From the beginning of the Hadoop’s history, MapReduce has been the complete game changer in town when it comes to deal with data processing.
When we are choosing storage options, consider the impact of using commodity drives rather than more expensive enterprise-quality drives.
Commercially available distributions of Hadoop offer different combinations of open source components from the Apache Software Foundation and from several other places
A number of companies offer tools designed to help you get the most out of your Hadoop implementation. Here’s a sampling:
First of all, let’s just clarify about what do we meant by saying “key-value” pairs by understanding similar concepts in the Java standard API.
There are several other open source components that are typically seen in a Hadoop deployment.
HDFS is a file system unlike most of us may have encountered before. It is not a POSIX compliant file system, which basically means it does not provide the same guarantees as a regular file system.
Fraud is a major concern across all industries. Just name the industry (banking, insurance, government, health care, or retail, for example) and we will find fraud. At the same time.
Software Industry is full of buzzwords; it’s always a dilemma to know the clear meaning of “big data”.
Deploying a scale-out solution has required significant engineering effort; the system developer often needs to handcraft the mechanisms for data partitioning .
Look around at the technology we have today, and it's easy to come to the conclusion that it's all about data. Organizations are flooded with data.
If you’re just starting to develop an enterprise level web application, you’re lucky.