In today’s data-driven world, effective Data Management is essential for the successful implementation of any project or business initiative. Data Management solutions play a crucial role in this process by providing comprehensive tools and capabilities to handle vast amounts of data efficiently and accurately. One key aspect of successful implementation is ensuring the availability and […]
Managing Data as a Product: What, Why, How
The concept of managing “data as a product” involves a paradigm shift. By treating data as a product designed for consumer use, rather than a pool of semi-chaotic information, businesses can increase their profits. Many businesses have set up customized data pipelines – or other extreme and expensive steps – in unsuccessful efforts to maximize the […]
Machine Learning Use Cases for Data Management
In 2023, machine learning (ML) is a powerful enabler for Data Management, revolutionizing the way organizations handle and analyze vast amounts of data. ML, a subset of artificial intelligence (AI), offers various approaches to tackle Data Management challenges. With the ever-increasing “volume, velocity, and variety of data” being generated today, traditional methods of Data Management have become […]
Core Data Concepts for Digital Transformation
Without a clear understanding of core data concepts, communications around implementing an organizational Data Management initiative can become a muddle. As different teams come together to plan and organize data activities, they must integrate what they mean about data with any technologies. For example, take the term “Data Governance.” Data engineers building systems and tools to enable […]
DAS Webinar: Data Quality Best Practices
Download the slides here>> This webinar is sponsored by: About the Webinar Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join […]
NoSQL vs. SQL: Five Key Differences
NoSQL and SQL are the two primary forms of database used to store and manage digital data, with each providing key differences that support advantages and disadvantages. SQL deals with relational databases and NoSQL deals with non-relational databases. Both methods store data effectively but differ dramatically in their scalability, relationships, language, and database design. Understanding […]
Data Literacy 101
From social media to online shopping, data is generated and collected at an unprecedented rate. In the current data-powered society, it is crucial to be able to understand and interpret all types of data. Data literacy – the ability to read, analyze, and communicate with data – is crucial to use the power of data. […]
RWDG Webinar: One Data Governance for All – Master Data Included
Download the slides here>> This webinar is sponsored by: About the Webinar Maybe you believe that there is something called Master Data Governance, and that it is significantly different than any other form of active Data Governance. More generalized Data Governance can be targeted at any subset of data – for example … by […]
Soda Demo: Empowering Everyone to Take Charge of Data Quality
Download the slides here>> In today’s fast-paced and interconnected world, data is critical to everyone’s work. However, the burden for maintaining data quality often gets passed around like a hot potato, as no single person or team is solely accountable. As the need for reliable and trustworthy data increases, we must change that. But […]
Anomalo Demo: Is Your Data Late, Wrong, or Weird? Data Quality With Anomalo
Is your data late, wrong, or weird? Data Quality with Anomalo. Improving data quality in your organization means having a plan to deal with different types of data issues. Many tools on the market only focus on “late” data by providing observability into pipelines. Anomalo does this well but also provides insight into deeper […]