NoSQL Training Courses
Local, instructor-led live NoSQL training courses are aimed at both system administrators as well as developers and demonstrate through hands-on practice how to administer NoSQL systems as well as how to integrate NoSQL databases with software applications. NoSQL training is available as "onsite live training" or "remote live training". Onsite live training can be carried out locally on customer premises in the UAE or in NobleProg corporate training centers in the UAE. Remote live training is carried out by way of an interactive, remote desktop. NobleProg -- Your Local Training Provider
Client Testimonials
Course Outlines
| Code | Name | Duration | Overview |
|---|---|---|---|
| hadoopmapr | Hadoop Administration on MapR | 28 hours | Audience: This course is intended to demystify big data/hadoop technology and to show it is not difficult to understand. |
| mariadbdev | MariaDB 10 Developer Course | 28 hours | Created DBAs, Administrators and developers who are interested with getting involved in MariaDB 10 based on Linux system. Even beginners, who have the basic skill and knowledge on Linux, can catch up with this course just if you follow the instructor's lab and explanation in detail. This course is intended to practice enough Database Concept and SQL and to show it is very easy to understand how to use SQL and manage MariaDB on Linux system. This course will be delivered to audience with 40% lectures, 50% labs and 10% Q&A. This five-day course strongly emphasizes lab-based activities After this course, you can apply the knowledge, which you obtained through this course, to the other database systems such as MySQL, Oracle Database, MSSQL Server and PostgreSQL as well. It can be deliver on any distribution (Ubuntu, CentOS are commonly used) |
| bigdatastore | Big Data Storage Solution - NoSQL | 14 hours | When traditional storage technologies don't handle the amount of data you need to store there are hundereds of alternatives. This course try to guide the participants what are alternatives for storing and analyzing Big Data and what are theirs pros and cons. This course is mostly focused on discussion and presentation of solutions, though hands-on exercises are available on demand. |
| hbasedev | HBase for Developers | 21 hours | This course introduces HBase – a NoSQL store on top of Hadoop. The course is intended for developers who will be using HBase to develop applications, and administrators who will manage HBase clusters. We will walk a developer through HBase architecture and data modelling and application development on HBase. It will also discuss using MapReduce with HBase, and some administration topics, related to performance optimization. The course is very hands-on with lots of lab exercises. Duration : 3 days Audience : Developers & Administrators |
| aerosdev | Aerospike for Developers | 14 hours | This course covers everything a database developer needs to know to successfully develop applications using Aerospike. |
| scylladb | Scylla database | 21 hours | Scylla is an open-source distributed NoSQL data store. It is compatible with Apache Cassandra but performs at significantly higher throughputs and lower latencies. In this course, participants will learn about Scylla's features and architecture while obtaining practical experience with setting up, administering, monitoring, and troubleshooting Scylla. Audience Database administrators Developers System Engineers Format of the course The course is interactive and includes discussions of the principles and approaches for deploying and managing Scylla distributed databases and clusters. The course includes a heavy component of hands-on exercises and practice. |
| berkeleydb | Berkeley DB for developers | 21 hours | Berkeley DB (BDB) is a software library intended to provide a high-performance embedded database for key/value data. Berkeley DB is written in C with API bindings for C++, C#, Java, Perl, PHP, Python, Ruby, Smalltalk, Tcl, and many other programming languages. Berkeley DB is not a relational database.[1] This course will introduce the architecture and capabilities of Berkeley DB and walk participants through the development of their own sample application using Berkeley DB. Audience Application developers Software engineers Technical consultants Format of the course Part lecture, part discussion, hands-on development and implementation, tests to gauge understanding |
| accumulo | Apache Accumulo: Building highly scalable big data applications | 21 hours | Apache Accumulo is a sorted, distributed key/value store that provides robust, scalable data storage and retrieval. It is based on the design of Google's BigTable and is powered by Apache Hadoop, Apache Zookeeper, and Apache Thrift. This courses covers the working principles behind Accumulo and walks participants through the development of a sample application on Apache Accumulo. Audience Application developers Software engineers Technical consultants Format of the course Part lecture, part discussion, hands-on development and implementation, occasional tests to gauge understanding |
| voldemort | Voldemort: Setting up a key-value distributed data store | 14 hours | Voldemort is an open-source distributed data store that is designed as a key-value store. It is used at LinkedIn by numerous critical services powering a large portion of the site. This course will introduce the architecture and capabilities of Voldomort and walk participants through the setup and application of a key-value distributed data store. Audience Software developers System administrators DevOps engineers Format of the course Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding |
| BigData_ | A Practical Introduction to Data Analysis and Big Data | 35 hours | Participants who complete this training will gain a practical, real-world understanding of Big Data and its related technologies, methodologies and tools. Participants will have the opportunity to put this knowledge into practice through hands-on exercises. Group interaction and instructor feedback make up an important component of the class. The course starts with an introduction to elemental concepts of Big Data, then progresses into the programming languages and methodologies used to perform Data Analysis. Finally, we discuss the tools and infrastructure that enable Big Data storage, Distributed Processing, and Scalability. Audience Developers / programmers IT consultants Format of the course Part lecture, part discussion, hands-on practice and implementation, occasional quizing to measure progress. |
| riak | Riak: Build Applications with High Data Accuracy | 14 hours | Riak is an Erlang based open-source document database, similar to CouchDB. It is created and maintained by Basho. In this instructor-led, live training, participants will learn how to build, run and operate a Riak based web application. By the end of this training, participants will be able to: Extend the number of hardware nodes and partition data across multiple servers Use bucket/key/values to organize and retrieve documents Use full-text search like query syntax Understand other Riak related technologies, such as Riak KV and Riak TS Test, secure, optimize and deploy a sample web application Audience Developers Database engineers Operations staff Format of the course Part lecture, part discussion, exercises and heavy hands-on practice |
| datastorageoverview | Which data storage to choose - from flat files, through SQL, NoSQL to massive distributed systems | 7 hours | This course helps customer to chose the write data storage depend on their needs. It covers almost all possible modern approaches. |
| orientdb | OrientDB for Developers | 14 hours | OrientDB is a NoSQL Multi-Model Database that works with Graph, Document, Key-Value, GeoSpatial, and Reactive models. Its flexibility allows users to manage different kinds of data under one centralized database. In this instructor-led, live training, participants will learn how to start using OrientDB and utilize its flexibility to manage data. By the end of this training, participants will be able to: Install OrientDB Learn how to create and manage a database with OrientDB Explore the different features and functionalities of OrientDB Learn how to work with different APIs on OrientDB Deploy OrientDB using Distributed Architecture Audience Software engineers and technicians Technical people in all industries IT people Developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice |
| memsql | MemSQL | 28 hours | MemSQL is an in-memory, distributed, SQL database management system for cloud and on-premises. It's a real-time data warehouse that immediately delivers insights from live and historical data. In this instructor-led, live training, participants will learn the essentials of MemSQL for development and administration. By the end of this training, participants will be able to: Understand the key concepts and characteristics of MemSQL Install, design, maintain, and operate MemSQL Optimize schemas in MemSQL Improve queries in MemSQL Benchmark performance in MemSQL Build real-time data applications using MemSQL Audience Developers Administrators Operation Engineers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice |
| nosql | A Practical Introduction to NoSQL Databases | 28 hours | Relational databases have been the technology of choice for storing, retrieving and querying data. Relational databases allow users to organize their data using a structured, well-defined set of patterns (model). While this approach works well for storing data that is standardized and well-understood in advance (think of a hospital check-in application that holds patient records with the same consistent set of pre-defined fields...patient id, first name, last name, date of last visit, etc.), there are limitations to this model. For organizations whose incoming data is not well-defined (think of a online inquiry form for a startup whose still in the process of experimenting with different fields for collecting visitor data, removing and adding fields as they go to accommodate for the changing nature of the business), any established definitions for how the data should fit into an existing database would need to be re-defined regularly. This would require recreating the data model (schema) that dictates the structure of the data and its allowed data types to support different types of data inputs, etc., before any new data could be saved to the database. Enter NoSQL (Not Only SQL) databases. NoSQL databases free users from having to predefine the structure of the incoming data, allowing them to insert and update new data on the fly. NoSQL databases are often faster than relational databases and can handle very large amounts of data with ease. NoSQL databases also scale better than relational databases, due to their ability to efficiently partition data across many servers (cluster) and load balancing the access to 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 understand the architecture, design principles and functionality of the most popular NoSQL databases on the market as they setup, operate and asses a number of NoSQL databases in a live lab environment. The goal of this training is to equip participants with the ability to intelligently evaluate, 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 vs relational databases Understand the underlying data formats used by NoSQL databases and how these formats can be used to an advantage when developing modern applications (desktop, mobile, cloud, IoT) Perform create, insert, update, delete operations in a NoSQL database Setup a mixed environment with both a relational database and NoSQL working in tandem Configure a cluster of NoSQL database for distributed 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 wishing to integrate a flexible database solution in their application 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. |
Upcoming Courses
| Course | Course Date | Course Price [Remote / Classroom] |
|---|---|---|
| Berkeley DB for developers - Dubai | Sun, 2018-08-05 09:30 | 4800USD / 6900USD |
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