It is an undeniable fact that we are gradually becoming slaves to our technology as virtual assistants are coordinating our every move and our lives held in the palm of our hand.
Everything we do can be tracked online from making a purchase viewing products. This is because social media plays a major role in this action. Popular sites like Twitter, Facebook, and Instagram record millions of chat streams, likes, and tweets...
The world is gradually moving towards digital, and this means big data is here to stay. In fact, the importance of big data and data analytics is only going to continue growing in the coming years.
You might think that the big data revolution is already in full swing. You’d be wrong. It can take decades for a big technological revolution to truly make its impact felt. And before you doubt it, big data is a technological revolution.
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.
Selecting a database which fits in our application requirement is a very daunting task since “no one size fits all”.
NoSQL database stores are initially considering the notion “Just Say No to SQL” and these were the reactions to the perceived limitations of (SQL-based) relational databases RDBMS.
Pig Latin has a simple syntax with powerful semantics we will use to carry out two primary operations:
Developers and Programmers are still continue to explore various approaches to leverage the distributed computation benefits of MapReduce and the almost limitless storage capabilities of HDFS in intuitive manner that can be exploited by R.
Machine learning refers to a feild of artificial intelligence (A.I.) functions that provides tools enabling computers to enhance their analysis on the basis of previous events.
MapReduce API has two main classes which do the Map-Reduce task for us: Mapper class and Reducer class.
Simple” often sense as “elegant” when it comes to those remarkable architectural drawings for that new Silicon Valley mansion we have planned for when the money starts rolling in after we implement Hadoop.
With the release of Hadoop 2, however, YARN was introduced, which open doors for whole new world of data processing opportunities.
Mapper class is responsible for providing implementations for mapping jobs in MapReduce.