Cassandra Administration with Elasticsearch Certificate for Lester...
Certificate ID:
712223
Authentication Code:
e1260
Certified Person Name:
Lester Dela Cruz
Trainer Name:
Jose Suarez Colindres
Duration Days:
4
Duration Hours:
28
Course Name:
Cassandra Administration with Elasticsearch
Course Date:
13 March 2023 08:00 to 16 March 2023 16:00
Course Outline:
- Section 1: Introduction to Big Data / NoSQL
- NoSQL overview
- CAP theorem
- When is NoSQL appropriate
- Columnar storage
- NoSQL ecosystem
- Section 2 : Cassandra Basics
- Design and architecture
- Cassandra nodes, clusters, datacenters
- Keyspaces, tables, rows and columns
- Partitioning, replication, tokens
- Quorum and consistency levels
- Labs : interacting with cassandra using CQLSH
- Section 3: Data Modeling – part 1
- introduction to CQL
- CQL Datatypes
- creating keyspaces & tables
- Choosing columns and types
- Choosing primary keys
- Data layout for rows and columns
- Time to live (TTL)
- Querying with CQL
- CQL updates
- Collections (list / map / set)
- Labs : various data modeling exercises using CQL ; experimenting with queries and supported data types
- Section 4: Data Modeling – part 2
- Creating and using secondary indexes
- composite keys (partition keys and clustering keys)
- Time series data
- Best practices for time series data
- Counters
- Lightweight transactions (LWT)
- Labs : creating and using indexes; modeling time series data
- Section 5 : Cassandra Internals
- understand Cassandra design under the hood
- sstables, memtables, commit log
- Section 6: Administration
- Hardware selection
- Cassandra distributions
- Cassandra Nodes Communication
- Writing and Reading data to/from the storage engine
- Data directories
- Anti-entropy operations
- Cassandra Compaction
- Choosing and Implementing compaction strategies
- Cassandra best practices (compaction, garbage collection,)
- Creating a test Cassandra instance with low memory footprint
- Troubleshooting tools and tips
- Lab : students install Cassandra, run benchmarks
- ELASTISEARCH
-Introduction to Elasticsearch
-Architecture of Elasticsearch : Sharding, Index Management / Defining Mappings
-Mappings : CRUD and relationship to documents/indices,Data Types,Dynamic Field Mappings, Index Templates
-Writing Search queries
-Administration: Monitoring, Deployment,Maintenance and basic optimization