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SQL NoSQL Big Data and Hadoop
By Janets
(160)- 30 Day Money Back Guarantee
- Completion Certificate
- 24/7 Technical Support
Highlights
On-Demand course
22 hours 33 minutes
All levels
Description
Register on the SQL NoSQL Big Data and Hadoop today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career.
The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials.
Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion.
The SQL NoSQL Big Data and Hadoop is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones.
The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly!
What You Get With The SQL NoSQL Big Data and Hadoop
Receive a e-certificate upon successful completion of the course
Get taught by experienced, professional instructors
Study at a time and pace that suits your learning style
Get instant feedback on assessments
24/7 help and advice via email or live chat
Get full tutor support on weekdays (Monday to Friday)
Course Design
The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.
You are taught through a combination of
Video lessons
Online study materials
Certification
Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99.
Who Is This Course For:
The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.
Requirements:
The online training is open to all students and has no formal entry requirements. To study the SQL NoSQL Big Data and Hadoop, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.
Course Content
Section 01: Introduction | |||
Introduction | 00:07:00 | ||
Building a Data-driven Organization - Introduction | 00:04:00 | ||
Data Engineering | 00:06:00 | ||
Learning Environment & Course Material | 00:04:00 | ||
Movielens Dataset | 00:03:00 | ||
Section 02: Relational Database Systems | |||
Introduction to Relational Databases | 00:09:00 | ||
SQL | 00:05:00 | ||
Movielens Relational Model | 00:15:00 | ||
Movielens Relational Model: Normalization vs Denormalization | 00:16:00 | ||
MySQL | 00:05:00 | ||
Movielens in MySQL: Database import | 00:06:00 | ||
OLTP in RDBMS: CRUD Applications | 00:17:00 | ||
Indexes | 00:16:00 | ||
Data Warehousing | 00:15:00 | ||
Analytical Processing | 00:17:00 | ||
Transaction Logs | 00:06:00 | ||
Relational Databases - Wrap Up | 00:03:00 | ||
Section 03: Database Classification | |||
Distributed Databases | 00:07:00 | ||
CAP Theorem | 00:10:00 | ||
BASE | 00:07:00 | ||
Other Classifications | 00:07:00 | ||
Section 04: Key-Value Store | |||
Introduction to KV Stores | 00:02:00 | ||
Redis | 00:04:00 | ||
Install Redis | 00:07:00 | ||
Time Complexity of Algorithm | 00:05:00 | ||
Data Structures in Redis : Key & String | 00:20:00 | ||
Data Structures in Redis II : Hash & List | 00:18:00 | ||
Data structures in Redis III : Set & Sorted Set | 00:21:00 | ||
Data structures in Redis IV : Geo & HyperLogLog | 00:11:00 | ||
Data structures in Redis V : Pubsub & Transaction | 00:08:00 | ||
Modelling Movielens in Redis | 00:11:00 | ||
Redis Example in Application | 00:29:00 | ||
KV Stores: Wrap Up | 00:02:00 | ||
Section 05: Document-Oriented Databases | |||
Introduction to Document-Oriented Databases | 00:05:00 | ||
MongoDB | 00:04:00 | ||
MongoDB Installation | 00:02:00 | ||
Movielens in MongoDB | 00:13:00 | ||
Movielens in MongoDB: Normalization vs Denormalization | 00:11:00 | ||
Movielens in MongoDB: Implementation | 00:10:00 | ||
CRUD Operations in MongoDB | 00:13:00 | ||
Indexes | 00:16:00 | ||
MongoDB Aggregation Query - MapReduce function | 00:09:00 | ||
MongoDB Aggregation Query - Aggregation Framework | 00:16:00 | ||
Demo: MySQL vs MongoDB. Modeling with Spark | 00:02:00 | ||
Document Stores: Wrap Up | 00:03:00 | ||
Section 06: Search Engines | |||
Introduction to Search Engine Stores | 00:05:00 | ||
Elasticsearch | 00:09:00 | ||
Basic Terms Concepts and Description | 00:13:00 | ||
Movielens in Elastisearch | 00:12:00 | ||
CRUD in Elasticsearch | 00:15:00 | ||
Search Queries in Elasticsearch | 00:23:00 | ||
Aggregation Queries in Elasticsearch | 00:23:00 | ||
The Elastic Stack (ELK) | 00:12:00 | ||
Use case: UFO Sighting in ElasticSearch | 00:29:00 | ||
Search Engines: Wrap Up | 00:04:00 | ||
Section 07: Wide Column Store | |||
Introduction to Columnar databases | 00:06:00 | ||
HBase | 00:07:00 | ||
HBase Architecture | 00:09:00 | ||
HBase Installation | 00:09:00 | ||
Apache Zookeeper | 00:06:00 | ||
Movielens Data in HBase | 00:17:00 | ||
Performing CRUD in HBase | 00:24:00 | ||
SQL on HBase - Apache Phoenix | 00:14:00 | ||
SQL on HBase - Apache Phoenix - Movielens | 00:10:00 | ||
Demo : GeoLife GPS Trajectories | 00:02:00 | ||
Wide Column Store: Wrap Up | 00:04:00 | ||
Section 08: Time Series Databases | |||
Introduction to Time Series | 00:09:00 | ||
InfluxDB | 00:03:00 | ||
InfluxDB Installation | 00:07:00 | ||
InfluxDB Data Model | 00:07:00 | ||
Data manipulation in InfluxDB | 00:17:00 | ||
TICK Stack I | 00:12:00 | ||
TICK Stack II | 00:23:00 | ||
Time Series Databases: Wrap Up | 00:04:00 | ||
Section 09: Graph Databases | |||
Introduction to Graph Databases | 00:05:00 | ||
Modelling in Graph | 00:14:00 | ||
Modelling Movielens as a Graph | 00:10:00 | ||
Neo4J | 00:04:00 | ||
Neo4J installation | 00:08:00 | ||
Cypher | 00:12:00 | ||
Cypher II | 00:19:00 | ||
Movielens in Neo4J: Data Import | 00:17:00 | ||
Movielens in Neo4J: Spring Application | 00:12:00 | ||
Data Analysis in Graph Databases | 00:05:00 | ||
Examples of Graph Algorithms in Neo4J | 00:18:00 | ||
Graph Databases: Wrap Up | 00:07:00 | ||
Section 10: Hadoop Platform | |||
Introduction to Big Data With Apache Hadoop | 00:06:00 | ||
Big Data Storage in Hadoop (HDFS) | 00:16:00 | ||
Big Data Processing : YARN | 00:11:00 | ||
Installation | 00:13:00 | ||
Data Processing in Hadoop (MapReduce) | 00:14:00 | ||
Examples in MapReduce | 00:25:00 | ||
Data Processing in Hadoop (Pig) | 00:12:00 | ||
Examples in Pig | 00:21:00 | ||
Data Processing in Hadoop (Spark) | 00:23:00 | ||
Examples in Spark | 00:23:00 | ||
Data Analytics with Apache Spark | 00:09:00 | ||
Data Compression | 00:06:00 | ||
Data serialization and storage formats | 00:20:00 | ||
Hadoop: Wrap Up | 00:07:00 | ||
Section 11: Big Data SQL Engines | |||
Introduction Big Data SQL Engines | 00:03:00 | ||
Apache Hive | 00:10:00 | ||
Apache Hive : Demonstration | 00:20:00 | ||
MPP SQL-on-Hadoop: Introduction | 00:03:00 | ||
Impala | 00:06:00 | ||
Impala : Demonstration | 00:18:00 | ||
PrestoDB | 00:13:00 | ||
PrestoDB : Demonstration | 00:14:00 | ||
SQL-on-Hadoop: Wrap Up | 00:02:00 | ||
Section 12: Distributed Commit Log | |||
Data Architectures | 00:05:00 | ||
Introduction to Distributed Commit Logs | 00:07:00 | ||
Apache Kafka | 00:03:00 | ||
Confluent Platform Installation | 00:10:00 | ||
Data Modeling in Kafka I | 00:13:00 | ||
Data Modeling in Kafka II | 00:15:00 | ||
Data Generation for Testing | 00:09:00 | ||
Use case: Toll fee Collection | 00:04:00 | ||
Stream processing | 00:11:00 | ||
Stream Processing II with Stream + Connect APIs | 00:19:00 | ||
Example: Kafka Streams | 00:15:00 | ||
KSQL : Streaming Processing in SQL | 00:04:00 | ||
KSQL: Example | 00:14:00 | ||
Demonstration: NYC Taxi and Fares | 00:01:00 | ||
Streaming: Wrap Up | 00:02:00 | ||
Section 13: Summary | |||
Database Polyglot | 00:04:00 | ||
Extending your knowledge | 00:08:00 | ||
Data Visualization | 00:11:00 | ||
Building a Data-driven Organization - Conclusion | 00:07:00 | ||
Conclusion | 00:03:00 | ||
Resources | |||
Resources - SQL NoSQL Big Data And Hadoop | 00:00:00 |
About The Provider
Janets
London
(160)Janets is an online platform where learners come to learn, and evolve. From the very beginning, the aim of this platform was to create an ever-growing community of avid learners instead of just delivering formulaic education. Emphasising on making the learners equipped for the fu...
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