JanusGraph Training Course

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.

In this instructor-led, live hands-on training in Austria, we will set up a live project and put into practice the skills to model, manage and access your data using neo4j. 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.

This instructor-led, live training in Austria (online or onsite) is aimed at developers who wish to use Neo4j AuraDB graph database to build cloud applications with high availability and zero administration.

By the end of this training, participants will be able to:

• Set up the necessary development environment to start developing graph database applications with Neo4j AuraDB.
• Understand the features, core concepts, and architecture of Neo4j AuraDB.
• Learn how to build and scale graph database applications in the cloud.
• Enhance cloud security with AuraDB's pre-configured authentication and encryption features.
• Migrate existing Neo4j databases to AuraDB.

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 set up 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

In this instructor-led, live training in Austria, 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 (also known as Graph Analytics) 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

• Programmers
• Beginner IT professionals

Format of the course

•     Part lecture, part discussion, heavy hands-on practice

This instructor-led, live training in Austria (online or onsite) is aimed at developers who wish to set up a multi-node Greenplum database.

By the end of this training, participants will be able to:

• Install and configure Pivotal Greenplum.
• Model data in accordance to current needs and future expansion plans.
• Carry out different techniques for distribute data across multiple nodes.
• Improve database performance through tuning.
• Monitor and troubleshoot a Greenplum database.

This instructor-led, live training in Austria (online or onsite) is aimed at system administrators, database administrators, data architects, and developers who wish to install, configure, and manage MarkLogic Server to optimize their database systems.

By the end of this training, participants will be able to implement, develop, manage, and secure their enterprise data and database systems using MarkLogic Server.

In this instructor-led, live training in Austria, participants will learn the fundamentals of SAP ASE (SAP Adaptive Server Enterprise) Database Administration as they step through the creation and deployment of a sample SAP ASE Database System.

By the end of this training, participants will be able to:

• Install and configure SAP ASE for data storage as well as transactional operations.
• Understand and use SAP ASE components, tools, and utilities.
• Integrate SAP ASE with non-SAP ASE applications.

The course participants will learn the terminology of relational databases, acquire the skills to design database applications, know the basic principles of creating forms and reports.

The training discusses issues related to programming in Visual Basic for Applications and presents ways of accessing data using VBA. The training participants also learn the mechanisms that allow them to write a professional database application.

The course participants will learn how to speed up the operation of the database, how to write advanced queries, create a convenient system of forms and reporting. The course introduces the participant to automate all operations using macros and VBA.

The course is designed for persons with pre-information databases using SQL queries or queries.

The Microsoft Access course is an intensive study of how to use a database engine, focusing on practical skills. Master table design, creating queries, relationships between them, and effective collaboration with Excel. The course also covers creating forms, reports and automating work using macros.

The course participants will learn how to design a database and how to adapt it to work with the end user.