AtScale, provider of BI (Business Intelligence) on Hadoop, has released its study titled "The Business Intelligence Benchmark for SQL-on-Hadoop engines," which is a performance test of BI workloads on Hadoop. The report also studies the strengths and weaknesses of Hive, ...
Big data is no longer just a buzzword. Researchers at Forrester have "found that, in 2016, almost 40 percent of firms are implementing and expanding big data technology adoption. Another 30 percent are planning to adopt big data in the ...
Big data is a big part of many enterprise IT operations today. According to an IDC forecast, it will be $187 billion big by 2019. It's a critical part of the analysis that forms the basis of both machine and ...
Data locality is about making sure a big data set is stored near the compute that performs the analytics. For Hadoop, that means managing DataNodes that provide storage for MapReduce to perform adequately. It works effectively, but leads to the ...
The virtual data room, or VDR for short, first arose out of need for a secure way to store data online. Yes, it was possible to lock the door of a physical data room where hard copy files were securely ...
Organizations are consistently assessing trends to find out how they can reach their goals. The recent searches show that the use of Big Data Analytics is possibly the hottest skills dominating modern job markets and the best career move for ...
Big data has been welcomed so far, by the technology world knowing its advantages and reliability. Everyone runs behind big data to know its advantages but no one is really bothering to know its disadvantages. It’s high time we all ...
Listen in on any conversation about big data, and you'll probably hear mention of Hadoop or Apache Spark. Here's a brief look at what they do and how they compare.
1: They do different things. Hadoop and Apache Spark are both ...
The word ‘cloud’ is mainly used as a metaphor for the internet. Hence, cloud computing refers to internet-based computing. The technology mainly relies on sharing computer resources instead of personal devices or local servers to handle applications.
When we speak of ...
Data management including capturing , storing and analyzing data was very expensive and complicated prior to its management by Hadoop. With the entry of Hadoop in the industry, data management became to handy as well as less expensive.
Hadoop’s processing part ...