Streaming and Data Analytics in Big Data
1. Introduction
The following is items of this course:
- Understand collect, process and store for streaming Big Data
- Can use Apache Spark for Analytic
- Have deep knowledge in Spark debug
- Setup, deploy and use analytic tools
- Setup and use BI tool
2. Training Targets
- Help trainees to acquaint with Big Data Streaming
- Setup analysis tools and can apply some common analytises
- Familiar with BI tool
3. Knowledge and Skills gained after the course
- Be cconfident to build streaming system
- Can apply some common analytis logics in business
- Use BI Tool for data analytis
4. Career Opportunities
- Can do streaming and analytis in Big Data System
5. Training Period
- Training time is 72 hours
- The Schedule is Saturday - Sunday, from 15:30 to 18:30
- Fee: 3.200.000 VNĐ
6. Target
You want to work in Big Data Technology
7. Requirements
- Basic in Relational Database (ex: MySQL)
- Basic in Big Data system about Hadoop, Hive
- Basic in Data Proccess by Apache Spark
- Basic in Linux (ex: Ubutu)
8. Content
I. Streaming with Apache Spark and Kafka, Redis
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1. Kafka, Redis basic and deployment
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2. How to Spark works with Kafka
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3. Streaming data and collection
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4. Data Process and storage
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5. Redis and data storage for streaming
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II. Big data Analysis with Apache Spark
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1. Big Data Strategies in business
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2. Use Spark to perform Data Analysis
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3. Use Parallel Programming to explore data sets
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III. Analysis Tools
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1. Excel
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2. Setup Jupyter Notebook
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3. Use Jupyter Notebook for some analytics such as Cohort, Segment, Insight...
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4. Setup and deploy Apache Superset
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5. Use SuperSet to manage and data analytis
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IV. Multi-dimensional analysis (OLAP) on Hadoop/Spark
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1. Dimensions
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2. Cube
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3. Aggregation Groups
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4. Analysis
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5. Data Visualization
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9. Materials
10. Study Method
- 100% study directly on computer, each student studies on a computer.
- 2 sessions of theory & 1 practice session in alternating order (Lab exercises / Activities)
11. Evaluation
- Examination form: theory (multiple choice) and practice (on computer)
- http://exam.b4usolution.com/Satisfactory score is greater than or equal to 45%
12. After completing, you can:
- Involve any analytic Projects in Big Data
Hình thức thu học phí:
- Chuyển khoản: Vietcombank: Số tk: 0071003095741, Lê Thị Bích Hòa, chi nhánh Kỳ Đồng, Quận 3, Tp.HCM
- Đóng trực tiếp tại: 122, Đường B2, Phường An Lợi Đông, Quận 2, Thành Phố Hồ Chính Minh, Gặp chị Việt. Phone/Zalo: 0379887449 (9:00AM – 6:00PM)