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 […]
Getting started with Lakehouse in Microsoft Fabric: A how-to guide
The launch of Microsoft Fabric for managing massive data loads has revolutionized the entire data infrastructure. With Microsoft Fabric Lakehouse, organizations can leverage a unified data repository that seamlessly stores and manages both structured and unstructured data. This data Lakehouse architecture eliminates the need for separate data lakes and data warehouses, fostering a more agile […]
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 […]
Exploring Data Governance: A strategic asset for business growth
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 […]
Revolutionizing Business Intelligence with advanced data engineering
Over the years, business intelligence (BI) solutions have played a pivotal role in assisting businesses in identifying and interpreting patterns, trends, anomalies, and relationships within their in-house data, as well as in collaboration with external data sources. Employees have been generating individual reports, running queries, sharing insights, and collaborating more effectively than ever before. This […]
Choosing your data journey: Data Fabric vs. Data Mesh
Data management is a challenge for organizations worldwide as they grapple with growing volume, variety and complexity of data. While businesses emphasize autonomy and productivity, they are still stuck with siloed data and monolithic architecture that leaves them drowning in a data lake and struggling to extract valuable insights. A survey showed that approximately 50-70% […]