Hadoop



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


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...


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


HDFS and HBase are commonly used to manage storage with Hadoop, but now Kudu is working alongside them with better results.


Most people associate Hadoop with processing big data, but operational Hadoop opens up numerous other possibilities for enterprise use.


Genome sequencing promises almost limitless possibilities in the field of health research, but it's useless if you can't properly collect,...


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...


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


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


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


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


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.


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...


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


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


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


Rapid application development is key to efficiency. Apache Spark is helping developers test their ideas even more quickly and easily than...


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


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