Introduction to NoSQL

COURSE FEATURES

Duration

3 Days

Skill level

All levels

Course tailored to participants' expertise.

Language

Romanian

Type

In-class / Online-live

Assessments

Yes

Custom Training

1750 Eur / Day

Open Class

750 Eur / Participant

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The scope of this course is to provide an introduction of the distributed data storage layer in Big Data architectures and the main noSQL concepts, also to detail 3 of the most known NoSQL solutions: columnar store Apache Cassandra, columnar store Apache HBase and document store MongoDB. For each of the chosen solutions we will go through concepts and as well have hands on sessions - to try to understand what works or not works from a queries perspective.

If you are coming from relational databases and are interested in NoSQL this course provides the perfect way to understand the possible use cases for NoSQL solutions, the requirements of natively distributed systems - requirements that drive most of the concepts behind the NoSQL systems.

This course is taught in Romanian, with course materials available in either English, or Romanian. The course can be customized - on request.

DAY

TOPICS

Role of distributed storage layer in a big data architecture

Components of the storage layer: Distributed file storage (HDFS & other file storage), distributed databases

noSQL Overview: Distributed databases (common concepts); Consistency & the CAP Theorem;

Distributed File storage: HDFS overview, HDFS and Computing and Analysis layer of Big Data architectures, Hadoop architecture components

Analysis layer overview

Apache Hive, Impala, Spark SQL overview

HDFS & Hive overview (Create tables (internal/external), SERDE’s, partitions, buckets, file formats, …)

DAY

TOPICS

The Column-Family Data Model: why better for specific use cases

Main concepts: data partitioning, distribution, replication and consistency, write and read paths (cluster and node level)

Architecture: gossip, snitch, multi DC deployments

Data model: keyspace, table, partition key(s), clustering key(s), indexes

Cassandra Query Language (create keyspace, table, insert/update data into tables, delete, query data)

DAY

TOPICS

Hbase most known use cases, differences vs Apache Cassandra

Architecture: master, meta, zookeeper, region servers, HDFS

Basic concepts: row-key, tables, regions, persistence of data, write and read paths

Regions scaling and auto-scaling

Data Model

Row Key Design

Operations: write, read and delete data

Documents store noSQL: MongoDB

The Document Data Model (documents, collections)

MongoDB Use Cases

Architecture: Replication via Replica Sets; MongoDB and the CAP Theorem; Auto-Sharding,

DML

Indexing

Contact Us

Feel free to leave us your thoughts so we can discover the solution together!

academy@esolutions.ro

Get in touch

0753.029.187

Our address

20 Constantin Budisteanu Street , 1 st. District, Bucharest

academy@esolutions.ro

Get in touch

0753.029.187

Our address

20 Constantin Budisteanu Street , 1 st. District, Bucharest

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