The data industry continues to impress with new tools being released every month. While we all love choices, the current data stack landscape can be overwhelming. We’re here to help separate the players from the wanna-bes and have created a…
Continue reading Top 10 Tools For A Dangerously Effective Data Stack In 2018
Data analytics allows organizations to gain insight into their business operations and find new ways to increase their revenue. However, the data sources used to provide these insights are often located in different places and accessing them can be problematic.…
Continue reading Enterprise Data Warehousing Vs Data Virtualization: The Battle
ed. note: The latest data warehouse trends report is now available. Download it today.re:Invent, Amazon Web Services’ yearly conference for data scientists, analysts and business intelligence (BI) professionals, provides information, direction, and guidance for businesses and industries that use data…
Continue reading Three Data Warehousing Trends From AWS Re:Invent 2017
Data warehouses and data lakes are two different types of data storage repositories. Data warehouses integrate data from various sources and structures them for business reporting. Data lakes store raw structured and unstructured data in whatever form the data source…
Continue reading Key Differences Between a Data Warehouse and a Data Lake
TL;DR — whether you were there or not, these interesting tweets provide food for thought until #Data18.The learning continues #data17 #tc17 pic.twitter.com/FMgK4lk68XContinue reading Top Tweets From Tableau Conference, #Data17
