Ansys|91国内精品视频|Matlab|91国内精品久久久|R语言培训课程班-91国内精品久久-曙海培训深圳成都南京苏州杭州

         Cassandra Administration培訓

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