Long before there was big data, there were computing solutions designed to store, organize, and analyze data. But just like the job of a big data architect, it’sboth bigger anddifferent thanthat of other data architects, so too is thejobof the solutions…
Continue reading Selecting a Big Data Solution: Top 10 Questions to Ask
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
Whether your database needs to run on a mobile device or scale to a humongous size, this post has you covered with CouchDB vs. MongoDB. One of these databases can run on your phone while the other is prepared for…
The battle of the NoSQL databases continues. We first analyzed Cassandra vs MongoDB. This time we will dig in Redis vs MongoDB.Redis is an in-memory database that has been benchmarked as the fastest database in the world, while MongoDB is…
In today’s fast-paced competitive market, there are critical advantages to utilizing infrastructure-as-a-service, especially for businesses concerned about fast-tracking their analytics infrastructure. IaaS goes beyond simply virtualizing infrastructure and adds a software management layer to allocate resources, either automatically or by…
Continue reading The Rise of Infrastructure as a Service (IaaS)
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…
Data warehouse technologies are advancing towards interactive, real-time, and analytical solutions. In particular, cloud-based data warehouse technologies have reached new heights with the help of modern tools like Amazon Athena and Amazon Redshift.Comparing Athena to Redshift is not simple. Amazon…
Continue reading Athena vs Redshift: An Amazon Battle of Performance and Scale
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…
On Feb 28th, Amazon Web Services (AWS), went down for approximately 4 hours. The outage occurred in Amazon’s US-East-1 facility in Virginia, their biggest region, and disrupted business continuity for some of the world’s most popular web services, including Docker,…
Continue reading Lessons Learned From The Recent Amazon S3 Outage
