How Does Data Lake Architecture Work?
Since its conception in October 2010 by James Dixon, data lake has undergone a myriad of developments and is now used globally by a lot of firms. To understand how a data lake works or what it can be used ...
The Biggest Challenge of Hadoop Analytics: It’s all about Query Performance
As Big Data gets bigger and more complex, scalability and performance turn out to be major areas of concern for business users. When organizations use SQL on Hadoop for their business intelligence, they often find it difficult to cope up ...
Top 5 Best Online Hadoop Courses that You Can Access
Hadoop is an open-source software framework used for running applications and storing data on clusters of commodity software. Hadoop is based on Java and used by organizations to sort large sets of data. It is, therefore, an important discipline of ...
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 ...
Top Hadoop Terms You Need to Know
Big data is one of the most trending technologies of the decade. If you know big data, you would have heard about Hadoop. But, if you don’t know Hadoop, you have landed on the right page. Here we will cover ...
Business Intelligence Benchmark for SQL-on-Hadoop Engines
AtScale, provider of BI (Business Intelligence) on Hadoop, has released its study titled "The Business Intelligence Benchmark for SQL-on-Hadoop engines," which is a performance test of BI workloads on Hadoop. The report also studies the strengths and weaknesses of Hive, ...
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 ...
Why is Hadoop the Best Platform for Data Management?
Data management including capturing , storing and analyzing data was very expensive and complicated prior to its management by Hadoop. With the entry of Hadoop in the industry, data management became to handy as well as less expensive.
Hadoop’s processing part ...
5 Steps for Securing Your Data In Hadoop
Data security remains a top concern for data professionals. To help organizations put up a best defense, Reiner Kappenberger, senior executive focused on big data and Hadoop at HPE Seecurity-Data Security offers five steps on how to best secure data ...