Apache Cassandra for Data Engineers
Apache Cassandra for Data Engineers, available at $59.99, has an average rating of 3.75, with 37 lectures, based on 35 reviews, and has 13787 subscribers.
You will learn about Understanding of basic architecture of Apache Cassandra Installing and Configuring Apache Cassandra Learn Data Modeling with Apache Cassandra Learn Cassandra Query Language (CQL) Learn Data Type, User Defined Types, Create, Use, Alter, Drop – KeySpace , Create, Alter, Drop, Truncate – Table, Select, Insert, Update, Delete and Batch Statement, Arithmetic Operators , Secondary Indexes, Functions – Scalar and Aggregate This course is ideal for individuals who are Business analyst, BI Developer, Big Data Engineer, Data Engineer, Data Analyst, Data Scientist, Machine Learning Engineer or You should take this course if want to learn Apache Cassandra completely from scratch It is particularly useful for Business analyst, BI Developer, Big Data Engineer, Data Engineer, Data Analyst, Data Scientist, Machine Learning Engineer or You should take this course if want to learn Apache Cassandra completely from scratch.
Enroll now: Apache Cassandra for Data Engineers
Summary
Title: Apache Cassandra for Data Engineers
Price: $59.99
Average Rating: 3.75
Number of Lectures: 37
Number of Published Lectures: 37
Number of Curriculum Items: 37
Number of Published Curriculum Objects: 37
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Understanding of basic architecture of Apache Cassandra
- Installing and Configuring Apache Cassandra
- Learn Data Modeling with Apache Cassandra
- Learn Cassandra Query Language (CQL)
- Learn Data Type, User Defined Types, Create, Use, Alter, Drop – KeySpace , Create, Alter, Drop, Truncate – Table, Select, Insert, Update, Delete and Batch
- Statement, Arithmetic Operators , Secondary Indexes, Functions – Scalar and Aggregate
Who Should Attend
- Business analyst, BI Developer, Big Data Engineer, Data Engineer, Data Analyst, Data Scientist, Machine Learning Engineer
- You should take this course if want to learn Apache Cassandra completely from scratch
Target Audiences
- Business analyst, BI Developer, Big Data Engineer, Data Engineer, Data Analyst, Data Scientist, Machine Learning Engineer
- You should take this course if want to learn Apache Cassandra completely from scratch
Apache Cassandra is a free and open-source, distributed, wide-column store, NoSQL database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. Cassandra offers support for clusters spanning multiple datacenters with asynchronous masterless replication allowing low latency operations for all clients.
One of the most valuable technology skills is the ability to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. Cassandra offers support for clusters spanning multiple datacenters with asynchronous masterless replication allowing low latency operations for all clients, Apache Cassandra! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA,and more are all using Apache Cassandra!
Cassandra is used by thousands of companies with large active data sets. Adstage, Best Buy, Constant Contact, Coursera, Data Cloud, Outbrain etc. A NoSQL database (originally referring to “non SQL” or “non relational”) is a database that provides a mechanism to store and retrieve data other than the tabular relations used in relational databases. These databases are schema-free, support easy replication, have simple API, eventually consistent, and can handle huge amounts of data.
We will learn:
1) Apache Cassandra
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Overview
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NoSQL
2) Apache Cassandra Installation
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On Ubuntu
3) Cassandra Query Language (CQL)
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Data Type
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User Defined Types
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Create, Use, Alter, Drop – KeySpace
-
Create, Alter, Drop, Truncate – Table
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Select, Insert, Update, Delete and Batch Statement
-
Arithmetic Operators
-
Secondary Indexes
-
Functions – Scalar and Aggregate
4) Apache Cassandra – Architecture Overview
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Storage Engine
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Guarantees
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Snitch
Cassandra provides:
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Fault-Tolerant
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Focus on Quality
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Performant
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You’re In Control
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Security and Observability
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Distributed
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Scalable
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Elastic
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Hybrid
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: What is Apache Cassandra?
Lecture 3: What is No-SQL
Lecture 4: Can Relational Database work for Bigdata
Lecture 5: Tips to Improve Your Course Taking Experience
Chapter 2: Apache Cassandra Installation
Lecture 1: Installation Steps on Linux machines (Ubuntu)
Chapter 3: Cassandra Query Language (CQL)
Lecture 1: Data Types (Part 1 Hands On)
Lecture 2: Data Types (Part 2 Hands On)
Lecture 3: Data Types (Part 3 Hands On)
Lecture 4: User-Defined Types
Lecture 5: Data Definition (DDL) – Create Keyspace [Hands On]
Lecture 6: Data Definition (DDL) – USE Keyspace [Hands On]
Lecture 7: Data Definition (DDL) – ALTER Keyspace [Hands On]
Lecture 8: Data Definition (DDL) – DROP Keyspace [Hands On]
Lecture 9: Data Definition (DDL) – CREATE Table [Hands On]
Lecture 10: Data Definition (DDL) – ALTER Table [Hands On]
Lecture 11: Data Definition (DDL) – DROP Table [Hands On]
Lecture 12: Data Definition (DDL) – TRUNCATE Table [Hands On]
Lecture 13: Data Manipulation (DML) – SELECT Statement [Hands On]
Lecture 14: Data Manipulation (DML) – INSERT Statement [Hands On]
Lecture 15: Data Manipulation (DML) – UPDATE Statement [Hands On]
Lecture 16: Data Manipulation (DML) – DELETE Statement [Hands On]
Lecture 17: Data Manipulation (DML) – BATCH Statement [Hands On]
Lecture 18: Arithmetic Operators [Hands On]
Lecture 19: Secondary Indexes [Hands On]
Lecture 20: Functions
Lecture 21: Scalar Functions
Lecture 22: Aggregate Functions
Chapter 4: Apache Cassandra Architecture
Lecture 1: Apache Cassandra Architecture Overview
Lecture 2: Storage Engine
Lecture 3: Guarantees
Lecture 4: Snitch
Chapter 5: Integration of Apache Spark with Cassandra
Lecture 1: Install Apache Spark On Ubuntu
Lecture 2: Download Code
Lecture 3: Table Creation on Apache Cassandra
Lecture 4: Accessing Cassandra Table in Apache Spark and Writing Data into Cassandra
Lecture 5: Bonus Lecture
Instructors
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Bigdata Engineer
Bigdata Engineer
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 2 votes
- 3 stars: 5 votes
- 4 stars: 13 votes
- 5 stars: 14 votes
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