DataOps Engineer is a profession of the future, for which there is already a huge demand and shortage of specialists.
Ok, Data!
Working with data is no longer the domain of giants, but a necessity for any successful business. Any manager must know how to get value out of data. After the course you will be able to write simple SQL queries, compile reports in Power BI, or make a prototype DS project and then join a large team.
Who needs a course?
We'll understand what types of data exist and why they are important to the project. Learn where you can get data, both inside and outside of your project (what data sources exist.) Consider what types of Data Science exist. Compare Data Engineer and Data Analyst positions and learn their main differences, and where their area of responsibility ends and the manager's job begins. We'll conduct a workshop on preparing data for model training using e-commerce as an example.
An in-depth course on the most powerful big data tools. Who this course is for:The course is designed for Data
Learn from real datasets and practice building complete data pipelinesA creative atmosphere and close collaboration with Data Science experts awaits
New Features for Administrators course introduces administrators to new or enhanced features and options. The course consists of two parts. The second part of the course presents five modules : security, data availability, sectioning, data information lifecycle, database operations execution monitoring, performance management.
The program :
- Unified Auditing – Universal Unified Auditing
- New privileges to control data access
- Privilege analysis
- Data Redaction – masking/hiding data
- New features to ensure high availability of data
- Online moving of data files
- Improvement and development of Flashback Data Archive option
- Enhancements in Recovery Manager to provide high availability of data
- Improvements in sectioning
- Heat Map and Automatic Data Optimization – automatic optimization of data lifecycle maintenance
- Real-Time Database Operation – monitoring of operations execution
- New options to increase SQL command performance: Database In-Memory, Full Database In-Memory Caching, Automatic Big Table Caching.
- New options of optimizer: Adaptive Execution Plans, SQL Plan Directives, new types of histograms, extended statistics, Adaptive SQL Plan Management
- Real-Time ADDM
- Compare Period ADDM
- Improvement of Real Application Testing option
- Other improvements in database performance tuning
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