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Everyone knows that Big Data offers tremendous benefits for businesses, from sales to marketing, accounting, and everything in between. When you think about Big Data, HR is probably not a business function that immediately comes to mind...
Driving is a part of everyone’s life and you probably do it every day. It can be fun driving on a road trip but it can be a nightmare when heading to work. The fact that everyone is in a hurry to go to work means everyone is on the road...
Startup companies are often described as small enterprises that compete with the large players in the economy. As they compete with large corporations for their market share, startups should consider the needed traction big data analytics...
We have already examined dos and don’ts of Row Keys and Column Family with details in our previous post.
Zookeeper enables coordination and synchronization with what we calls “znodes”, which are presented as a directory tree and resemble the file path names we would see in a Unix file system.
In our pervious parts of this series named under “HBase Architecture” we have seen RegionServers,
In HBase Architecture: Part-1, we Started our discussion of architecture by describing RegionServers instead of the MasterServer may have surprised you.
Previously, we have seen RegionServers and learn how regions work. Now here we examine compactions.
Previously we are introduced to the HBase architecture and examine the most basic component of the architecture that is RegionServer.
HBase data stores comprises of one or more tables, that are indexed by row keys. Data is stored in rows with columns, and rows can have multiple versions.
As we might have guessed, the Google’s BigTable distributed data storage system(DDSS) was designed to meet the demands of big data. Now, big data applications store massive amount of data but big data content is also often variable.
I think everybody remember his first surfing experience on the World Wide Web,; we just knew that it was an incredible innovation for the IT industry.