Tag: data warehouse

Unlocking the Power of Data: How Data Warehousing Can Transform Your Business

Data is everywhere. Look around; it is all data. It’s entrenched in almost every aspect of our lives, and it’s becoming increasingly important to organizations of all sizes. /sas-certification/ But what many don’t realize is that how you manage, access, and use your data can make or break your organization’s success. This is where data … Continue reading Unlocking the Power of Data: How Data Warehousing Can Transform Your Business →

How to Reboot Your Company’s Data, Analytics, and AI Progress using DW Services?

It is time for organizations in the Fortune 1000 to reevaluate their investments in data, analytics, and artificial intelligence. Investing in essential business competencies and factors that set a company apart from its competitors is a no-brainer for businesses. What they need to take a closer look at is how they are investing, and whether … Continue reading How to Reboot Your Company’s Data, Analytics, and AI Progress using DW Services? →

The Complexity of Modern Data Environments

Most enterprises today lock away data behind multiple silos. When most people think of these silos, data marts and other old school data architecture approaches usually come to mind. But the modern cloud environment has made things much more complex. Fractured, siloed data environments are not beneficial to any business looking to actually drive value … Continue reading The Complexity of Modern Data Environments →

The Definitive Guide to Data Warehouse vs. Data Lake vs. Data Lakehouse

Struggling to harness data sprawl, CIOs across industries are facing tough challenges. One of them is where to store all of their enterprise’s data to deliver robust data analytics. There have traditionally been two storage solutions for data: data warehouses and data lakes. Data warehouses mainly store transformed, structured data from operational and transactional systems, … Continue reading The Definitive Guide to Data Warehouse vs. Data Lake vs. Data Lakehouse →

Best Tools and Practices for Data Warehouse Concurrency

Consistent databases and performant data warehouses are essential when working with big data. Data warehouse concurrency refers to a setup where many users can work simultaneously so that business intelligence can be performed in real-time and on a large scale. It’s the cornerstone for good data quality, solid evaluation, and creating a user-friendly data platform. … Continue reading Best Tools and Practices for Data Warehouse Concurrency →

Data Warehouse vs Data Lake: Differences Explained

We experience the great impact of data both on our lives and business. Huge amounts of information if used correctly can be a key to success. But those great amounts of data must be stored and analyzed in an effective way. /sas-certification/ In this article, we'll highlight the role of data for modern businesses and … Continue reading Data Warehouse vs Data Lake: Differences Explained →