Introduction Since the time when Big Data was introduced it has gone through multiple phases of evolution. Hadoop was introduced in 2005 with some initial features such as the MapReduce processing engine which allowed large scale data processing workloads distributed…
What is Apache Kudu?
Oversigt : Kudu is the new open source project which provides updateable storage. It is a complement to HDFS/HBase, which provides sequential and read-only storage. Kudu is more suitable for fast analytics on fast data, which is the demand of…
Big Data and Education Industry
Oversigt: Big data has been driving revolutionary changes in education. There hardly remains an area in education not impacted by big data. You can notice the changes in the ways educational institutions are governed, course quality is managed and student…
Big Data characteristics and pain points
Overview Big data is based on three most important characteristics, known as volume, velocity and veracity. It comes in different forms and structure. Big data analytics is having significant impact in business decision. But it comes with some pain points.…
Measuring the ROI in Hadoop adoption
Oversigt: Nowadays, people seem to be really misinformed about Hadoop, mainly due to lots of half-truths that are fluttering about it in the market. Dog, all these half-truths were normal as Hadoop is said to be one of the best…
SQL on Hadoop – How does it work?
Oversigt: SQL on Hadoop is a group of analytical application tools that combine the SQL-style querying and processing of data with the most recent Hadoop data framework elements. The emergence of SQL on Hadoop is an important development for big…
Want to know about Big Data myths?
Overview Big data, data science, and big data analytics are perhaps some of the hottest terms in today’s technology world. Men, at the same time there is a lot of misunderstanding and confusion about those terms. So people start thinking…
Data Center Challenges with Big Data
Oversigt: Big data comes with big challenges. The data will keep on expanding with a tremendous velocity. The study has shown that almost 90 percent data has been generated in the last two years, so the challenge is to handle this…
Big data (Hadoop) as a service – How does it work?
Oversigt: I dagens teknologiverden,,en,software som en service,,en,er en almindelig model,,en,Tjenesten, hvis den tilbydes abonnenterne efter behov,,en,Big data følger også servicemodellen,,en,Jeg vil tale om,,en, software as a service (SaaS) is a common model. The service if offered to the subscribers as per need basis. Big data is also following the service model. In this article, I will talk about the…
Big Data: A Big Bad Data or a Game Changer
Oversigt: Data is evolving everywhere- from a single voice search you just made to locate a nearby restaurant in your neighbor to the last weekend’s party pictures which you just threw over Facebook account. “A report reveals that 2.5 quintillion…
Why Apache Spark is the future platform for big data?
Oversigt: As big data becomes one of the most important assets an enterprise can possess, enterprises are demanding more out of the data. Enterprises expect data to provide complex and multidimensional insights at high speeds. To provide such insights, companies…
Hadoop Basic concepts – Learn it now
Indledning: In this series, we will discuss some of the basic concepts in Hadoop and big data. We have tried to cover basic concepts and explain them to make it easy to learn and implement. We will keep on adding…
What is the success rate in Hadoop adoption?
There has been a lot of hype around Hadoop for a long time. This hype was expected because Hadoop is perceived an extremely efficient big data processing tool. But time has come to look at some cold, hard facts. It…