Entries by Datalumen

SAP DATASPHERE: GAME-CHANGING LEAP WITH COLLIBRA, CONFLUENT, DATABRICKS & DATAROBOT PARTNERSHIPS

/in , , , , /by

This article explores the key differences between data observability and data curation, two important concepts in the world of data management. Data observability involves monitoring data in real-time to identify any anomalies or issues, while data curation focuses on managing and maintaining data over its entire lifecycle to ensure its accuracy and reliability. While there are some similarities between the two concepts, such as their importance for ensuring data accuracy and reliability, they have distinct differences in terms of their focus, purpose, and approach. Both concepts are essential for organizations that rely heavily on data analytics to make informed decisions.

TO CURE OR TO OBSERVE? HOW DATA OBSERVABILITY DIFFERS FROM DATA CURATION

/in , , , , /by

This article explores the key differences between data observability and data curation, two important concepts in the world of data management. Data observability involves monitoring data in real-time to identify any anomalies or issues, while data curation focuses on managing and maintaining data over its entire lifecycle to ensure its accuracy and reliability. While there are some similarities between the two concepts, such as their importance for ensuring data accuracy and reliability, they have distinct differences in terms of their focus, purpose, and approach. Both concepts are essential for organizations that rely heavily on data analytics to make informed decisions.

TRANSLYTICAL DATA PLATFORMS: THE FUTURE OF DATA MANAGEMENT?

/in , , /by

As the volume and complexity of data continue to grow, organizations are looking for powerful and flexible solutions to manage, store, and analyze their data. Translytical data platforms are a new type of database management system that combines the capabilities of transactional and analytical databases. Unlike traditional databases that are optimized for either transactional processing or analytics, translytical data platforms enable businesses to perform real-time analytics on transactional data, simplify data architecture, improve data quality, and save costs by eliminating the need for complex ETL processes and multiple databases. With the ability to handle structured, semi-structured, and unstructured data, translytical data platforms are the future of data management and analytics, providing businesses with faster insights and improved decision-making.

DATA FABRIC VS DATA MESH: AN APPLES & ORANGES STORY?

/in /by

Data fabric and data mesh are two concepts that have gained a lot of attention in the world of data management. While they share some similarities, they have some fundamental differences that are important to understand. In this article, we will explain the difference between data fabric vs data mesh.What is a Data Fabric?A data […]

UNDERSTANDING DATA LAKEHOUSES: THE HIGHWAY TO MODERN BIG DATA MANAGEMENT OR A U-TURN TO YOUR DATA SWAMP?

/in /by

As the volume and complexity of data continue to grow, traditional data management solutions are struggling to keep up. This is where data lakehouses come in. In this article, we’ll take a closer look at what data lakehouses are, how they differ from traditional data warehouses, and their benefits for businesses.What is a Data Lakehouse?A […]

DATA FABRIC IN A NUTSCHELL

/in /by

In today’s digital age, data has become one of the most valuable assets for organizations of all sizes and across all industries. However, with data being generated, stored, and accessed from multiple sources and locations, managing and analyzing it has become increasingly complex.To address this challenge, a concept called a data fabric has emerged in […]

COLLIBRA DATA CITIZENS 22 – INNOVATIONS TO SIMPLIFY AND SCALE DATA INTELLIGENCE ACROSS ORGANIZATIONS WITH RICH USER EXPERIENCES

/in , , /by

This article explores the key differences between data observability and data curation, two important concepts in the world of data management. Data observability involves monitoring data in real-time to identify any anomalies or issues, while data curation focuses on managing and maintaining data over its entire lifecycle to ensure its accuracy and reliability. While there are some similarities between the two concepts, such as their importance for ensuring data accuracy and reliability, they have distinct differences in terms of their focus, purpose, and approach. Both concepts are essential for organizations that rely heavily on data analytics to make informed decisions.

HOW A BELGO-GLOBAL BIOPHARMACEUTICAL COMPANY ACCELERATES LIFE-SAVING DRUG DISCOVERIES BY REDUCING QUERY LATENCY 30X

/in , /by

Discovering new medical therapies and drugs is a complex and time-consuming process. High-performance computing and interactive data analytics can make a substantial difference and  accelerate discovery and time-to-market.UCB  is a multinational biopharmaceutical company headquartered in Brussels. UCB focuses primarily on research and development, specifically involving medications centered on epilepsy, Parkinson’s disease, and Crohn’s disease. The […]

THE MARKETING DATA JUNGLE

/in , , , /by

Customer & household profiling, personalization, journey analysis, segmentation, funnel analytics, acquisition & conversion metrics, predictive analytics & forecasting, …  The marketing goal to deliver a trustworthy and complete insight in the customer across different channels can be quiet difficult to accomplish.A substantial amount of marketing departments have chosen to rely on a mix of platforms […]

CHANGE & DATA GOVERNANCE – TAKE A LEAP FORWARD

/in /by

A successful data governance initiative is based on properly managing the People, Process, Data & Technology square. The most important element of these four is undoubtedly People. The reason for that is that at the end it boils down to people in your organization to act in a new business environment. This always implies change […]