MeitY Needs To Consider IFF’s Recommendations For Data Centre Policy

The Internet Freedom Foundation (IFF) recently published its recommendations for the draft on Data Centre Policy by the Ministry of Electronics and Information Technology (MeitY).

The draft, published by MeitY on November 5 this year with several policy strategies for the growth of the data centre sector in India, asked for recommendations from domain experts, public policy professionals, and students within 15 days.

In a response to the MeitY’s request, points made in the recommendations published by the IFF present valid concerns in terms of the lack of data governance and security standards in the draft.

#opinions #data centre india #data governance act #data privacy concerns #data protection bill #data saftety #data security #meity draft on data centre policy

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MeitY Needs To Consider IFF’s Recommendations For Data Centre Policy

The Internet Freedom Foundation (IFF) recently published its recommendations for the draft on Data Centre Policy by the Ministry of Electronics and Information Technology (MeitY).

The draft, published by MeitY on November 5 this year with several policy strategies for the growth of the data centre sector in India, asked for recommendations from domain experts, public policy professionals, and students within 15 days.

In a response to the MeitY’s request, points made in the recommendations published by the IFF present valid concerns in terms of the lack of data governance and security standards in the draft.

#opinions #data centre india #data governance act #data privacy concerns #data protection bill #data saftety #data security #meity draft on data centre policy

Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition

MeitY Needs To Consider IFF’s Recommendations For Data Centre Policy

A Data Centre Policy, at the same time it is equally important for the policy to address issues like regulatory frameworks that will protect data, privacy, and rights of the people.
https://zcu.io/i6rC

#datacentre #policy #privacy #big-data #gdpr #meity

How To Build A Modern Data Centre?

Data is everywhere. By 2025, the amount of data generated is predicted to cross a staggering 175 zettabytes. The data explosion has amplified the importance of data centres. Technology giants like IBM and Microsoft are aggressively investing in setting up data centres globally. India alone saw 14 major data centre investments in 2020 (till September).

Data centres, often referred to as the backbone of the internet, are used to store, communicate, and transport the information generated on a daily basis.

Given the kind of heavy lifting they do in the modern computing era, data centres need to be highly efficient, robust, and up-to-date. Besides, a good modern data centre has to be cost-effective, energy-efficient, and responsive. So the looming question is whether the data centres today are efficient enough to keep up with the accelerating demand?

#opinions #building modern data centre #data centre modularisation #hybrid data centre #module data centre #software-defined data centre

Getting Started With Data Lakes

Frameworks for Efficient Enterprise Analytics

The opportunities big data offers also come with very real challenges that many organizations are facing today. Often, it’s finding the most cost-effective, scalable way to store and process boundless volumes of data in multiple formats that come from a growing number of sources. Then organizations need the analytical capabilities and flexibility to turn this data into insights that can meet their specific business objectives.

This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that’s designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You’ll also explore key benefits and common use cases.

Introduction

As technology continues to evolve with new data sources, such as IoT sensors and social media churning out large volumes of data, there has never been a better time to discuss the possibilities and challenges of managing such data for varying analytical insights. In this Refcard, we dig deep into how data lakes solve the problem of storing and processing enormous amounts of data. While doing so, we also explore the benefits of data lakes, their use cases, and how they differ from data warehouses (DWHs).

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This is a preview of the Getting Started With Data Lakes Refcard. To read the entire Refcard, please download the PDF from the link above.

#big data #data analytics #data analysis #business analytics #data warehouse #data storage #data lake #data lake architecture #data lake governance #data lake management