Modern Data Management Approaches
This training provides an overview of modern methods for data storage, including key-value stores, document-oriented and database management systems, distributed data storage and processing systems.
16 hours
Online
English
EAS-011
Modern Data Management Approaches
Sign Up
Duration
16 hours
Location
Online
Language
English
Code
EAS-011
Schedule and prices
€ 300
Training for 7-8 or more people? Customize trainings for your specific needs
Modern Data Management Approaches
Sign Up
Duration
16 hours
Location
Online
Language
English
Code
EAS-011
Schedule and prices
€ 300
Training for 7-8 or more people? Customize trainings for your specific needs

Description

In application design, one of the most important decisions that needs to be made is with regards to data storage. For decades, relational databases remained the first and only option. Projects differed only in their degree of normalization, location of business logic, etc. In the last ten to fifteen years, a lot of alternative systems have appeared – from object-oriented and document-oriented DBMS to distributed file systems and data flow processing systems.

This training reviews a range of modern solutions that allow you to reliably store data for a long time, analyses solutions of different classes, their advantages, and best practices in using them.
After completing the course, a certificate
is issued on the Luxoft Training form

Objectives

  • Understand what data and request characteristics have to be considered at the stage of requirements analysis and selection of data management systems
  • Know the possibilities and limitations of modern relational and non-relational data management systems

Target Audience

  • Software architects
  • Application developers
  • Business analysts
  • Database administrators

Roadmap

  • The evolution of approaches to data storage: databases, data storages, database machines, mass-parallel architectures, hyperconvergence
  • Relational model: which problems can be solved, at expense of what; replication, sharding, distributed transactions
  • “Key-value” minimal model: key structure options, value structure options, program interfaces. Efficiency of non-relational databases: necessary and sufficient conditions (Cassandra, HBase)
  • Document-oriented model (MongoDB)
  • Distributed file systems: cluster architecture (HDFS)
  • SQL over distributed file systems: possible architectures, limitations, transactions. (Hive, Spark, Spark SQL, Parquet, ORC)
  • Distributed in-memory data storage systems. (Hazelcast, Ignite, Tarantool)
  • Distributed OLAP systems (Clickhouse, Druid)
  • Data stream processing. (Spark Streaming)
  • Bootstrap and stand-alone databases
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Your benefits
Expertise
Our trainers are industry experts, involved in software development project
Live training
Facilitated online so that you can interact with the trainer and other participants
Practice
A focus on helping you practice your new skills
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