Data Management/ Big data

CATEGORY ::Data Management/ Big data

A lot of what we do is now digital. The amount of data produced is ever-growing and will only explode with the advent of machine learning and other forms of artificial intelligence. An entire industry is built around collecting, storing, analyzing, and using the data for more tech innovations.

But it’s not all drives and software; rules and regulations regarding data collection, storage, and usage in various jurisdictions may not always agree. They are constantly evolving to meet new advancements or reflect government regulations.

Data management refers to collecting, organizing, protecting, and storing an organization’s data for analysis to make better business decisions. To that end, data management leverages techniques that include preparation, pipelines, catalogs, warehouses, governance, architecture, security, modeling, and more.

Big data, on the other hand, refers to large, hard-to-manage volumes of data, both structured and unstructured, that businesses collect every day. Big data can come from various sources, including logs, emails, medical records, mobile apps, social media, IoT devices, machines, etc.

In our coverage, we pay attention to big data and data management to learn about the changes in the industry, how they impact end users and businesses, opportunities for improvement and optimization, and more. Some of the benefits businesses and organizations get from data management and big data include:

  • Visibility of assets for better organization and productivity.
  • Predictive analysis allows businesses and organizations to make better decisions while optimizing efficiency and reducing risk.
  • Cost savings from efficient operations.
  • Customer satisfaction from accurately analyzing preferences, feedback, behaviors, and sentiments, improving customer retention and loyalty.
  In this segment, we cover the latest trends and innovations in data management and big data technologies, the best practices and challenges of implementing related solutions, use cases and success stories of how industries and organizations use data management and big data, and career opportunities and skills requiring for aspiring or existing professionals in the industry.
As the fuel that powers innovation and growth, data is well-positioned to help businesses and organizations gain a competitive edge or solve problems by accurately anticipating and preparing for them.