When we talk about blob storage, we talk about the three different tiers – hot, cool or archive – for delegating the importance of data and how accessible it is. The challenge has been that when we picked the tier…
Today I’ll wrap up my series on HDInsight with R Server. What R Server does is when you create an HDInsight cluster, you can select it as an option and it will provide data scientists, statisticians and R Programmers with…
Last week I began a series on HDInsight. Today I’m continuing that series with a focus on Interactive Query. Interactive Query leverages Hive which uses LLAP (Long Live and Process), also known as low latency analytical processing. This allows for…
Continuing with my HDInsight series, today I’ll be talking about Kafka. HDInsight Kafka will sound much like Storm but as I get into the nuts the bolts you’ll see the differences. Kafka is an open source distributed stream platform that…
Next in my series on HDInsight, today I’ll be talking about Storm. HDInsight Storm is a distributed stream processing computational framework. It uses spouts which define information sources and bolts which are manipulations in processing to allow batch distributed processing…
In continuation of my series on HDInsight and the different clusters within it, today I’ll cover HBase. HBase is a NoSQL database that provides random access and strong consistency for structured, unstructured and semi-structured data. It’s a schema-less (or organized…
Today I’m continuing my series on HDInsight with the focus on Spark clusters. HDInsight Spark clusters provide the required baseline for in-memory cluster computing. This technology has gained momentum over the last few years as the required levels of memory…
In upcoming posts, I’ll begin a series focusing on Big Data and the Azure HDInsight offerings. If you don’t know, HDInsight is a fully managed, full spectrum open source analytics service for enterprises that allows you to use open source…