Data as a Service (BDaaS) is a reality today. Increasing cloud usage, and new cloud services, mean you can set up data infrastructure that just works—without maintaining servers and with minimal setup and integration.Organizations undergoing digital transformation need to understand…
Continue reading Data Platform As A Service: IaaS, PaaS And SaaS
Just ten years ago, even the most advanced analytics professionals only had to manage a handful of data sources. But data volume, velocity, and variety are now increasing exponentially.In 2016, IBM estimated that 90% of the world’s data had been…
Continue reading Data Warehousing Concepts: Everything You Need to Know in 4 Minutes
Humans are visually motivated. When we see a movie, we’re drawn to the most beautiful and exotic settings, the most striking and recognizable actors, the biggest explosions. What we don’t spend a lot of time thinking about is the work…
Continue reading Business Intelligence and Data Warehousing Meet: Magic Ensues
As an analyst who deals with data from many data sources daily, you might find yourself as the go-to source for information about business intelligence in your office. While it’s cute when your grandma asks about what it is you…
Continue reading 9 Things Your Boss Wants to Know About Data Warehousing
Three days, over ten thousand attendees, forty hours of content and at least five things happening at once. Welcome to SaaStr Annual! We’ve been scouring the official schedule for the coolest SaaStr events and dedicated many nights and mornings taste…
Continue reading How To Rock SaaStr Annual And SF Like A Pro (Also: #DataParty!)
As a member of the marketing team you already know that data is power. However, it’s not always easy to get, and even when you can get the data you need, it’s not always easy to understand, analyze, interpret and…
Continue reading A Marketing Professional’s Guide to Collecting Twitter Data
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
Is it easy to connect to a data warehouse? Selecting the right tool can help make this connection attainable. Tableau Desktop makes this connection easy, from opening the software to connecting to the five selected data warehouses. Tableau uses the…
In the past, designing a data warehouse and data warehouse architecture has taken too long to complete. Executing numerous semi-automated steps results in a data warehouse that was limited and inflexible. This limitation caused businesses to seek out other solution…
Continue reading The Basics Of Automated Data Warehouse Lifecycle Management
There’s no question that the cloud offers many potential benefits. Major companies everywhere are lining up to reap the benefits by moving their back-office systems to cloud-based data warehouse platforms.Historically, company data was stored locally on magnetic hard drives or…
Continue reading Enterprises Eye Big Benefits from Cloud Data Warehouses
