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Introduction to Scala - Part 1 | Big Data Hadoop Spark | CloudxLab
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This CloudxLab Introduction to Scala tutorial helps you to understand Scala in detail. Below are the topics covered in this tutorial:
1) Scala - Scalable Language
2) Why Scala?
3) Scala - History
4) Scala - Hello World - Example
5) Scala - Hello World - Compiling and Running
6) Variables in Scala
7) Immutable variables
8) Type inference in Scala
9) Classes in Scala
10) Singleton Objects in Scala
Subscribe to our channel to get video updates. Hit the subscribe button above.
- - - - - - - - - - - - - -
How does it work?
1. This is a 60+ hour online instructor-led course
2. With the course, you get access to real-time distributed production cluster so that you can learn by doing hands-on
3. Cluster comes with all the tools preinstalled so that you can focus on learning than wasting time in setting up the cluster
4. Each topic consists of videos, assessments, questions and case studies to make sure you master the topic
5. The course is compatible with CCA175, HDP Certified Developer, HDP Certified Developer: Spark certifications
6. We have a 24×7 support and forum access to answer all your queries throughout your learning journey
7. At the end of the training, you will work on real-life projects on which we will provide you a grade and a verifiable certificate!
8. Optionally, Subscribe to 1:1 mentoring sessions and get guidance from industry leaders and professional
- - - - - - - - - - - - - -
About the Course
CloudxLab's Big Data with Hadoop & Spark online training is designed to help you become a top Big Data developer. You will learn Hadoop and Spark to drive better business decisions and solve real-world problems. During this course, our expert will help you in
1. Introduction to Big Data
2. ZooKeeper
3. HDFS
4. YARN
5. MapReduce Basics
6. Write your own MapReduce programs
7. Analyzing and processing data with Pig and Hive
8. Schedule jobs using Oozie
9. NoSQL and HBase
10. Importing data with Sqoop and Flume
11. Implement best practices for Hadoop development
12. Introduction to Apache Spark
13. Introduction to Scala
14. Spark RDD and RDD operations
15. Writing and deploying Spark applications
16. Common patterns in Spark data processing
17. Data Formats - JSON, XML, AVRO, SequenceFile, Parquet, Protocol Buffers, RCFile
18. DataFrames and SparkSQL
19. Machine Learning with Spark using Spark MLlib
20. Introduction to GraphX
21. Work on real-life projects
- - - - - - - - - - - - - -
Who should go for this course?
This course is for anyone who wants to become expert in Big Data with Hadoop and Spark and progress in the career. Ideally, this course will help professionals in the following groups
1. Analytics professionals
2. BI /ETL/DW professionals
3. Project managers
4. Testing professionals
5. Mainframe professionals
6. Software developers and architects
7. Recent graduates passionate about building a successful career in Big Data
- - - - - - - - - - - - - -
Why Learn Hadoop and Spark?
As humans, we are immersed in data in our every-day lives. As per IBM, the data doubles every two years on this planet. The value that data holds can only be understood when we can start to identify patterns and trends in the data. Normal computing principles do not work when data becomes huge.
There is massive growth in the big data space, and job opportunities are skyrocketing, making this the perfect time to launch your career in this space.
In this specialization, you will learn Hadoop and Spark to drive better business decisions and solve real-world problems
Customer Review:
Jose Manuel Ramirez Leon, Data Engineer, PwC - I signed up for CloudxLab's Big Data with Hadoop and Spark course. I went through all of the material, which includes very well narrated videos and very clear slides. I finally had to tackle a project in spark were I had to work hard to complete it and finally got my certificate. As I already said, they were very attentive and knowledgeable in their support throughout the whole course. I am going to use the site to prepare for the CCA175 exam now. I thoroughly recommend CloudxLab for anyone who needs to learn Spark, Hadoop, and the whole Big Data ecosystem
1) Scala - Scalable Language
2) Why Scala?
3) Scala - History
4) Scala - Hello World - Example
5) Scala - Hello World - Compiling and Running
6) Variables in Scala
7) Immutable variables
8) Type inference in Scala
9) Classes in Scala
10) Singleton Objects in Scala
Subscribe to our channel to get video updates. Hit the subscribe button above.
- - - - - - - - - - - - - -
How does it work?
1. This is a 60+ hour online instructor-led course
2. With the course, you get access to real-time distributed production cluster so that you can learn by doing hands-on
3. Cluster comes with all the tools preinstalled so that you can focus on learning than wasting time in setting up the cluster
4. Each topic consists of videos, assessments, questions and case studies to make sure you master the topic
5. The course is compatible with CCA175, HDP Certified Developer, HDP Certified Developer: Spark certifications
6. We have a 24×7 support and forum access to answer all your queries throughout your learning journey
7. At the end of the training, you will work on real-life projects on which we will provide you a grade and a verifiable certificate!
8. Optionally, Subscribe to 1:1 mentoring sessions and get guidance from industry leaders and professional
- - - - - - - - - - - - - -
About the Course
CloudxLab's Big Data with Hadoop & Spark online training is designed to help you become a top Big Data developer. You will learn Hadoop and Spark to drive better business decisions and solve real-world problems. During this course, our expert will help you in
1. Introduction to Big Data
2. ZooKeeper
3. HDFS
4. YARN
5. MapReduce Basics
6. Write your own MapReduce programs
7. Analyzing and processing data with Pig and Hive
8. Schedule jobs using Oozie
9. NoSQL and HBase
10. Importing data with Sqoop and Flume
11. Implement best practices for Hadoop development
12. Introduction to Apache Spark
13. Introduction to Scala
14. Spark RDD and RDD operations
15. Writing and deploying Spark applications
16. Common patterns in Spark data processing
17. Data Formats - JSON, XML, AVRO, SequenceFile, Parquet, Protocol Buffers, RCFile
18. DataFrames and SparkSQL
19. Machine Learning with Spark using Spark MLlib
20. Introduction to GraphX
21. Work on real-life projects
- - - - - - - - - - - - - -
Who should go for this course?
This course is for anyone who wants to become expert in Big Data with Hadoop and Spark and progress in the career. Ideally, this course will help professionals in the following groups
1. Analytics professionals
2. BI /ETL/DW professionals
3. Project managers
4. Testing professionals
5. Mainframe professionals
6. Software developers and architects
7. Recent graduates passionate about building a successful career in Big Data
- - - - - - - - - - - - - -
Why Learn Hadoop and Spark?
As humans, we are immersed in data in our every-day lives. As per IBM, the data doubles every two years on this planet. The value that data holds can only be understood when we can start to identify patterns and trends in the data. Normal computing principles do not work when data becomes huge.
There is massive growth in the big data space, and job opportunities are skyrocketing, making this the perfect time to launch your career in this space.
In this specialization, you will learn Hadoop and Spark to drive better business decisions and solve real-world problems
Customer Review:
Jose Manuel Ramirez Leon, Data Engineer, PwC - I signed up for CloudxLab's Big Data with Hadoop and Spark course. I went through all of the material, which includes very well narrated videos and very clear slides. I finally had to tackle a project in spark were I had to work hard to complete it and finally got my certificate. As I already said, they were very attentive and knowledgeable in their support throughout the whole course. I am going to use the site to prepare for the CCA175 exam now. I thoroughly recommend CloudxLab for anyone who needs to learn Spark, Hadoop, and the whole Big Data ecosystem
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