Mastering Elasticsearch and Kibana for Real Time Data Analysis
About This Course
The WSQ Mastering Elasticsearch and Kibana for Real Time Data Analysis course equips participants with the skills to manage, analyze, and visualize large datasets using the Elasticsearch and Kibana platforms. Learners will review data requirements, ingest data into Elasticsearch, and explore Elastic Stack components, including architecture, indexing, and document management. This course offers hands-on experience in data ingestion, cluster setup, and data import using Elasticsearch, enabling participants to load and prepare data for analysis.
Participants will master data transformation techniques, ensuring data quality through cleansing and filtering using Elasticsearch. Learners will apply mapping, indexing, and search query skills to structure data for analytics. The course also covers data analysis and visualization using Kibana, where participants will resolve data preparation issues and create analytical reports. By the end of the course, learners will be proficient in developing real-time data visualizations, dashboards, and insightful reports using the Elastic Stack.
What You'll Learn
LO1: Review data requirements and load relevant data into Elasticsearch platform
LO2: Cleanse and transform data using Elasticsearch by ensuring quality to meet analytical requirements.
LO3: Resolve data preparation issues and create analytical reports using Kibana.
Topics Covered:
LU1: Data Ingestion
Topic 1: Introduction of Elastic Stack
Topic 2: Cluster Architecture
Topic 3: Indexing & Document Management
LU2: Data Transformation
Topic 4: Mappings & Analysis
Topic 5: Searching & Queries
LU3: Data Analysis and Re-porting
Topic 6: Aggregations
Topic 7: Data Visualization with Kibana
Entry Requirements
Knowledge and Skills
• Able to operate computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience.
Target Year Group : 21-65 years old