NoSQL Training in Taiwan

When traditional storage technologies fall short in handling 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, along with their respective 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.

This 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 Taiwan (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 developing applications using HBase and administrators responsible for managing HBase clusters.

The course covers the architecture of HBase, data modeling, and application development on HBase. It also explores how to use MapReduce with HBase and discusses various administration topics related to performance optimization. The course is highly practical, featuring numerous lab exercises to reinforce learning.

Duration: 3 days

Audience: Developers & Administrators

Relational databases have long been the go-to technology for storing, retrieving, and querying data. They enable users to organize data using well-defined and structured patterns (models). This approach is particularly effective for standardized and well-understood data, such as patient records in a hospital check-in application with consistent fields like patient ID, first name, last name, and date of last visit. However, this model has limitations, especially when dealing with less structured or evolving data. For instance, an online inquiry form for a startup that frequently changes its data collection fields requires continuous redefinition of the database schema to accommodate these changes.

This is where NoSQL (Not Only SQL) databases come into play. NoSQL databases do not require predefined data structures, allowing users to insert and update data dynamically. They are often faster than relational databases and can handle vast amounts of data with ease. NoSQL databases also scale more efficiently by partitioning data across multiple servers and balancing the load effectively. These features make them particularly suitable for 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 evaluate various NoSQL databases in a live lab environment. The goal is to equip participants with the skills to intelligently assess, propose, and implement a suitable NoSQL database solution within their organization.

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

• Install and configure different 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 a relational database and a NoSQL database 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 environment

Audience

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

Format of the Course

• A combination of lectures, discussions, 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 but delivers 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 Scylla.

Audience

• Database Administrators
• Developers
• System Engineers

Format of the Course

• 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 involves hands-on exercises and practical activities to reinforce learning.

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