Overview: Hadoop has made big data handling simpler and it goes without saying that in the context of the huge importance big data is being given, Hadoop is viewed as a key tool in big data management. However, organizations might…
Big data protection – Steps and tools
Overview: Big data means huge volume of data which counts in terms of terabytes and above. These data are of different formats from different sources and then processed/transformed into various software packages/applications. The security aspects of big data applications are…
How to use IBM Annotation Query Language (AQL) to do text analytics?
Overview: Text Analytics is a powerful mechanism used to extract structured data from unstructured or semi structured text. This is done by creating rules. These rules are used by the extraction programs to extract the relevant information. In this article…
What are the latest trends in big data and analytics?
Overview: Big data technology is coming up with best practices and better trends every day. Big data is gradually coming into main stream projects also and gaining momentum. With big data, analytics is also getting much importance, as it is…
What is Hadoop distributed file system (HDFS)?
Overview: In this article I will discuss about HDFS, which is the underlying file system of Apache Hadoop framework. Hadoop Distributed File System (HDFS) is a distributed storage space that spans across thousands of commodity hardware. This file system provides…
How Hadoop Streaming works?
Overview: Hadoop streaming is one of the most important utility in Hadoop distribution. The Streaming interface of Hadoop allows you to write Map-Reduce program in any language of your choice, which can work with STDIN and STDOUT. So, Streaming can…
What Are The Advanced Hadoop MapReduce Features?
The basic MapReduce programming explains the work flow details. But it does not cover the actual working details inside the MapReduce programming framework. This article will explain the data movement through the MapReduce architecture and the API calls used to…
Open API economy – Influencing the growth of big data and analytics?
The already-huge world of big data and analytics has got a fillip in the form of open Application Programming Interfaces (APIs). The use of open APIs has been generating huge volumes of big data. Since open APIs are now accessed…
Hadoop key terms, Simplified
Overview: In the current technology landscape, big data and analytics are the two most important areas where people are taking lot of interest. The obvious reason behind this traction is – enterprises are getting business benefit out of these big…
How to write your first Python program?
Overview: Python is one of the most popular programming languages used for general purpose programming. It is open source, powerful, flexible and easy to learn/use/implement. Python contains powerful utilities and libraries for data processing, manipulation and analytics work. It is…
How financial frauds can be prevented by big data?
Financial fraud methods are becoming more sophisticated and the techniques to combat such attacks also need to evolve. Financial institutions have been investing on preventing and combating fraudulent attacks but the extent and nature of financial fraud continues to change.…
How big data is used to improve patient experience/patient outcomes?
Big data is being increasingly applied to improve patient experience and outcome globally. Patient experience and outcome have been largely neglected so far mainly because hospitals believed that it needed to connect unemotionally and objectively with its patients and treat…
What is the influence of Big Data in Medicine?
Big data has been redefining how healthcare is delivered. It is not that the existing healthcare system is being discarded but certain significant changes are taking place at fundamental levels. Some changes are most notable: healthcare institutions are increasingly relying…