Database Training Courses

Database Training Courses

Local, instructor-led live Database (DB) or Database Management System (DBMS) training courses are aimed at both system administrators as well as developers and demonstrate through hands-on practice how to administer Database systems as well as how to integrate a Database with software applications.

Database training is available as "onsite live training" or "remote live training". Onsite live Database trainings in Israel can be carried out locally on customer premises or in NobleProg corporate training centers. Remote live training is carried out by way of an interactive, remote desktop.

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Database Course Outlines

Title
Duration
Overview
Title
Duration
Overview
14 hours
Overview
MySQL Administration training course is for anyone who wants to administrate the MySQL database server. It is a comprehensive course covering all administrator duties.

The course explains how MySQL Database works, what tools are available, how we can use them, how we can secure the MySQL Database Server and configure it. During the training course you will learn how to manage user accounts and how the MySQL Access Privilege System works. You also will learn how to maintain your database, backup and recover your databases and perform crash recovery.
21 hours
Overview
This course will introduce Cassandra – a popular NoSQL database. It will cover Cassandra principles, architecture and data model. Students will learn data modeling in CQL (Cassandra Query Language) in hands-on, interactive labs. This session also discusses Cassandra internals and some admin topics.

Duration : 3 days

Audience : Developers
28 hours
Overview
Many real world problems can be described in terms of graphs. For example, the Web graph, the social network graph, the train network graph and the language graph. These graphs tend to be extremely large; processing them requires a specialized set of tools and processes -- these tools and processes can be referred to as Graph Computing (also known as Graph Analytics).

In this instructor-led, live training, 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.

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
420 hours
Overview
In this instructor-led, live training, participants will learn the foundations of web development as they step through the creation and deployment of a sample application.

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

- Design and implement new user facing features
- Optimize web applications to maximize speed and scale
- Write client-side code for web-based applications
- Create fast, easy to use, high volume production applications and develop prototypes quickly

Audience

- Beginner web developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
28 hours
Overview
MariaDB is a fork of MySQL and one of the most popular database servers.

In this instructor-led, live training, participants will learn how to install, configure and manage MariaDB for high availability and performance. Other topics include backup and recovery, security and clustering.

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
7 hours
Overview
This course helps customer to chose the write data storage depend on their needs. It covers almost all possible modern approaches.
7 hours
Overview
FlockDB is an open source distributed, fault-tolerant graph database for managing wide but shallow network graphs. It was initially used by Twitter to store relationships among users.

In this instructor-led, live training, participants will learn how to set up and use a FlockDB database to help answer social media questions such as who follows whom, who blocks whom, etc.

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

- Install and configure FlockDB
- Understand the unique features of FlockDB, relative to other graph databases such Neo4j
- Use FlockDB to maintain a large graph dataset
- Use FlockDB together with MySQL to provide provide distributed storage capabilities
- Query, create and update extremely fast graph edges
- Scale FlockDB horizontally for use in on-line, low-latency, high throughput web environments

Audience

- Developers
- Database engineers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
14 hours
Overview
Hypertable is an open-source software database management system based on the design of Google's Bigtable.

In this instructor-led, live training, participants will learn how to set up and manage a Hypertable database system.

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

- Install, configure and upgrade a Hypertable instance
- Set up and administer a Hypertable cluster
- Monitor and optimize the performance of the database
- Design a Hypertable schema
- Work with Hypertable's API
- Troubleshoot operational issues

Audience

- Developers
- Operations engineers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Part lecture, part discussion, exercises and heavy hands-on practice
14 hours
Overview
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
21 hours
Overview
kdb+ is an in-memory, column-oriented database and q is its built-in, interpreted vector-based language. In kdb+, tables are columns of vectors and q is used to perform operations on the table data as if it was a list. kdb+ and q are commonly used in high frequency trading and are popular with the major financial institutions, including Goldman Sachs, Morgan Stanley, Merrill Lynch, JP Morgan, etc.

In this instructor-led, live training, participants will learn how to create a time series data application using kdb+ and q.

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

- Understand the difference between a row-oriented database and a column-oriented database
- Select data, write scripts and create functions to carry out advanced analytics
- Analyze time series data such as stock and commodity exchange data
- Use kdb+'s in-memory capabilities to store, analyze, process and retrieve large data sets at high speed
- Think of functions and data at a higher level than the standard function(arguments) approach common in non-vector languages
- Explore other time-sensitive applications for kdb+, including energy trading, telecommunications, sensor data, log data, and machine and network usage monitoring

Audience

- Developers
- Database engineers
- Data scientists
- Data analysts

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
21 hours
Overview
The aim of this course is to provide a clear understanding of the use of SQL for different
databases (Oracle, SQL Server, MS Access...). Understanding of analytic functions and the
way how to join different tables in a database will help delegates to move data analysis
operations to the database side, instead of doing this in MS Excel application. This can also
help in creating any IT system, which uses any relational database.
14 hours
Overview
Percona Server for MySQL is optimized for cloud computing, NoSQL access, containers and modern hardware such as SSD and Flash storage.

-

Cloud ready
Dramatically reduces downtime on servers with slow disks and large memory, such as 4XL EC2 servers on EBS volumes

-

SaaS deployable
Increases flexibility for architectures such as co-located databases with hundreds of thousands of tables and heterogeneous backup and retention policies

-

Vertical scalability and server consolidation
Scales to over 48 CPU cores, with the ability to achieve hundreds of thousands of I/O operations per second on high-end solid-state hardware

-

Query, object and user level instrumentation
Detailed query logging with per-query statistics about locking, I/O, and query plan, as well as performance and access counters per-table, per-index, per-user, and per-host

-

Enterprise ready
Percona Server for MySQL includes advanced, full-enabled external authentication, audit logging and threadpool scalability features that are only available in Oracle’s commercial MySQL Enterprise Edition
21 hours
Overview
Teradata is one of the popular Relational Database Management System. It is mainly suitable for building large scale data warehousing applications. Teradata achieves this by the concept of parallelism.

This course introduces the delegates to Teradata.
28 hours
Overview
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
14 hours
Overview
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
21 hours
Overview
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.

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
14 hours
Overview
Microsoft Access is a pseudo-relational database engine from Microsoft.
21 hours
Overview
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.
21 hours
Overview
Relational, table-based databases such as Oracle and MySQL have long been the standard for organizing and storing data. However, the growing size and fluidity of data have made it difficult for these traditional systems to efficiently execute highly complex queries on the data. Imagine replacing rows-and-columns-based data storage with object-based data storage, whereby entities (e.g., a person) could be stored as data nodes, then easily queried on the basis of their vast, multi-linear relationship with other nodes. And imagine querying these connections and their associated objects and properties using a compact syntax, up to 20 times lighter than SQL. This is what graph databases, such as neo4j offer.

In this instructor-led, live hands-on training, 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.

Format of the Course

- Heavy emphasis on hands-on practice. Most of the concepts are learned through samples, exercises and hands-on development.
21 hours
Overview
Audience

- Beginner or intermediate database developers
- Beginner or intermediate database administrators
- Programmers

Format of the course

- Heavy emphasis on hands-on practice.
- Most of the concepts are learned through samples, exercises, and hands-on development.
7 hours
Overview
When migrating databases there are common ways of dealing with logic put either in SQL queries specific to the database or database procedural language (e.g. PL/SQL). This course covers techniques and strategies of making migration smooth. Also, it deals with possible performance and scalability problems.

This course is usually deliver with following databases: DB2, Oracle, MySQL, MariaDB, SQL Server, etc... but can be tailored to a specific migration project.
14 hours
Overview
This course will introduce Cassandra – a popular NoSQL database. It will cover Cassandra principles, architecture and data model. Students will learn data modeling in CQL (Cassandra Query Language) in hands-on, interactive labs. This session also discusses Cassandra internals and some admin topics.
14 hours
Overview
Redis is an open source (BSD licensed), in-memory data structure store, used as database, cache and message broker.
14 hours
Overview
This course covers everything a database developer needs to know to successfully develop applications using Aerospike.
14 hours
Overview
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
28 hours
Overview
SAP ASE (SAP Adaptive Server Enterprise), previously known as Sybase SQL Server, Sybase DB and Sybase ASE is a relational database for businesses.

In this instructor-led, live training, participants will learn the fundamentals of SAP ASE (SAP Adaptive Server Enterprise) Database Administration as they step through the creation and deployment of a sample SAP ASE Database System.

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

- Install and configure SAP ASE for data storage as well as transactional operations.
- Understand and use SAP ASE components, tools, and utilities.
- Integrate SAP ASE with non-SAP ASE applications.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.
14 hours
Overview
SequoiaDB is a document-oriented NewSQL database that supports JSON transaction processing and SQL query. SequoiaDB can directly interface with applications to provide high performance and horizontally scalable data storage and processing functions, or serve as the frontend to Hadoop and Spark for both real-time query and data analysis.
7 hours
Overview
This training is designed for Database Administrators and Architects who want to tune PostgreSQL Database for Performance. Learn how to log slow workload and find the possible pain points in a query. This topic also covers the most important parameters that must be tuned for optimal performance.
14 hours
Overview
ApsaraCache is a fork of Redis, the cloud-based in-memory data structure store that is commonly used as a database, cache and a message broker. ApsaraCache solves stability bottlenecks caused by frequent AOF Rewrite with time-based recovery to precision in seconds. It also solved the syncing problem when there's a patchy connection.

This instructor-led, live training (onsite or remote) is aimed at engineers who wish to integrate a powerful Redis alternative for storing and caching data in real-time.

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

- Understand the differences between Redis and ApsaraCache and make the most of ApsaraCache's unique features.
- Understand and employ the different Data Types and Commands used in ApsaraCache.
- Integrate ApsaraCache with existing web applications to capture incoming data.
- Use ApsaraCache to capture chat logs, scoreboards, and other real-world web data.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.
- To learn more about ApsaraCache, please visit: https://github.com/alibaba/ApsaraCache
21 hours
Overview
Pivotal Greenplum is a Massively Parallel Processing (MPP) Data Warehouse platform based on PostgreSQL.

This instructor-led, live training (onsite or remote) is aimed at developers who wish to set up a multi-node Greenplum database.

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

- Install and configure Pivotal Greenplum.
- Model data in accordance to current needs and future expansion plans.
- Carry out different techniques for distributing data across multiple nodes.
- Improve database performance through tuning.
- Monitor and troubleshoot a Greenplum database.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

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