A New Age Data Catalog

We live in a new era where “Googling” has become a commonly used practice available at our disposal to find almost any information we desire. In this new era of exponential growth in data, enterprises have a need for “Googling Data Assets.” A recent set of data catalog tools with built-in capabilities have been developed …

We Have Data V’s, What About Data Quality?

Organizations have been increasing their focus on data analytics and visualization techniques to drive faster decisions, deliver better customer experiences and generate market insights from big data and analytics. The modern-day data platform has undergone rapid changes. These changes have been primarily directed towards the 3 Vs of big data: volume, velocity and variety but …

Sharing Data between Angular Components

Angular components are the building blocks of any Angular application. Components provide the views or templates for your application, as well as, manage the data bound to those views.  Some of most common data sharing scenario is in which two or more components share information are: Parent Component => Child Component : @Input — property binding Child Component …

Is Data Modeling Only About Modeling Data?

Velocity is a key factor in consulting and projects delivery. This is no different for data engineering/science projects. The urge to develop a “functional” product plus the creation of new tools such as Azure Machine Learning Studio have made it quite easy to create a model for data. With a “plug and play” framework you …

When Is My Data Big Enough to Be Considered Big Data?

Recently, I’ve been reading a lot about “small data.” It was a kind of a new term for me, which is defined as the amount of data a human mind can comprehend; if the mind is not able to accomplish this, then the term used is “Big Data.” We are all aware of how fast …

3 Barriers to Overcome Before Reaching Value from Data

Being passionate about data can return extraordinary rewards, both in the intrinsic satisfaction of generating knowledge by applying Artificial Intelligence (AI) techniques as well as in potential “knowledge services” we can generate to deliver significant value to our clients. In the last decade, there have been a number of developments that have affected how we …

Snowflake Data Warehouse Proof of Concept

Introduction Snowflake data warehouse was built from the cloud up to support modern data warehousing at any scale. Its multicluster, scale-out approach is designed to separate compute from storage. Its architecture is built so that multiple, independent compute clusters can access a shared pool of data without resource contention. Customers pay for what is used …

An Introduction to Next Generation Master Data Management (MDM)

An Introduction to Next Generation Master Data Management (MDM)   Master data management is the framework of processes and technologies aimed at creating and maintaining an authoritative, reliable, sustainable, accurate, timely and secure environment. This environment represents a single version of truth as an accepted system of records across a diverse set of systems, business …

Introduction to Teradata Architecture: An MPP System in Action

Introduction Teradata was created by Teradata Corp. in 1976 and is considered as one of the best Relational Database Management Systems available today. It makes an interesting read to understand how Teradata has been the leader in the market for so many years. In this blog, we’ll cover Teradata’s unique architecture to learn why so …
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