Free training spotlight: Implementing big data analytics in Azure
February 20, 2018 | By Jordan Schwartz, TEKsystems Digital Marketing Specialist
We posted recently about how IT pros can capitalize on trends that tech leaders are investing in, such as AI and big data.
Data scientists, analysts and statisticians are a hot commodity in the IT world right now, as companies seize the power of their data to develop new strategies, save money and target marketing dollars at appropriate customers (among many other use cases).
If you’re a self-titled data nerd or interested in learning more about a data-centric role, consider enrolling in the recently released Skillsoft course that dives deep into analyzing data within Microsoft Azure. This intermediate-level course is intended for professionals who design and implement big data analytics solutions. For those seeking certifications to advance their careers, you can use the training to prepare for Microsoft's Designing and Implementing Big Data Analytics Solutions exam, which counts toward your MCSA in Azure, or one of the MCSE modules.
Free Skillsoft big data in Azure courses include:
- Ingesting Data and Computing for Batch Processing
- Designing Batch Processing and Data Security
- Ingesting Data and Computing for Real-time Processing
- Designing the Lambda Architecture and Real-time Processing
- Provisioning an Azure Data Factory
- Managing Activities and Data for Azure Big Data Analytics
- Automation and Machine Learning
TEKsystems values our consultants and their careers, and we offer a huge variety of free training to help you gain skills and thrive in a fast-changing IT job market. Through our partnership with Skillsoft, you have over 5,000 courses and 37,000 videos at your disposal. You can access these courses, as well as information about your current assignment and all TEKsystems job opportunities (over 3X what we post publicly), through your Community profile. If you haven't accessed the portal yet and need help, ask your recruiter to re-send your unique login.