Course Summary
This course explores emerging technologies in big data, including NoSQL databases, Hadoop, and Spark. Students will learn how to use these technologies to solve real-world big data problems.Key Learning Points
- Hands-on experience with NoSQL databases, Hadoop, and Spark
- Learn how to solve real-world big data problems
- Explore emerging technologies in big data
Job Positions & Salaries of people who have taken this course might have
- USA: $120,000
- India: ₹1,000,000
- Spain: €60,000
- USA: $120,000
- India: ₹1,000,000
- Spain: €60,000
- USA: $80,000
- India: ₹600,000
- Spain: €40,000
- USA: $120,000
- India: ₹1,000,000
- Spain: €60,000
- USA: $80,000
- India: ₹600,000
- Spain: €40,000
- USA: $110,000
- India: ₹900,000
- Spain: €55,000
Related Topics for further study
Learning Outcomes
- Develop a deep understanding of NoSQL databases, Hadoop, and Spark
- Learn how to apply these technologies to solve real-world big data problems
- Gain hands-on experience with big data technologies
Prerequisites or good to have knowledge before taking this course
- Basic programming skills
- Familiarity with SQL
Course Difficulty Level
Beginner/IntermediateCourse Format
- Online
- Self-paced
- Hands-on
Similar Courses
- Big Data Analytics
- Introduction to Data Science in Python
- Data Mining
Related Education Paths
Notable People in This Field
- Chief Architect of Cloudera
- Co-founder of Databricks
- Founder of O'Reilly Media
Related Books
Description
Every time you use Google to search something, every time you use Facebook, Twitter, Instagram or any other SNS (Social Network Service), and every time you buy from a recommended list of products on Amazon.com you are using a big data system. In addition, big data technology supports your smartphone, smartwatch, Alexa, Siri, and automobile (if it is a newer model) every day. The top companies in the world are currently using big data technology, and every company is in need of advanced big data technology support. Simply put, big data technology is not an option for your company, it is a necessity for survival and growth. So now is the right time to learn what big data is and how to use it in advantage of your company. This 6 module course first focuses on the world’s industry market share rankings of big data hardware, software, and professional services, and then covers the world’s top big data product line and service types of the major big data companies. Then the lectures focused on how big data analysis is possible based on the world’s most popular three big data technologies Hadoop, Spark, and Storm. The last part focuses on providing experience on one of the most famous and widely used big data statistical analysis systems in the world, the IBM SPSS Statistics. This course was designed to prepare you to be more successful in businesses strategic planning in the upcoming big data era. Welcome to the amazing Big Data world!
Outline
- Big Data Rankings & Products
- Introduction
- 1.1 Big Data Market Analysis
- 1.2 IBM / 1.3 SAP
- 1.4 Oracle / 1.5 Splunk / 1.6 Accenture / 1.7 Dell / 1.8 Teradata
- 1.9 Microsoft / 1.10 Cisco / 1.11 AWS
- 1.12 Big Data Landscape
- Ungraded Quiz
- Big Data & Hadoop
- 2.1 Big Data in Action / 2.2 Big Data Characteristics
- 2.3 Big Data's 4 Vs / 2.4 How is Big Data being Used?
- 2.5 HADOOP
- 2.6 MapReduce vs. RDBMS
- 2.7 MapReduce
- 2.8 Hadoop vs. SQL(RDBMS & RDSMS)
- 2.9 HDFS Enhancements
- 2.10 Hadoop vs. Hadoop YARN
- Ungraded Quiz
- Spark
- 3.1 Apache Spark
- 3.2 Spark Architecture / 3.3 Spark Family
- 3.4 Spark vs. Hadoop
- 3.5 Spark RDD
- 3.6 Spark Transformations / 3.7 Spark Actions / 3.8 Spark DAG
- 3.9 Spark Programming
- 3.10 Spark Core / 3.11 Spark Variables & Serialization
- 3.12 Spark Cluster Operations / 3.13 Spark Standalone / 3.14 Spark Mesos
- 3.15 Spark YARN
- 3.16 Spark SQL / 3.17 Spark GraphX
- 3.18 Relational DB & Graph DB
- Spark ML & Streaming
- 4.1 Spark ML(Machine Learning)
- 4.2 Spark ML Algorithms part 1
- 4.2 Spark ML Algorithms part 2
- 4.3 Spark Streaming
- Storm
- 5.1 Apache Storm
- 5.2 Storm Applications
- 5.3 Storm Spouts & Streams
- 5.4 Storm Topology & Management
- 5.5 Storm Trident
- IBM SPSS Statistics Project
- 6.1 IBM SPSS Statistics Project
Summary of User Reviews
Learn about emerging technologies in big data and gain valuable insights into the field. This course has received great reviews from many users who appreciate the comprehensive coverage of the subject matter.Key Aspect Users Liked About This Course
Many users found the practical examples and case studies to be very helpful in understanding the concepts.Pros from User Reviews
- Comprehensive coverage of emerging technologies in big data
- Plenty of practical examples and case studies to help understand concepts
- Engaging and knowledgeable instructors
- Good balance between theory and practical applications
- Flexible schedule allows for self-paced learning
Cons from User Reviews
- May be too advanced for beginners in the field
- Some users found the course to be too focused on specific technologies
- Limited interaction with instructors and other students
- Lack of hands-on experience with some of the technologies covered
- Some users found the course to be too theoretical
Jong-Moon Chung
4.7 Raiting
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