NoSQL Training in Gaia

When conventional storage technologies struggle to manage the volume of data you need to accommodate, there are hundreds of alternatives available. This course aims to guide participants in identifying suitable options for storing and analysing Big Data, alongside an examination of their respective advantages and disadvantages.

The course primarily focuses on discussing and presenting various solutions, although hands-on exercises can be provided upon request.

This instructor-led, live training in Gaia (online or onsite) is aimed at beginner-level and intermediate-level professionals who wish to use big data and database concepts to understand modern data platforms and make better technology and business decisions.

By the end of this training, participants will be able to: explain core database and big data concepts, compare major data platform options, describe how data is stored and processed, and identify practical use cases and governance needs.

This instructor-led, live training in Gaia (online or onsite) is aimed at database administrators or developers who wish to use Microsoft Azure Cosmos DB to develop and manage highly responsive and low latency applications.

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

• Provision the necessary Cosmos DB resources to start building databases and applications.
• Scale application performance and storage by utilizing APIs in Cosmos DB.
• Manage database operations and reduce cost by optimizing Cosmos DB resources.

This course provides an introduction to HBase, a NoSQL database built on top of Hadoop. It is designed for developers who intend to build applications using HBase, as well as administrators responsible for managing HBase clusters.

We will guide developers through HBase architecture, data modelling, and application development on the platform. The course also covers the integration of MapReduce with HBase and addresses key administration topics related to performance optimization. This is a highly practical course featuring numerous lab exercises.

Duration: 3 days

Audience: Developers & Administrators

Relational databases have long been the preferred technology for storing, retrieving, and querying data. They enable users to organize information using a structured, well-defined model. While this approach is effective for standardized data with pre-defined requirements (such as a hospital check-in system maintaining patient records with consistent fields like ID, name, and visit date), it presents limitations for organizations dealing with less structured data. For instance, a startup experimenting with various fields in an online inquiry form must frequently redefine its schema to accommodate evolving business needs. This constant need to recreate data structures and allowed data types before saving new information can be cumbersome.

NoSQL (Not Only SQL) databases address these challenges by freeing users from the need to predefine data structures, allowing for immediate insertion and updates. NoSQL systems are typically faster than relational databases and handle vast volumes of data effortlessly. They also scale more effectively by efficiently partitioning data across server clusters and load balancing access. NoSQL databases integrate seamlessly with applications requiring real-time analytics, site personalization, IoT support, and mobile development.

In this instructor-led live training, participants will explore the architecture, design principles, and functionality of leading NoSQL databases. Through a live lab environment, attendees will set up, operate, and assess various NoSQL solutions. The objective is to equip participants with the skills to intelligently evaluate, propose, and implement suitable NoSQL database solutions within their organizations.

Upon completion of this training, participants will be able to:

• Install and configure diverse NoSQL databases, including MongoDB, Cassandra, Redis, and Neo4j.
• Understand the advantages and disadvantages of NoSQL databases compared to relational databases.
• Grasp the underlying data formats used by NoSQL databases and how to leverage them for modern application development (desktop, mobile, cloud, IoT).
• Perform CRUD operations (create, read, update, delete) within a NoSQL environment.
• Set up a hybrid environment where relational and NoSQL databases work in tandem.
• Configure a NoSQL database cluster to distribute the processing of large datasets.
• Understand the security implications associated with using NoSQL databases.
• Deploy and scale a NoSQL database in a production environment.

Audience

• Database professionals
• Data architects
• Data strategists
• Project managers
• Application developers seeking to integrate flexible database solutions

Format of the Course

• A blend of lectures, discussions, exercises, and extensive hands-on practice.

Note

• To request customized training for this course, please contact us to arrange.

Scylla is an open-source, distributed NoSQL data store designed to be compatible with Apache Cassandra, while delivering significantly higher throughput and lower latency.

In this course, participants will explore Scylla’s features and architecture, gaining practical experience in setting up, administering, monitoring, and troubleshooting Scylla.

Audience

• Database administrators
• Developers
• System Engineers

Course Format

• The course is interactive, covering the principles and approaches for deploying and managing Scylla distributed databases and clusters.
• A significant portion of the course is dedicated to hands-on exercises and practical application.

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