Local, instructor-led live Graph Database training courses demonstrate through hands-on practice how Graph Database uses graph theory to store, map and query relationships. Graph Database training is available as "onsite live training" or "remote live training". Onsite live training can be carried out locally on customer premises in the UK or in NobleProg corporate training centers in the UK. Remote live training is carried out by way of an interactive, remote desktop. NobleProg -- Your Local Training Provider
Flexibility to blend in with Automata related details to get more of a real world scenario as we went on.
Autodata Ltd
Course: Beyond the relational database: neo4j
The trainer did bring some good insight and ways to approach developing a graph database. He used examples from the slides presented but also drew on his own experience which was good.
Autodata Ltd
Course: Beyond the relational database: neo4j
| Code | Name | Duration | Overview |
|---|---|---|---|
| neo4j | Beyond the Relational Database: Neo4j | 21 hours | Relational, table-based databases such as Oracle and MySQL have long been the standard for organizing and storing data. However, the growing size and fluidity of data have made it difficult for these traditional systems to efficiently execute highly complex queries on the data. Imagine replacing rows-and-columns-based data storage with object-based data storage, whereby entities (e.g., a person) could be stored as data nodes, then easily queried on the basis of their vast, multi-linear relationship with other nodes. And imagine querying these connections and their associated objects and properties using a compact syntax, up to 20 times lighter than SQL. This is what graph databases, such as neo4j offer. In this hands-on course, we will set up a live project and put into practice the skills to model, manage and access your data. We contrast and compare graph databases with SQL-based databases as well as other NoSQL databases and clarify when and where it makes sense to implement each within your infrastructure. Audience - Database administrators (DBAs) - Data analysts - Developers - System Administrators - DevOps engineers - Business Analysts - CTOs - CIOs Format of the course - Heavy emphasis on hands-on practice. Most of the concepts are learned through samples, exercises and hands-on development. |
| flockdb | Flockdb: A Simple Graph Database for Social Media | 7 hours | FlockDB is an open source distributed, fault-tolerant graph database for managing wide but shallow network graphs. It was initially used by Twitter to store relationships among users. In this instructor-led, live training, participants will learn how to setup and use a FlockDB database to help answer social media questions such as who follows whom, who blocks whom, etc. By the end of this training, participants will be able to: - Install and configure FlockDB - Understand the unique features of FlockDB, relative to other graph databases such Neo4j - Use FlockDB to maintain a large graph dataset - Use FlockDB together with MySQL to provide provide distributed storage capabilities - Query, create and update extremely fast graph edges - Scale FlockDB horizontally for use in on-line, low-latency, high throughput web environments Audience - Developers - Database engineers Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| graphcomputing | Introduction to Graph Computing | 28 hours | A large number of real world problems can be described in terms of graphs. For example, the Web graph, the social network graph, the train network graph and the language graph. These graphs tend to be extremely large; processing them requires a specialized set of tools and processes -- these tools and processes can be referred to as Graph Computing (also known as Graph Analytics). In this instructor-led, live training, participants will learn about the technology offerings and implementation approaches for processing graph data. The aim is to identify real-world objects, their characteristics and relationships, then model these relationships and process them as data using a graph computing approach. We start with a broad overview and narrow in on specific tools as we step through a series of case studies, hands-on exercises and live deployments. By the end of this training, participants will be able to: - Understand how graph data is persisted and traversed - Select the best framework for a given task (from graph databases to batch processing frameworks) - Implement Hadoop, Spark, GraphX and Pregel to carry out graph computing across many machines in parallel - View real-world big data problems in terms of graphs, processes and traversals Audience - Developers Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| blazegraph | Blazegraph: Creating a Graph Database Application | 21 hours | Blazegraph is an open source, Java-based RDF graph database for storing and representing data with complex relationships. It supports Blueprints and RDF/SPARQL 1.1. In this instructor-led, live training, participants will learn how to use Blazegraph to capture complex data in graph format for retrieval from a number of sample applications. All exercises will be carried out hands-on in a live-lab environment. By the end of this training, participants will be able to: - Install and configure Blazegraph in standalone mode, clustered mode (optional) or embedded mode (optional) - Create, test and deploy a sample application to query complex data in a Blazegraph data store - Understand how to leverage GPU (graphics processing unit) to accelerate computations Audience - Developers Format of the Course - Part lecture, part discussion, exercises and heavy hands-on practice Note - To request a customized training for this course, please contact us to arrange. |
| Course | Course Date | Course Price [Remote / Classroom] |
|---|---|---|
| Blazegraph: Creating a Graph Database Application - Birmingham | Mon, 2018-09-03 09:30 | £3300 / £4275 |
| Introduction to Graph Computing - York - Priory Street Centre | Mon, 2018-09-03 09:30 | £4400 / £5000 |
| Beyond the Relational Database: Neo4j - Leeds | Mon, 2018-09-03 09:30 | £3300 / £3900 |
| Flockdb: A Simple Graph Database for Social Media - Brighton | Tue, 2018-09-04 09:30 | £1100 / £1300 |
| Beyond the Relational Database: Neo4j - Belfast City Centre | Tue, 2018-09-04 09:30 | £3300 / £4050 |
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| Introduction to Selenium | York - Priory Street Centre | Tue, 2018-09-04 09:30 | £1089 / £1239 |
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