The power of data analytics
Next: How to install a standalone Hadoop Part 1: Understanding Apache Hadoop as a Big Data Distributed Processing & Storage Cluster In the last post, I discussed on which occasion we prefer distributed approach such as Hadoop and Spark over the monolithic approach. I will discuss more detail about Apache Hadoop in this article. This … Read moreApache Hadoop: What is that & how to install and use it? (Part 1)
Long time not checked Tableau, this application has incorporated new connectors for recent technologies, e.g., Google Big Query, Spark SQL, etc. It surely positions itself as the ‘de facto’ distributed visualization platform for big data. I was wondering when Tableau delivers its desktop version on Linux platform. Microsoft Excel Text File Microsoft Access JSON File … Read moreTableau, the “de facto” distributed visualization platform for big data
Very often, many organizations insist to involve legacy resources (e.g., applications, data storage) into the big data system. On one hand, it could accelerate and ease the implementation of a big data use case, but it also creates a bottleneck in the workflow that would be problematic in the long term. If the monolithic applications … Read moreBe cautious to include legacy resources as part of the big data system