On October 3rd, Cloudera and Hortonworks announced their merger, a huge and highly significantly announcement in the big data space. Big data has slowed down since some of its hype passed by and really left only two big players in the market, Cloudera and Hortonworks. Both companies are known for reducing the complexity of Hadoop and implementing a Hadoop ecosystem in your organization. They have packaged it up for IT departments who wanted a big data ecosystem but didn’t want the hassle of open-source Hadoop along the way.
There are many organizations like yours that are trying to figure out how to take that first step into the cloud this year. Maybe it will help to hear what we are seeing our customers make the highest priority as they are moving into the cloud.
Are you interested in learning how to leverage Azure Functions to create an app that can scale to demand? In a recent webinar, Sr. BI Consultant, Joshuha Owen, discusses and demos how to build a scalable application with Azure functions and things to think about as far as scaling an application. The demo will not only walk through the process of building an application in Azure, but also how to create a Power BI report that utilizes what the application produces.
So, your boss says, ‘Let’s do big data!’ And you think: ‘I don’t even know what that means or what I have to do. Do I need big data? Do I need a bunch of servers?’ These are the questions we hear all the time.
In speaking with customers who are using Big Data for analytics, we found clients who love it and some that don’t. These clients are having struggles that are leading them to thoughts of abandoning it. In this edition of Azure Every Day, I want to share a few of these challenges so you can identify them in your environment and hopefully avoid them.
We are proud and excited to announce that Clutch, a B2B ratings and review firm out of Washington D.C., has named Pragmatic Works a top Global Leader in IT Services 2017 in 3 categories: Top Cloud Consultants, Top Big Data Consultants and Top Staff Augmentation!
There are many reasons why your company should strongly consider using Azure SQL DW. However, the point of this post to convince you – the developer, consultant, architect, and/or accidental-DBA – that you should start getting familiar with Azure SQL DW for one simple and hefty reason — Big Data.