Course NoSQL Data Access

  • Content
  • Training
  • Modules
  • General
  • Reviews
  • Certificate
  • Course NoSQL Data Access : Content

    The course NoSQL Data Access 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.

  • Course NoSQL Data Access : Training

    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.

    NoSQL Data Access course
  • Course NoSQL Data Access : Modules

    Module 1 : NoSQL Intro

    Module 2 : Column Oriented Stores

    Module 3 : Key Value Stores

    Defining NoSQL
    Reasons for NoSQL
    Big Data
    Relational Limitations
    Denormalizing Tables
    Dropping Constraints
    Transactional Guarantees
    Flexible Indexing
    MapReduce Algorithm
    No Single Product
    Query Languages
    Google Bigtable
    Column Storage
    Handling nulls
    Row Keys
    Column Families
    Fault Tolerance
    Distributed File System
    Versioning Properties
    Key Sets
    Associative Arrays
    Unique Combinations
    Easy Lookup
    Berkeley DB
    Memory Cache
    In Memory Snapshot
    Memcached API
    Cache Expiration
    Redis and Cassandra

    Module 4 : Document Databases

    Module 5 : Graph Stores

    What are Documents?
    Semi Structured Data
    Data Formats
    Schema Adherence
    Record Differences
    Looseley Definition
    HTTP Protocol
    RESTFull Access
    Cross Language Access
    Apache Thrift
    MongoDB and CouchDB
    Graph Modeling
    Property Graph Model
    Node Labels
    Relationship Types
    Cypher Queries
    Path Finding Queries
    Query Parameters
    Graph Global Operations
    Design for Query Ability
    In Graph Indexes
    Granulate Nodes
  • Course NoSQL Data Access : General

    Course Forms

    All our courses are classroom courses in which the students are guided through the material on the basis of an experienced trainer with in-depth material knowledge. Theory is always interspersed with exercises.


    We also do custom classes and then adjust the course content to your wishes. On request we will also discuss your practical cases.

    Course times

    The course times are from 9.30 to 16.30. But we are flexible in this. Sometimes people have to bring children to the daycare and other times are more convenient for them. In good consultation we can then agree on different course times.


    We take care of the computers on which the course can be held. The software required for the course has already been installed on these computers. You do not have to bring a laptop to participate in the course. If you prefer to work on your own laptop, you can take it with you if you wish. The required software is then installed at the start of the course.


    Our courses are generally given with Open Source software such as Eclipse, IntelliJ, Tomcat, Pycharm, Anaconda and Netbeans. You will receive the digital course material to take home after the course.


    The course includes lunch that we use in a restaurant within walking distance of the course room.


    The courses are planned at various places in the country. A course takes place at a location if at least 3 people register for that location. If there are registrations for different locations, the course will take place at our main location, Houten which is just below Utrecht. A course at our main location also takes place with 2 registrations and regularly with 1 registration. And we also do courses at the customer’s location if they appreciate that.


    At the end of each course, participants are requested to evaluate the course in terms of course content, course material, trainer and location. The evaluation form can be found at https://www.klantenvertellen.nl/reviews/1039545/spiraltrain?lang=en. The evaluations of previous participants and previous courses can also be found there.


    The intellectual property rights of the published course content, also referred to as an information sheet, belong to SpiralTrain. It is not allowed to publish the course information, the information sheet, in written or digital form without the explicit permission of SpiralTrain. The course content is to be understood as the description of the course content in sentences as well as the division of the course into modules and topics in the modules.

  • Course NoSQL Data Access : Reviews

  • Course NoSQL Data Access : Certificate