will grow from $1.7 billion in 2016 to $9.4 billion by 2020. As the market grows, enterprise challenges are shifting, skills requirements are changing, and the vendor landscape is ...
Big Data Processing With Apache Ignite
Apache Ignite is an in-memory computing platform that can be inserted seamlessly between a user’s application layer and data layer. Apache Ignite loads data from the existing disk-based storage layer into RAM, improving performance by as much as six orders ...
Top 10 Tips for Scaling Hadoop
Data locality is about making sure a big data set is stored near the compute that performs the analytics. For Hadoop, that means managing DataNodes that provide storage for MapReduce to perform adequately. It works effectively, but leads to the ...
5 things you need to know about Hadoop Vs Apache Spark
Listen in on any conversation about big data, and you'll probably hear mention of Hadoop or Apache Spark. Here's a brief look at what they do and how they compare.
1: They do different things. Hadoop and Apache Spark are both ...