Blogs

Spark versus Hadoop and using them in collaboration

^50A7E7751B7DA008F9D8A34E48571083DED1384F398596302F^pimgpsh_fullsize_distr.png

Now-a-days, whenever we hear the word “Big Data”, two words comes into our mind: Spark and Hadoop, and the question that arises is which one should we use. Before debating over Apache Spark and Apache Hadoop, let us understand the architectural difference between them that decides their speed while dealing with different applications.
Topics: Hadoop Apache Hadoop spark

Advantages of Using Hadoop

advantages-of-hadoop.jpg

Organizations that are majorly data driven and process large datasets are increasingly adopting Apache Hadoop as a potential tool. This is because of its ability to process, store and manage vast amounts of structured, unstructured or semi-structured data. Basically, Hadoop is a distributed data storage and processing platform with three core components that are the HDFS distributed file system, the MapReduce distributed processing engine running on top and the YARN (Yet Another Resource Negotiator).

Topics: Big data Hadoop Apache Hadoop

e-Zest Solutions is digital experience engineering company with facilities in the United States (Detroit & San Jose), Germany (Hannover), United Kingdom (London UK) and India (Pune) with global clientele. Our services include custom software development, offshore software development, UX consulting, BigData, Managed cloud Services (Azure & AWS), SharePoint consulting/Migration, Enterprise Java application development, Automated software testing services.