NH Learning Solutions Blog
Microsoft Certification Spotlight - MCSE: Database Management & Analytics
In March of 2017, Microsoft retired its MCSE: Data Platform credential and replaced it with the MCSE: Database Management & Analytics.
Top 5 IT Trends of 2017
IT is a rapidly changing industry, with many new demands and trends coming into practice with each new year. 2016 saw lots of innovation in cloud and virtual machines. With the start of 2017, some things stayed the same but many changes were still being made to many products and programs. Now, as it edges closer to the middle of the year, the upgrades are in and the demand is great. Here are 5 big IT trends that are gaining speed in 2017.
4 Big Data Business Challenges
Often Big Data has been talked about as a “problem” because it couldn’t be easily processed with traditional systems based on relational databases, but it really is a tremendous opportunity to enhance and even transform how you run your business. The value of Big Data can be significant.
Key Benefits of the Microsoft Access Database
A spreadsheet program like Microsoft Excel is a terrific tool for maintaining and calculating small sets of information. Excel is easy to understand and easy to use. You can sort, filter and format the data quickly and easily. But spreadsheets are not ideal for handling hundreds of records when creating an important file for a client, a contact or an executive. It’s very easy to make errors in a spreadsheet, which then makes analysis, summing and reporting very challenging.
Big Data Analytics with PowerPivot & Power View
In an effort to be more user-centric, Microsoft has evolved its approach to business intelligence, offering user-friendly Excel add-ins such as PowerPivot and Power View. One advantage of putting more power into the hands of business end users is that these are the individuals who are most familiar with the data and stand to gain the most by learning from it. Excel is a useful tool for numerous purposes, but it has limitations, particularly when working with large sets of data.