Data Warehouse VS Data Lake Data Warehouse (DWH) is a convenient solution for enterprises and organizations, the principles of which we decided to cover in our today’s article. Based on our own experience in building data warehouses for financial institutions, we will also try to present all the benefits of using DWH as clearly as possible, as well as compare it with its “competitor” – cloud storage. The data warehouse is a subject-oriented information database that is…
Data volumes are increasing at an accelerated pace every year. The number of streaming data has increased significantly, and unstructured data is increasingly eclipsing its structured counterparts. As a result, a business that works with large databases has to process information before loading, which requires a lot of time and effort. But all the same, in the end, some of the information is lost, but or could be useful in the future. And an innovative product is called upon…
While we say data lake vs. data warehouse, these two technologies are actually quite complimentary. Read on to see why. Data lakes and data warehouses are critical technologies for business analysis, but the differences between the two can be confusing. How are they different? Is one more stable than the other? Which one is going to help your business the most? This article seeks to demystify these two systems for handling your data. What Is…
In a story I wrote earlier this year, I referenced how data protection can actually empower a new generation of app development. As part of this, I said that there’s no reason the backup function can’t play a vital role in helping companies drive innovation. How can backups help? I asserted that backups in a platform could be put to the following uses: Creating a metadata catalogUsing data crawlsEstablishing better search functionality within the dataServing as a…
Digital transformations often require real-time business processes driven by data from operational, historical and streaming sources. I’ve noticed that data and analytics leaders often use the terms “data warehouses,” “data lakes” and “data hubs” interchangeably, which can confuse nonspecialists seeking to understand their differences and the roles they play in digitally transformed businesses. Vendors often contribute to this confusion by positioning them as competing approaches, which can lead to deploying the wrong technology for an…
Data lakes are cool, but you don’t have to jump in head-first. It’s easy to start by dipping a toe: Integrating a legacy data warehouse into a data lake leverages the structured systems that have been built over the years while taking advantage of the ever-increasing volume of unstructured data across the organization. A Familiar Structure Data warehouses are familiar. Generally, IT teams know how to work with them. Over the past two decades, companies…
