Sql Nosql Big Data And Hadoop

Our comprehensive program is meticulously crafted to equip you with the essential skills and knowledge required to thrive in your chosen field. Developed by seasoned professionals with years of industry experience, this course is ideal for those seeking to kickstart their careers or enhance their existing skill set.

Featuring an engaging audio-visual presentation and easily digestible modules, our program facilitates a self-paced learning experience. Our dedicated online support team is available on weekdays to provide assistance throughout your journey.

Key Learning Outcomes

• Grasp the fundamentals and their practical applications.
• Cultivate the necessary skills for success in your field.
• Apply newfound knowledge to real-world scenarios.
• Develop effective solutions for relevant topics.
• Elevate your employability and career prospects.

Course Curriculum

• Module 01: Introduction
• Module 02: Building a Data-driven Organization &#; Introduction
• Module 03: Data Engineering
• Module 04: Learning Environment &#; Course Material
• Module 05: Movielens Dataset
• Module 06: Introduction to Relational Databases
• Module 07: Movielens Relational Model
• Module 08: Movielens Relational Model: Normalization vs Denormalization
• Module 09: Movielens in MySQL: Database import
• Module 10: OLTP in RDBMS: CRUD Applications
• Module 11: Indexes
• Module 12: Data Warehousing
• Module 13: Analytical Processing
• Module 14: Transaction Logs
• Module 15: Relational Databases &#; Wrap Up
• Module 16: Distributed Databases
• Module 17: CAP Theorem
• Module 18: BASE
• Module 19: Other Classifications
• Module 20: Introduction to KV Stores
• Module 21: Redis
• Module 22: Install Redis
• Module 23: Time Complexity of Algorithm
• Module 24: Data Structures in Redis : Key &#; String
• Module 25: Data Structures in Redis II : Hash &#; List
• Module 26: Data structures in Redis III : Set &#; Sorted Set
• Module 27: Data structures in Redis IV : Geo &#; HyperLogLog
• Module 28: Data structures in Redis V : Pubsub &#; Transaction
• Module 29: Modelling Movielens in Redis
• Module 30: Redis Example in Application
• Module 31: KV Stores: Wrap Up
• Module 32: Introduction to Document-Oriented Databases
• Module 33: MongoDB
• Module 34: MongoDB Installation
• Module 35: Movielens in MongoDB
• Module 36: Movielens in MongoDB: Normalization vs Denormalization
• Module 37: Movielens in MongoDB: Implementation
• Module 38: CRUD Operations in MongoDB
• Module 39: MongoDB Aggregation Query &#; MapReduce function
• Module 40: MongoDB Aggregation Query &#; Aggregation Framework
• Module 41: Demo: MySQL vs MongoDB. Modeling with Spark
• Module 42: Document Stores: Wrap Up
• Module 43: Introduction to Search Engine Stores
• Module 44: Elasticsearch
• Module 45: Basic Terms Concepts and Description
• Module 46: Movielens in Elastisearch
• Module 47: CRUD in Elasticsearch
• Module 48: Search Queries in Elasticsearch
• Module 49: Aggregation Queries in Elasticsearch
• Module 50: The Elastic Stack (ELK)
• Module 51: Use case: UFO Sighting in ElasticSearch
• Module 52: Search Engines: Wrap Up
• Module 53: Introduction to Columnar databases
• Module 54: HBase
• Module 55: HBase Architecture
• Module 56: HBase Installation
• Module 57: Apache Zookeeper
• Module 58: Movielens Data in HBase
• Module 59: Performing CRUD in HBase
• Module 60: SQL on HBase &#; Apache Phoenix
• Module 61: SQL on HBase &#; Apache Phoenix &#; Movielens
• Module 62: Demo : GeoLife GPS Trajectories
• Module 63: Wide Column Store: Wrap Up
• Module 64: InfluxDB
• Module 65: InfluxDB Installation
• Module 66: InfluxDB Data Model
• Module 67: Data manipulation in InfluxDB
• Module 68: TICK Stack I
• Module 69: TICK Stack II
• Module 70: Time Series Databases: Wrap Up
• Module 71: Introduction to Graph Databases
• Module 72: Modelling in Graph
• Module 73: Modelling Movielens as a Graph
• Module 74: Neo4J
• Module 75: Neo4J installation
• Module 76: Cypher
• Module 77: Cypher II
• Module 78: Movielens in Neo4J: Data Import
• Module 79: Movielens in Neo4J: Spring Application
• Module 80: Data Analysis in Graph Databases
• Module 81: Examples of Graph Algorithms in Neo4J
• Module 82: Graph Databases: Wrap Up
• Module 83: Introduction to Big Data With Apache Hadoop
• Module 84: Big Data Storage in Hadoop (HDFS)
• Module 85: Big Data Processing : YARN
• Module 86: Data Processing in Hadoop (MapReduce)
• Module 87: Examples in MapReduce
• Module 88: Data Processing in Hadoop (Pig)
• Module 89: Examples in Pig
• Module 90: Data Processing in Hadoop (Spark)
• Module 91: Examples in Spark
• Module 92: Data Analytics with Apache Spark
• Module 93: Data Compression
• Module 94: Data serialization and storage formats
• Module 95: Hadoop: Wrap Up
• Module 96: Introduction Big Data SQL Engines
• Module 97: Apache Hive
• Module 98: Apache Hive : Demonstration
• Module 99: MPP SQL-on-Hadoop: Introduction
• Module 100: Impala
• Module 101: Impala : Demonstration
• Module 102: PrestoDB
• Module 103: PrestoDB : Demonstration
• Module 104: SQL-on-Hadoop: Wrap Up
• Module 105: Data Architectures
• Module 106: Introduction to Distributed Commit Logs
• Module 107: Apache Kafka
• Module 108: Confluent Platform Installation
• Module 109: Data Modeling in Kafka I
• Module 110: Data Modeling in Kafka II
• Module 111: Data Generation for Testing
• Module 112: Use case: Toll fee Collection
• Module 113: Stream processing
• Module 114: Stream Processing II with Stream + Connect APIs
• Module 115: Example: Kafka Streams
• Module 116: KSQL : Streaming Processing in SQL
• Module 117: KSQL: Example
• Module 118: Demonstration: NYC Taxi and Fares
• Module 119: Streaming: Wrap Up
• Module 120: Database Polyglot
• Module 121: Extending your knowledge
• Module 122: Data Visualization
• Module 123: Building a Data-driven Organization &#; Conclusion
• Module 124: Resources &#; SQL NoSQL Big Data and Hadoop
• Module 125: Assignment -SQL NoSQL Big Data and Hadoop

Designed to give you a competitive edge in the job market, this course offers lifetime access to materials and the flexibility to learn at your own pace, from the comfort of your home.

Why Choose Us?

• Learn at your own pace with 24/7 online access to course materials.
• Benefit from full tutor support available Monday through Friday.
• Acquire essential skills in the convenience of your home through informative video modules.
• Enjoy 24/7 assistance and advice via email and live chat.
• Study on your preferred device – computer, tablet, or mobile.
• Gain a thorough understanding of the course content.
• Improve professional skills and earning potential upon completion.
• Access lifetime course materials and expert guidance.
• Enjoy the convenience of online learning with flexible schedules.

Why Enroll in This Course?

Our program provides a comprehensive introduction to the subject matter, laying a solid foundation for further study. It empowers students to acquire knowledge and skills applicable to both their professional and personal lives.

Assessment

The course incorporates quizzes to evaluate your understanding and retention of the material. These quizzes pinpoint areas for further practice, allowing you to review course materials as needed. Successfully passing the final quiz qualifies you for a certificate of achievement.

Requirements

There are no formal requirements for this course, it is open to anyone who is interested in learning the material.

Career Path

Our course is meticulously designed to equip you for success in your chosen field. Upon completion, you’ll have the qualifications to pursue diverse career opportunities across various industries.