Category Archives: Big Data

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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…

The Rise and Scope of FinTech

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There are undoubtedly a lot of challenges banks are currently facing. The dynamic regulatory environment and the rise of technology in everyday banking activities is changing the way we bank, and catering to this fast evolving dynamics is tough for most banks. This is where FinTech is making a difference. According to the infographics created…

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]…

Automation in Banking

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Banking and Automation- the two terms are synonymous to each other in the same way bread is to butter – always clubbed together. We live in a digital age and hence, no institution of the global economy can be immune from automation and the advent of digital means of operations. In fact, banks and financial…

Why shift from ETL to ELT?

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The process of data warehousing is undergoing rapid transformation, giving rise to various new terminologies, especially due to the shift from the traditional ETL to the new ELT. For someone new to the process, these additional terminologies and abbreviations might seem overwhelming, some may even ask, “Why does it matter if the L comes before…

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…