Hadoop



Apache Hadoop is the best-known and most widely used tool for big data analytics. How does its open-source status affect it?

What is the Influence of Open Source on the Apache Hadoop Ecosystem?


Just how difficult is it for a business to adopt Hadoop for big data analysis? Some businesses consider it too difficult and expensive, but...

Is Hadoop Adoption Really Worth It?


Big data is big business. Here are some of the ways it is changing our lives as well as the world around us.

5 Key Areas Where Big Data Is Making a Major Impact


Big data is streaming into businesses at unprecedented rates, and properly harnessing that data can lead businesses in exciting new...

What Core Business Functions Can Benefit From Hadoop?


In TechWise's first episode, Hadoop is discussed with experts from the Bloor Group, GridGain, Actian, Zettaset and DataTorrent, hosted by...

A Deep Dive Into Hadoop - TechWise Episode 1 Transcript


Hadoop is a great way to get the most out of big data, but there are numerous other tools that can work with Hadoop to provide even more...

5 Insights About Big Data (Hadoop) as a Service


Much comes down to the hard skills in coding and math. But successful data scientists also need to be able to speak to business people on...

12 Key Tips for Learning Data Science


In order to really understand big data, you need to understand a bit about Hadoop. Here we'll take a look at the top terms you'll hear in...

The 10 Most Important Hadoop Terms You Need to Know and Understand


When it comes to processing big data, Apache Flink has the ability to process static as well as streaming data, making it a useful...

The Importance of Apache Flink in Processing Streaming Data


SQL and Hadoop are both powerful tools in their own rights, and together, in SQL on Hadoop, their ability to handle big data analysis is...

How Can SQL on Hadoop Help with Big Data Analysis?


It can be difficult to combine data from varying sources, but when some of that data is from external sources, that further complicates...

Hadoop Analytics: Even Harder With External Sources


Hear about some of the keys to managing Hadoop in this Briefing Room Summary with Dez Blanchfield, Robin Bloor and Novetta.

Webcast: Connecting the Dots Within Hadoop


Data from varying sources often must be used in Hadoop, but properly combining those data sources is critical for accurate analytics. One...

Hadoop Analytics: Not So Easy Across Multiple Data Sources


Hadoop is an excellent tool for data analytics, but data must often be collected from varying sources. Using source-agnostic tools can...

Hadoop Analytics: Combining Data Requires a Source-Agnostic Approach


Data theft is an ever-growing problem, but the combination of big data and Hadoop promises to help identify it before it can do any harm.

Discovering Data Theft Using Hadoop and Big Data


The Open Data Platform has the potential to change the way that big data is processed, but many do not understand it or how it can work...

What Is the Open Data Platform and What Is its Relation to Hadoop?


Fraud is the leading cause of financial loss in the banking industry. However, the combination of Hadoop with machine learning has the...

Machine Learning & Hadoop in Next-Generation Fraud Detection


While Hadoop has been invaluable for handling big data, its first implementation does have some limitations. However, YARN tackles these...

What are the Advantages of the Hadoop 2.0 (YARN) Framework?


Big data is empowering companies of all sizes to make better decisions for their customers. Check out the top stories about big data this...