Through conceptual presentation, demonstration and extensive hands-on labs and exercises, this 3-day instructor-led course guides developers, architects and DBA's on storing and accessing data rapidly and at web scale, in diverse document-database use cases based on JSON, using Couchbase Server, N1QL, and related technologies. All labs rely on queries in N1QL without dependency on any particular application programming language. The course is aimed at developers, architects, analysts, SQL and Oracle Developers, DBAs, data warehouse and business intelligence admins and analysts, and DevOps professionals.
The hands-on labs (usually 60% of class time) get you real-world "flight-time" modeling NoSQL data using best practices for JSON and key/value, creating and exploiting secondary indexes, performing complex aggregations using map-reduce Views, and becoming capable with N1QL as a basis for developing powerful, scalable, and reliable applications using NoSQL data, in any programming language.
Introduction to NoSQL
- Discuss the modern application challenges
- Describe Big Data
- Describe the common strategies for handling Big Data
- Explain CAP Theorem
- Differentiate Hadoop and NoSQL
- Explain different types of NoSQL
- Describe Polyglot Programming
Introduction to Couchbase
- Describe the history of Couchbase server
- Describe Couchbase Data Platform
- Explain how data is stored in Couchbase server
- Describe Couchbase server architecture [Single Data Node]
- Describe the anatomy of a Couchbase application
- Explain Multi Dimensional Scaling
- Describe Tools to Integrate with Couchbase
- Explain Couchbase SDKs
- Select documents and limiting results
- Explain Aliasing, concatenating, and selecting by keys
- Create indexes and filter queries
- Describe Querying ranges, ordering results, and explaining queries
- Describe Aggregating, distinct values, and filtering with wildcards
- Select for missing attributes, and group results
- Index and select based on values in JSON arrays
- Use functions in queries
- Join documents
Indexes in N1QL
- Describe the various Index Options
- Explain Index Partitioning
- Explain Alter Indexes
- Explain index service capacity management
- Explain Memory Optimized Indexes
Query Planning and Tuning
- Describe query planning
- Explain the data source access methods
- Explain index selection in N1QL
- Explain pushdowns
- Explain the best practices in index tuning
- Explain query tuning in N1QL
- Describe the query tuning checklist
- Describe an event
- Explain the traditional ways of listening to events
- Explain Couchbase Eventing
- Describe Functions
- Explain the Functions Terminology
- Demonstrate Deploying and Un-deploying Functions
Introduction to Data Modeling
- Describe Data Modeling
- Explain Data Modeling for Distributed Systems
- Explain Formal Data Modeling
- Learn the Data Models Used In The Course
Data Modeling for Couchbase
- Describe JSON Document Design
- Explain Data Nesting
- Explain Key Design
- Explain the various Trade-offs in Data Modeling
Query Monitoring, Troubleshooting and Auditing Couchbase N1QL
- Describe query monitoring
- Describe REST endpoints in N1QL
- Describe vitals in N1QL
- Describe Monitoring and Security Catalogs
- Describe profiling
- Explain profiling usage
Role Based Access Control, N1QL Tools and Other Tricks
- Explain Role Based Access Control in N1QL
- Explain pretty setting in CBQ
- Explain updating of nested arrays
- Explain cURL in N1QL
- Explain how a N1QL query is processed
- Explain the execution of a N1QL query
- Describe the various phases of a N1QL query
- Describe capacity management of a query node
- Explain how the Couchbase View Engine works
- Learn how to write Map functions to implement an index on a bucket
- Learn how to write Reduce functions to implement aggregation
- Explain how grouping works with Couchbase Views
- Explain options for working with keys
Appendix A - Couchbase Java SDK Synchronous API
- Explain the Couchbase Java SDK
- Access bucket-level metadata
- Perform CRUD operations
- Use CAS for optimistic locking
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