The Biggest Challenge of Hadoop Analytics: It’s all about Query Performance
As Big Data gets bigger and more complex, scalability and performance turn out to be major areas of concern for business users. When organizations use SQL on Hadoop for their business intelligence, they often find it difficult to cope up ...
Relation Between Big Data Hadoop and Cloud Computing
With the entire on-going buzz around Hadoop, you might ask, "What is Hadoop and what does it need to do with cloud?" Before I answer this, we ought to talk about huge information.
Enormous information: More than just investigation
Investigation gives ...
Hadoop or Tableau…… the Confusion Goes On
Hadoop provides Big storage for any type of data and is the most standard system for controlling big data. It is an operating system that works on an open-source programming structure. It is helpful to place information and run applications ...
The Top 5 Hadoop Distributions
A new report by Forrester Research’s big data analysts says that adopting Hadoop is “mandatory” for any organization that wishes to do advanced analytics and get actionable insights on their data.
Forrester estimates that between 60% and 73% of data that ...
Importance of Big Data Analytics for Business Growth
Until recent years companies have always evaded the question of using data analytics for business execution, leave alone big data. Most of the time it was due to cost of analysis that the organisations kept in mind while keeping away ...
Data Lake Showdown: Object Store or HDFS?
The explosion of data is causing people to rethink their long-term storage strategies. Most agree that distributed systems, one way or another, will be involved. But when it comes down to picking the distributed system–be it a file-based system like ...
4 Considerations When Choosing a Hadoop Distribution
Choosing the right Hadoop distribution can be a tricky process. Many businesses looking to adopt Hadoop in their data infrastructure have a hard time figuring out what really differentiates one distribution from another. With so many options available, it’s easy ...
Apache Parquet paves the way for better Hadoop data storage
Apache Parquet, which provides columnar storage in Hadoop, is now a top-level Apache Software Foundation (ASF)-sponsored project, paving the way for its more advanced use in the Hadoop ecosystem.
Already adopted by Netflix and Twitter, Parquet began in 2013 as a ...
MapReduce for C: Run Native Code in Hadoop
Google announced the release of MapReduce for C (MR4C), an open source framework that allows you to run native code in Hadoop.
MR4C was originally developed at Skybox Imaging to facilitate large scale satellite image processing and geospatial data science. We ...
Apache Flink: Possible replacement for Hadoop?
Earlier this week, Apache Software Foundation unveiled its latest Top Level Project (TLP), Flink.
Flink is just one of the many data processing tools that have emerged since the Java-based distributed computing platform Hadoop has increased adoption in the enterprise space.
Flink is ...