NoSQL Training in Norway

When traditional storage technologies cannot manage the volume of data you need to store, there are numerous alternatives available. This course aims to guide participants through the various options for storing and analyzing Big Data, highlighting their advantages and disadvantages.

The focus of this course is primarily on discussions and presentations of solutions, although hands-on exercises can be provided upon request.

The course is an integral component of the Data Scientist skill set, falling under the domain of Data and Technology.

This instructor-led, live training in Norway (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 will be using HBase to create applications and administrators who will manage HBase clusters.

The course takes developers through the architecture of HBase, data modeling, and application development. It also covers the integration of MapReduce with HBase and discusses various administration topics related to performance optimization. The course is highly practical, featuring numerous lab exercises.

Duration: 3 days

Audience: Developers & Administrators

Relational databases have been the go-to technology for storing, retrieving, and querying data. They enable users to organize their data using structured, well-defined patterns (model). This approach works effectively for standardized and well-understood data, such as patient records in a hospital check-in application, which include consistent fields like patient ID, first name, last name, and date of the last visit. However, there are limitations to this model, especially for organizations with less defined incoming data. For instance, consider an online inquiry form for a startup that is still experimenting with different fields for visitor data, adding or removing fields as the business evolves. In such cases, any established definitions for how the data should fit into an existing database would need frequent redefinition. This involves recreating the data model (schema) to accommodate various types of data inputs before new data can be saved to the database.

NoSQL databases offer a solution by freeing users from having to predefine the structure of incoming data, allowing for dynamic insertion and updates on the fly. NoSQL databases are often faster than relational databases and can handle very large amounts of data with ease. They also scale better due to their efficient ability to partition data across multiple servers (cluster) and balance the load for accessing this data. NoSQL databases integrate particularly well with applications that support real-time analytics, site personalization, IoT, and mobile apps.

In this instructor-led, live training, participants will gain a deep understanding of the architecture, design principles, and functionality of popular NoSQL databases as they set up, operate, and assess these databases in a live lab environment. The goal is to enable participants to intelligently evaluate, propose, and implement suitable NoSQL database solutions within their organizations.

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

• Install and configure various types of NoSQL databases, including MongoDB, Cassandra, Redis, and Neo4j
• Understand the benefits and disadvantages of NoSQL databases compared to relational databases
• Grasp the underlying data formats used by NoSQL databases and how these can be leveraged for developing modern applications (desktop, mobile, cloud, IoT)
• Perform create, insert, update, and delete operations in a NoSQL database
• Set up an environment where both relational and NoSQL databases work together seamlessly
• Configure a cluster of NoSQL databases to distribute the processing of very large datasets
• Understand the security implications of using a NoSQL database
• Deploy and scale a NoSQL database in a production setting

Audience

• Database professionals
• Data architects
• Data strategists
• Project managers
• Application developers looking to integrate flexible database solutions into their applications

Format of the Course

• Part lecture, part discussion, exercises, and extensive hands-on practice

Note

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

Scylla is an open-source, distributed NoSQL data store that is compatible with Apache Cassandra. However, it stands out by delivering significantly higher throughputs and lower latencies.

In this course, participants will gain a deep understanding of Scylla's features and architecture while acquiring practical skills in setting up, administering, monitoring, and troubleshooting the system.

Audience

• Database Administrators
• Developers
• System Engineers

Course Format

• The course is interactive, featuring discussions on the principles and best practices for deploying and managing Scylla distributed databases and clusters.
• A significant portion of the course is dedicated to hands-on exercises and practical sessions.

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