Flockdb: A Simple Graph Database for Social Media 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 Poland, 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 Poland (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.

Neo4j is an innovative graph database that is based on a graph data structure, which means that data is stored in the form of nodes, relationships and properties. Neo4j has been used in many areas where relationships between data are crucial. As a graph database, it is used in cases where traditional relational databases may be insufficient to effectively analyze and extract information from related data. Its strength lies in representing and analyzing the relationships between different data elements, which makes it an important tool in the field of data analysis and knowledge management.

This instructor-led, live training in Poland (online or onsite) is aimed at beginner-level to intermediate-level marketers who wish to use Facebook to advertise and market their products or services.

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

• Set up and optimize their Facebook profile, page, and autoresponder.
• Create and manage a Facebook fan page that attracts and retains fans.
• Use Facebook ads to target and reach potential customers.
• Integrate Facebook with other services and platforms such as WordPress, Google Analytics, and email marketing.
• Use Facebook plugins and widgets to enhance their website and blog.
• Create and run contests and promotions on Facebook that generate leads and sales.
• Monitor and analyze their Facebook performance and results using statistics and analytics tools.

In this instructor-led, live training in Poland, 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.

This instructor-led, live training in Poland (online or onsite) is aimed at engineers who wish to use JanusGraph to process very large graphs that require abnormal storage and computational capacity.

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

• Install and configure JanusGraph.
• Integrate JanusGraph with multiple backend storage systems (Cassandra, HBase, etc.) and multiple indexing software (Elasticsearch, Solr, etc.). 
• Configure multiples machines into a cluster for use by JanusGraph.
• Query the database using the Gremlin query language.
• Process graph data at scale, beyond what a single machine can provide.
• Support thousands of concurrent users traversing graph data in real time.
• Query graph data for analysis.

The objective of the course is to enable participants to gain a mastery of fundamentals of main social media platforms and their use in various industries.

This training is best suitable for people into Digital Marketing and Strategies. The training covers the concepts essential to gain a traction on the digital media. It provides the delegates with an introduction to key digital marketing concepts, from mobile marketing and social media marketing to Email marketing, PPC marketing and SEO. By the end of the training we understand the importance of analytics and good strategy with suitable examples.

This training is best suited for people into Digital Marketing and Strategies.

The training covers the concepts essential to gain traction in China through digital media. It introduces key digital marketing concepts, from mobile marketing and social media marketing to Email marketing, PPC marketing and SEO.

By the end of the training we understand the importance of analytics and good strategy with suitable examples.

Participants, for 7 hours of training, learn about the Google advertising ecosystem,
where to display their ads, and the benefits of specific ad formats.
The training is practical - the participants spend most of their time on the Google
Ads advertising account, where they have the opportunity to manually configure the
campaign discussed by the campaign leader.
In addition to setting up the campaign itself, participants will learn how to optimize
them later to achieve satisfactory results.

The training is conducted by a practitioner, a person who regularly conducts
advertising campaigns on Google. The last 30 minutes of the course are dedicated
to the Q&A section, during which participants will have the opportunity to get
answers to questions about advertising in Google Ads.

Target Group:
The Google Ads Basic Course is intended for people who already have a basic
knowledge of internet marketing and want to deepen it with knowledge of the
largest Google advertising tool.

Objectives of the training: acquiring the ability to select and manage cooperation with influencers and good practices of such cooperation. Methods: Lecture. Discussion. Workshops.

The "Marketing and Branding on Facebook" workshop offers comprehensive training covering the selection of a social media platform, algorithms, company success stories, and practical aspects of managing Facebook pages. Participants gain skills in adapting messages, motivating employees, and effectively publishing and moderating content. The course also covers issues related to GDPR, graphic tools, setting up groups, special functions, video, competitions and crisis management.

What you will get out of training:

• You will learn what the possibilities in the field of internet marketing are
• You will learn the specifics of advertising platforms and the importance of both SEO and analytics
• You will also learn how to prepare a marketing strategy for yourself and your company
• You will come out knowing the specifics of building a strategy and process
• You will learn how to cooperate with other digital agencies

Skills

• Strategy preparation
• Strategy evaluation in terms of performance
• Ability to choose priority platforms in the area of activity
• Building an appropriate and effective process of cooperation with agencies and evaluation of their results

Attitudes

• Conscious management of marketing activities (internal team or agency) and preparation of digital strategies
• Confidence in the activities carried out and awareness of the steps / tests taken

Training conducted on-site or as a remote workshop, i.e. a perfect introduction to practice with a live trainer (platform, sound, image of the trainer on the other side), we invite you to a short demonstration meeting if you want to see what it can look like .