Every day people, processes and machines generate more than two exabytes (that’s two billion billion bytes) of new data. Most of it is unstructured and unrelated, creating a data flow that is hard or nearly impossible to manage quickly and analyze accurately with traditional tools. More>>
Articles
When building Hadoop data lakes, don’t plunge in without a plan
Enterprise data architecture strategy and the big data lake
Syncsort open-sources Spark connector for mainframes
The keys to Big Data security
Data security is one of the largest issues many industries face today. When you are deploying Big Data on networks, it can become problematic trying to protect information throughout the chain. HP Security Voltage provides data-centric protection to ensure that you are guarding your business intelligence and customers’ private information.More>>
How to Future Proof Your Data Lake Six Critical Considerations
Uncovering the Truth about Six Big Data Security Analytics Myths
Big data, big challenges: Hadoop in the enterprise
Untangling Big Data for Digital Marketing
How Hadoop Keeps Even Small Businesses In the Loop for Big Data Analytics
Hadoop is a software system developed by Apache that allows a company’s data science team to process for analytical purposes large sets of data that are located on distributed servers. The software framework is mainly used by those companies that want the capability of extracting unstructured data to improve