Big Data has become a strategic asset for many companies in a variety of industries. Increasingly, efficient operations rely on effective usage of vast amounts of structure and unstructured data. Data from the sources beyond internal databases can add significant value and competitive advantages. However, with the exponential growth of data, it becomes difficult to process it using database management tools along with traditional data processing applications.

Big Data processing, storage and analysis turned out to be extremely complicated for large-scale enterprises.

Companies planning to exploit the benefits of Big Data are often facing the challenge of developing stand-alone efficient solution to operate humongous volumes of unstructured data that is cost-efficient, secure and addresses specific business need.

Even before the term Big Data existed, Kanda Software development teams have been developing enterprise-wide analytics and business critical solutions for the companies trying to effectively use large amounts of structured and unstructured data from various sources. We combine extensive multi-industry experience with innovative approach to Big Data storage, analysis and processing techniques development.

HADOOP

Hadoop is the power behind flourishing big data industry. It is an open source framework licensed under

APACHE SOFTWARE

Foundation. Hadoop has ability to process huge amount of data without investing much capital.

APACHE HADOOP

is preferred by almost every organization in order to cut down the cost and to create a strong analytic and management dashboard solution. It is written in Java programming language which is globally accepted. It has components like MapReduce and Hadoop Kernel etc. This has become a core element of modern data architecture and a highly efficient, scalable procedure to manage enterprise data. A modern data architecture of Hadoop helps win today’s marketplace.

Working with Java APIs directly is error-prone and a bit complex algorithm. Hadoop has two options to make things easier and simpler.