Thursday, April 22, 2021

A Brief Explanation of Big Data and Data Lake


As the digital economy is growing strongly, technological factors bring changes in business. Data will serve as the foundation and starting point for discussions about business transformation.

Data will continue to empower people, enterprises, technologies, and the processes. Data allows organizations to understand their customers, anticipate their needs and preferences, and respond faster. Data has also become the backbone of everything that has to done with improvements in product quality and capabilities. Data even allows organizations to understand themselves and operate more efficiently by analyzing business cycles, employee habits and customer needs.

Advanced analysis of the data is allowing organizations to survive an unprecedented change in their business models. Analytics is paving the way to define new service models, coordinate continuity of care, and help centralize personnel and operational efficiency.  Advanced analytics help organizations ensure security and governance, also enables customers to pay for goods and services with a variety of emerging digital options. This cashless and inclusive economy seemed impossible just a few years ago. Advanced data and analytics is at the heart of this transformation. The term Big Data comes into being for those reasons.

What is Big Data and how to analyze it?

Big Data is often defined as a large data set consisting of unstructured or incomplete data, each of which can be used to declare data into details. These data sets are often so large and complex that it is difficult for normal data processing software to collect, store and process it in a suitable amount of time, because their volume can increase to petabytes or even exabytes. Big Data is also defined by three V which means; Volume: the size of the Data, Variety: the diversity of the Data, Velocity: the speed at which data needs to be processed and analyzed.

Big data is made up of sources including sites, social media platforms, desktop software and mobile applications, scientific experiments, sensors and other devices on the internet (IoT).

Analyzing Big Data: Once you have data, the most important thing is to analyze those data so that they can actually deliver benefits such as increased sales, improved customer service, improved productivity, and more increase overall competitiveness.

Data analysis involves examining data sets, thereby giving detailed information or drawing conclusions about trends and predictions about future performance. As a result, the data can be applied to work such as choosing when and where to advertise products and services, which is very useful for companies that need timely product promotion campaigns.

What is Data Lake? What are the benefits of Data Lake?

Data lake if the place where all business data want to collect, store, analyze and turn into insights and actions, including structured and semi-structured data and even unstructured data. Data lake is designed to analyze Big Data and to solve the challenge of data silos in big data.

India Snowflake Implementation offers the most elastic solution to support your data lake strategy, with a cloud-built structure which is able to meet a variety of unique and latest business requirements. By using mix and match data patterns, you can use the full potential of your data to help your business analytics.

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