What is modern data ecosystem: Core components and their roles in data management

When it comes to data in today’s business and technology landscapes, the term “data ecosystem” is often mentioned but not always fully understood. This lack of clarity leads to confusion about the concept of a modern data platform. A modern data platform is a core part of a data ecosystem designed to manage and process […]
Data management 101:Types, key benefits and best practices explained

Businesses are accumulating data at record levels and have access to more data than before. By 2025, it’s estimated that the global data sphere will hit an astonishing 175 zettabytes. But with this explosion of data comes a significant challenge: how to effectively manage and leverage this data for better decision-making. Many organizations are struggling […]
Microsoft Fabric OneLake: The OneDrive for all your data

Managing vast and varied datasets spread across multiple platforms is a challenge for many organizations. For too long, disparate systems have scattered data, creating silos that hinder insights and slow down decision-making. A centralized data lake offers a compelling solution to this challenge. Data lake offers a complete and authoritative data store to power data […]
Structured vs Unstructured data: A beginner’s guide to data management
The World Economic Forum predicted that by 2025, 463 exabytes of data will be generated each day globally – which is unbelievably shocking! But this influx of data comes with a challenge: not all data is created equal. Some are structured and most of it is unstructured. Structured and unstructured data are two broad categories […]
Data Lakehouse vs Data Warehouse: Choosing an ideal data management solution
As businesses grapple with ever-increasing data volume, velocity, and variety, the need for robust solutions for storing, managing, and analyzing data becomes paramount. A survey reveals that a quarter of decision-makers believe their companies’ data volumes will expand by over 60% by the end of 2024. This emphasizes the need for scalable data storage solutions […]
Data engineering challenges 2024: Insights into benefits and solutions
In today’s digital world, businesses are inundated with vast amounts of data. This raw data must be cleansed and transformed to support data-driven decisions, making the role of data engineering more crucial than ever. Data engineers are responsible for ensuring that data is not only accessible but also meaningful, secure, and ready to drive innovation. […]
Comparing ETL vs. ELT: A guide to Data Integration selection
Gone are the days when businesses acquired data warehouses to collect data from multiple sources to fuel their data analytics. When the concept of data lakes was introduced in 2011, it created a revolution in the way data is gathered and stored. Today, businesses emphasize data and AI and have shifted toward data integration using […]
Data Engineering in Microsoft Fabric: Design, build, and maintain systems for data management
The rise of big data and the advancement in data science have generated large volumes of data, emphasizing the importance of storage and retrieval in data engineering. As the amount of data created daily is expected to reach a staggering 463 exabytes by 2025, data engineers and analysts have a unique chance to make a […]
Data governance best practices: A roadmap to lasting success
In the present digital landscape, data reigns supreme. It is growing in both variety and velocity across different environments, be it on-premises or in the cloud. Recognized as a company’s most valuable asset, the strategic use of data can significantly impact an organization’s success. Ensuring data quality, reliability, and accessibility to the right people at […]
Empowering organizations: Building a data-driven culture with data democratization
For an organization to successfully implement a data democratization strategy to make informed decisions, it must have a data-driven mindset or culture. That’s why businesses that make most of the decisions based on their data are 58% more likely to beat their revenue targets than those who don’t, as reported by Forrester Consulting. Another report […]