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Learning by doing
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Trainers with practical experience
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Classroom training
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Detailed course material
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Clear content description
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Tailormade content possible
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Training that proceeds
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Small groups
The course NoSQL Data Access deals with various forms of NoSQL databases, where the data is stored differently than in traditional relational databases.
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.
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.
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 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.
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.
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.
Knowledge and experience with SQL and approaching relational databases is beneficial for understanding, but not strictly necessary.
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.
After successful completion of the course the participants receive an official NoSQL Data Access certificate.
Module 1 : NoSQL Intro |
Module 2 : Column Oriented Stores |
Module 3 : Key Value Stores |
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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 |
Google Bigtable Column Storage Handling nulls Row Keys Ordering Column Families Fault Tolerance Distributed File System Versioning Properties HBase Hypertable Cloudata |
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 |
Module 5 : Graph Stores |
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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 |
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 |
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.
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.
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