Description
SQL, NoSQL, Big Data and Hadoop course. SQL, NoSQL, Big Data and Hadoop course. A comprehensive look at the broad landscape of database systems and how to make good choices for your next project The first time we ask or answer any database questions is when building an application. The next one is either when our database selection becomes a bottleneck or when we need to do large-scale data analysis. This course covers almost all database or data storage platform classes and when to use them. This is a great journey through databases that will be great for software developers, big data engineers, data analysts as well as decision makers. It’s not an in-depth look at each database, but promises to get you started with your first project for each class. In this course, we are going to address it
- Relational database systems, their characteristics, uses and limitations
- Why NoSQL?
- CAP theorem
- Key-Value stores and their uses
- Document-oriented databases and their uses
- Wide column stores and their uses
- Time series databases and their uses
- Search engines and their uses
- Graph databases and their uses
- Distributed reporting and real-time streaming systems
- Hadoop and its uses
- SQL-on-Hadoop tools and their uses
- How to make informed decisions in building a good data storage platform
What is the target audience?
- Chief Data Officers
- Application developer
- Data analyst
- Data architects
- data engineers
- students
- Anyone who wants to understand Hadoop from a database perspective.
What does this course not include?
This course does not have access to any of the databases from an administrative point of view. So we don’t cover administrative tasks like security, backup, recovery, migration and the like.
Very deep features in the particular databases discussed. For example, we won’t go into the different database engines for MySQL or how to write stored procedures.
What are the requirements?
The lab of this course can be done on any machine (Microsoft Windows, Linux, Mac OX).
However, HBase or Hadoop training requires you to have a Hadoop environment. The suggestion for this is to use a pre-installed sandbox, a cloud offering or to install your own custom sandbox box.
What do I need to know to get the best results from this course?
This course does not require any knowledge of NoSQL or data engineering. However, a little knowledge of RDBMS (even Microsoft Access) is enough to put you in the best position for this course.
What you will learn in SQL, NoSQL, Big Data and Hadoop course
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Creating intuition from RDBMS system through NoSQL to big data on Cloud platform and Hadoop
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Understand the different classifications of distributed databases
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Know when and how to use Redis or Key-Value stores
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Understanding when and how to use MongoDB or Document-oriented databases
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Understand and use HBase as a column-wide store
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Understanding and Using Time Series Database (InfluxDB)
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Understanding and using Elasticsearch as a search engine
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Understand and use Neo4J as a graph database management system
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Understanding large-scale distributed data storage and processing in Hadoop
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Understanding when and how to use and build streaming architecture with Apache Kafka
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Use Apache Hive and understand where to use it in relation to big data platforms
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Learn about some of the SQL-on-Hadoop engines and how they work
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Learn how to use data engineering capabilities to enable a data-driven organization
This course is suitable for people who
- Chief Data Officers
- IT decision makers
- Database architects
- Software developers
- Big data engineers
- Anyone who wants to understand where each NoSQL database class fits best.
- Anyone curious about NoSQL or big data systems
SQL, NoSQL, Big Data and Hadoop course specifications
- Publisher: Udemy
- teacher: Michael Enudi
- Training level: beginner to advanced
- Training duration: 22 hours and 6 minutes
- Number of courses: 129
Course headings
SQL, NoSQL, Big Data and Hadoop course prerequisites
- No strict requirement but knowledge of relational database will be helpful.
- A Windows, Linux or Mac machine to set up a lab
- Any Hadoop Vendor Sandbox like Cloudera Quickstart or HDP VM (Hadoop)
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
Subtitle: None
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
6.2 GB
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