The work of data engineers is extremely technical. They are responsible for designing and maintaining the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to data warehouses. A data engineer needs to have a solid understanding of commonly used scripting languages and is expected to support the steady evolution of improved Data Quality, […]
Mastering Microsoft SQL Server: Analyzing and Optimizing Complex Queries
In the realm of database management, particularly with Microsoft SQL Server, understanding and optimizing complex queries is crucial for maintaining system performance and efficiency. As databases grow and complexity, the queries used to retrieve, update, or manipulate data can become increasingly intricate, potentially leading to slower response times and decreased application performance. This blog post […]
How GenAI Bridges the Data Gap Between CMOs and CFOs
Marketing budgets are never entirely safe. While it may seem like pressure is easing as global economic estimates turn slightly sunnier, consumer demand is still getting more expensive to capture and close – which means scrutiny from finance chiefs is as tough as ever. To keep investment flowing, CMOs need to get better at not only boosting […]
5 Key Strategies for Making Data Visualization Accessible
“If I can’t picture it, I can’t understand it.” —Albert Einstein Research has found that 65% of the general population are visual learners, meaning they need to see information as images to understand it. The business world confirms this: Visualization is essential in driving success. Take, for instance, data visualization, or, the art of translating data into […]
Fundamentals of Data Virtualization
Organizations are increasingly employing innovative technology called “data virtualization” (DV) to tackle high volumes of data from varied sources. Data virtualization is widely used in enterprise resource planning (ERP), customer relationship management (CRM), and sales force automation (SFA) systems to collect and aggregate multi-source data. From multi-sourced data acquisition to advanced analytics, this technology seems […]
How to Achieve Self-Service Data Transformation for AI and Analytics
Data transformation is the critical step that bridges the gap between raw data and actionable insights. It lays the foundation for strong decision-making and innovation, and helps organizations gain a competitive edge. Traditionally, data transformation was relegated to specialized engineering teams employing complex extract, transform, and load (ETL) processes using highly complex tooling and code. […]
Unveiling the Power of Dark Data in Strategic Decision-Making
If you’ve never heard of dark data, you’re not alone. Setting aside the ominous name, dark data isn’t something that is inherently bad – although, in practice, it usually does end up this way. Dark data is usually unstructured data, though it can also be semi-structured or structured data that a business collects and stores but […]
KNIME Adds New SaaS Features to Automate Analytics Workflows on Community Hub
According to a new press release, KNIME, a software company focusing on user-friendly data handling, has introduced a new Software as a Service (SaaS) offering for its KNIME Community Hub. The KNIME Analytics Platform, an open-source tool, is already available for free, providing full functionality for analytics through an intuitive interface. The KNIME Community Hub […]
AI and Machine Learning Trends in 2024
As we delve deeper into the age of artificial intelligence (AI) and machine learning (ML), it is crucial to stay ahead of the curve by identifying emerging trends that will shape our future. In 2024, several key advancements are set to revolutionize these technologies, paving the way for unprecedented possibilities. One of the top AI […]
ADV Webinar: Data Integration — Newsflash: We Still Just Move Data!
Download the slides here >> This webinar is sponsored by: About the Webinar Data integration is a broad term for data movement. While moving streaming data is increasingly important, and data virtualization and data mesh architectures somewhat lessens the need, straight data movement still comprises the vast majority of cycles for data integration. Are you […]