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
Organizations looking to leverage big data impose a larger and different set of job requirements on their data architects versus organizations in traditional environments.If you want to become a great big data architect, and have a great understanding of data…
Continue reading How To Become a Big Data Architect: A Guide
We tend to take it for granted that big data is changing the world, but how exactly does that happen? Data scientists and data engineers are key players in the field of data utilization, and their different roles shape the…
Continue reading Data Engineer vs Data Scientist: Key Differences Explained
Let’s talk about data. The sheer volume of the data collected today is enormous. When I try to even imagine the amounts…it’s staggering.And the amount is growing day by day, as is the analytics involved. I find it’s tough to…
The demand for skilled Data Engineers (or Big Data Engineers) is projected to rapidly grow. No wonder that’s the case: no matter what your company does, to succeed in today’s competitive environment, you need a robust infrastructure to both store…
It is an exciting time for cloud data warehousing with significant disruptions expected throughout 2017. As Gartner, in March 2016, showed, warehousing enterprises continue to race against one another to deliver both cloud solutions and hybrid offerings.While Amazon Redshift is…
For many organizations, their ability to collect data has long surpassed their ability to organize it quickly enough for analysis. As companies of all sizes are increasingly pressured to leverage Big Data to power business intelligence, data engineers are going…
A pipeline finishes successfully, but the revenue dashboard shows yesterday’s numbers. A source system adds a field, and a report breaks. A larger warehouse clears the backlog, then leaves you with a bill nobody expected.These data engineering challenges involve more…
Continue reading 5 Common Data Engineering Challenges and How to Solve Them
Data analyst? You must be familiar with both Tableau and AWS Redshift. And you must know, or at least you should believe me that integrating the Redshift columnar-based database speed with the mature, rich and interactive Tableau creates an awesome…
Continue reading Tableau & Redshift: How to Visualize Amazon Redshift Data
The basic free Google Analytics (GA) functionality is great for small and medium websites and mobile applications, but as your online business expands, you will start looking to get more of this data. However, GA lacks advanced capabilities such as…
Continue reading Step-by-Step: Loading Data from Google Analytics to Redshift
Amazon re:Invent is a great place to gather feedback from industry professionals, and especially gauge cloud-industry trends. This past year, we used the opportunity to collect and analyze statistics disclosed by industry professionals surveyed at our booth. The results reveal…
Continue reading Future Of Data Warehousing Is Cloud: This Survey Proves It
Attendance at this year’s AWS re:Invent conference almost doubled, from 18,000 people last year to 32,000 people last week. The large, international cloud computing event attracted professionals from all types of industries, including financial services, healthcare, gaming, and others interested…
Continue reading Data-Oriented Takeaways from AWS re:Invent 2016: Query S3, Batch, Glue and More
