Certificate in Data Scaling: Actionable Knowledge
-- ViewingNowThe Certificate in Data Scaling: Actionable Knowledge is a comprehensive course designed to equip learners with essential skills for career advancement in the data industry. This certificate program focuses on the importance of data scaling, a critical aspect of data management that ensures applications and databases function effectively as data volume increases.
4,793+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
ๅ ณไบ่ฟ้จ่ฏพ็จ
100%ๅจ็บฟ
้ๆถ้ๅฐๅญฆไน
ๅฏๅไบซ็่ฏไนฆ
ๆทปๅ ๅฐๆจ็LinkedInไธชไบบ่ตๆ
2ไธชๆๅฎๆ
ๆฏๅจ2-3ๅฐๆถ
้ๆถๅผๅง
ๆ ็ญๅพ ๆ
่ฏพ็จ่ฏฆๆ
โข Unit 1: Introduction to Data Scaling โ Fundamentals of data scaling, importance, and benefits.
โข Unit 2: Data Preprocessing โ Data cleaning, normalization, and transformation techniques.
โข Unit 3: Horizontal Data Scaling โ Methods and strategies for scaling data horizontally.
โข Unit 4: Vertical Data Scaling โ Approaches for scaling data vertically, including partitioning and sharding.
โข Unit 5: Distributed Systems โ Overview of distributed systems, components, and architectures.
โข Unit 6: NoSQL Databases โ Introduction to NoSQL databases and their role in data scaling.
โข Unit 7: Cloud-based Data Scaling Solutions โ Exploring cloud services for data scaling, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).
โข Unit 8: Data Scaling Best Practices โ Guidelines, tips, and recommendations for effective data scaling.
โข Unit 9: Data Scaling Tools and Technologies โ Examining popular data scaling tools, including Apache Hadoop, Apache Spark, and Kubernetes.
โข Unit 10: Data Scaling Case Studies โ Real-world examples of successful data scaling implementations.
่ไธ้่ทฏ
- Data Engineer: Focuses on the design, construction, and maintenance of data architectures.
- Data Scientist: Combines programming, statistical analysis, and machine learning to derive insights.
- Data Analyst: Collects, processes, and performs statistical analyses on data to provide reports and visualizations.
- Business Intelligence Developer: Translates business needs into data-driven solutions.
- Blue: Data Engineers (35%)
- Pink: Data Scientists (30%)
- Green: Data Analysts (25%)
- Orange: Business Intelligence Developers (10%)
- Data Engineers: ยฃ35,000 - ยฃ75,000
- Data Scientists: ยฃ32,000 - ยฃ72,000
- Data Analysts: ยฃ24,000 - ยฃ45,000
- Business Intelligence Developers: ยฃ25,000 - ยฃ55,000
- Cloud computing (AWS, Azure, Google Cloud Platform)
- Python, R, and SQL programming languages
- Hadoop and Spark frameworks
- Machine learning and statistical analysis
ๅ ฅๅญฆ่ฆๆฑ
- ๅฏนไธป้ข็ๅบๆฌ็่งฃ
- ่ฑ่ฏญ่ฏญ่จ่ฝๅ
- ่ฎก็ฎๆบๅไบ่็ฝ่ฎฟ้ฎ
- ๅบๆฌ่ฎก็ฎๆบๆ่ฝ
- ๅฎๆ่ฏพ็จ็ๅฅ็ฎ็ฒพ็ฅ
ๆ ้ไบๅ ็ๆญฃๅผ่ตๆ ผใ่ฏพ็จ่ฎพ่ฎกๆณจ้ๅฏ่ฎฟ้ฎๆงใ
่ฏพ็จ็ถๆ
ๆฌ่ฏพ็จไธบ่ไธๅๅฑๆไพๅฎ็จ็็ฅ่ฏๅๆ่ฝใๅฎๆฏ๏ผ
- ๆช็ป่ฎคๅฏๆบๆ่ฎค่ฏ
- ๆช็ปๆๆๆบๆ็็ฎก
- ๅฏนๆญฃๅผ่ตๆ ผ็่กฅๅ
ๆๅๅฎๆ่ฏพ็จๅ๏ผๆจๅฐ่ทๅพ็ปไธ่ฏไนฆใ
ไธบไปไนไบบไปฌ้ๆฉๆไปฌไฝไธบ่ไธๅๅฑ
ๆญฃๅจๅ ่ฝฝ่ฏ่ฎบ...
ๅธธ่ง้ฎ้ข
่ฏพ็จ่ดน็จ
- ๆฏๅจ3-4ๅฐๆถ
- ๆๅ่ฏไนฆไบคไป
- ๅผๆพๆณจๅ - ้ๆถๅผๅง
- ๆฏๅจ2-3ๅฐๆถ
- ๅธธ่ง่ฏไนฆไบคไป
- ๅผๆพๆณจๅ - ้ๆถๅผๅง
- ๅฎๆด่ฏพ็จ่ฎฟ้ฎ
- ๆฐๅญ่ฏไนฆ
- ่ฏพ็จๆๆ
่ทๅ่ฏพ็จไฟกๆฏ
่ทๅพ่ไธ่ฏไนฆ
