NoSQL Data Access

The course NoSQL Data Access from SpiralTrain deals with various forms of NoSQL databases, where the data is stored differently than in traditional relational databases.

NoSQL Intro

NoSQL databases are not table oriented and are mainly used to increase the speed of data access and the scalability for large numbers of users. The main types of NoSQL databases are discussed in the course such as wide-columns stores, key-values ​​stores, document databases and graph databases.

Column Oriented Stores

Attention is paid to data storage in Google Big table as an example of a column oriented store. This also includes distributed storage and column families, versioning and null handling.

Key-Value Stores

The operation of Cassandra and Redis as implementations of key-value stores is discussed as well. The use of associative arrays and data storage in the cache is explained.

Document Oriented Stores

Document oriented databases such as MongoDB and CoucheDB are also discussed. The various document formats such as JSON, XML and YAML and their applications are the subject of the course program.

GrapQL Databases

Finally attention is paid to GrapQL databases of which Neo4J is a well-known example. This includes a discussion of Cypher Queries and Path Finding Queries.

Audience Course NoSQL Data Access

The course NoSQL Data Access is intended for developers and other interested parties who want to get to know the possibilities and applications of NoSQL databases.

Prerequisites Course NoSQL Data Access

Knowledge and experience with SQL and approaching relational databases is beneficial for understanding, but not strictly necessary.

Realization Training NoSQL Data Access

The theory is discussed by means of presentations. Illustrative demos are used to clarify the concepts discussed. The theory is interchanged with experimenting with the demos yourself. Course times are from 9.30 to 16.30.

Certification NoSQL Data Access

After successful completion of the course the participants receive an official NoSQL Data Access certificate.

Modules

Module 1 : NoSQL Intro

• Defining NoSQL
• Reasons for NoSQL
• Big Data
• Relational Limitations
• Denormalizing Tables
• Dropping Constraints
• Transactional Guarantees
• Flexible Indexing
• MapReduce Algorithm
• No Single Product
• Query Languages
• Scalability

Module 2 : Column Oriented Stores

• Google Bigtable
• Column Storage
• Handling nulls
• Row Keys
• Ordering
• Column Families
• Fault Tolerance
• Distributed File System
• Versioning Properties
• HBase
• Hypertable
• Cloudata

Module 3 : Key Value Stores

• Key Sets
• Hashmaps
• Associative Arrays
• Unique Combinations
• Easy Lookup
• Berkeley DB
• Memory Cache
• In Memory Snapshot
• Memcached API
• Cache Expiration
• EHCache
• Redis and Cassandra

Module 4 : Document Databases

• What are Documents?
• Semi Structured Data
• Data Formats
• XML, JSON, BSON and YAML
• Schema Adherence
• Record Differences
• Looseley Definition
• HTTP Protocol
• RESTFull Access
• Cross Language Access
• Apache Thrift
• Projections
• MongoDB and CouchDB

Module 5 : Graph Stores

• Graph Modeling
• Property Graph Model
• Node Labels
• Relationship Types
• Neo4J
• Cypher Queries
• Path Finding Queries
• Query Parameters
• Graph Global Operations
• Design for Query Ability
• In Graph Indexes
• Granulate Nodes
• FLockDB