Tag Archives: Big Data Analytics

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Scope of Data Integration

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Data[1] integration involves combining data residing in different sources and providing users with a unified view of data. This process becomes significant in a variety of situations, which include both commercial (when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories) domains. Data integration has increased  as the volume and the need to…

Big Data Adoption Process

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Big Data, the current buzz word in the IT and financial space has caught the imagination of a lot of organizations. Studies released in the past year or so have clearly shown that Big Data investments are rising across industries and around the globe[1]. It represents a business adoption paradox: it promises speed, but successful…

How Big Data Addresses the Issue of Anti-Money Laundering

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Anti-Money laundering (AML) is a term mainly used in the financial and legal industries to describe the legal controls that require financial institutions and other regulated entities to prevent, detect, and report money laundering activities. Money laundering activities typically aim to generate income with no regulation to maximize income for as little cash outflow as possible, with no…

Big Data Analytics: Modern day Use Cases

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The primary goal of Big Data Analytics is to help companies make more informed business decisions by enabling data scientists, predictive modelers and other analytics professionals to analyze large volumes of transaction data, as well as other forms of data that may be untapped by conventional business intelligence (BI) programs. History and evolution of Big Data Analytics [1]…

History of Big Data

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What is Big Data? In essence, Big Data is a term for data sets that are so large or complex that traditional data processing applications are inadequate. It usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage and process data within a tolerable elapsed time[1]. The…

Hadoop in Banking: The Game Changer

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What is Hadoop? Apache Hadoop is an open source software framework written in Java for distributed storage and processing of very large datasets on multiple clusters. Developed by Doug Cutting and Mike Cafarella in 2005, the core of Apache Hadoop consists of ‘Hadoop Distributed File system for storage and MapReduce for processing data. The basic…

Discover Opportunities of Big Data Analytics

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Big Data Analytics is the hammer which chisels the marble chunks of big data revealing risk patterns, fraud alerts, operational trends, customer preferences and other nuggets of information. This in turn leads to more timely identification of risks, efficient marketing, increased profits and improved customer service. What is the Goal of Big Data Analytics?   Big Data’s…