Month: March 2018

New hyper-fast data ingestion enables smarter decisions

New hyper-fast data ingestion enables smarter decisions

Human beings tend to filter out events they deem unimportant. They can only process so much at any given time. Computer systems, however, must be able to handle a massive number of events in real time or near-real time to help support a wide range of applications. Financial applications must monitor events to help counter … Continue reading New hyper-fast data ingestion enables smarter decisions

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Apache Hadoop and its Components

Apache Hadoop and its Components

Apache Hadoop is an open-source software framework written in Java. It is primarily used for storage and processing of large sets of data, better known as big data. It comprises of several components that allow the storage and processing of large data volumes in a clustered environment. However, the two main components are Hadoop Distributed … Continue reading Apache Hadoop and its Components

What is NoSQL and is it the next big trend in databases?

What is NoSQL and is it the next big trend in databases?

What is NoSQL? As per the official Wiki definition: “A NoSQL (originally referring to “non SQL” or “non relational”) database provides a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relation databases (RDBMS). It encompasses a wide variety of different database technologies that were … Continue reading What is NoSQL and is it the next big trend in databases?

Top Pain Points of Big Data Analytics

Top Pain Points of Big Data Analytics

Processing big data can be a very difficult task because of extreme complexity due to size and diverse data types across businesses.It can be broadly divided into three main types according to their source, which are structured, semi-structured or not structured at all i.e. unstructured. However, a big data is perfectly analysed only when a … Continue reading Top Pain Points of Big Data Analytics

Advantages of Hadoop MapReduce Programming

Advantages of Hadoop MapReduce Programming

Big Data is basically a term that covers large and complex data sets. To handle it, one requires use of different data processing applications when compared with traditional types. While there are various applications that allow handling and processing of big data, the base framework has always been that of Apache Hadoop. What is Apache … Continue reading Advantages of Hadoop MapReduce Programming

How Apache Drill can make Data Analysis easier for Everyone?

How Apache Drill can make Data Analysis easier for Everyone?

Big data processing applications helps to fully analyse all available data and find patterns in it. However, these applications have always been complex and not easy to use. They require experts with skills to operate these applications and mine useful data patterns. These people are called data scientists as people believe that, you needed to … Continue reading How Apache Drill can make Data Analysis easier for Everyone?