Apache spark is known to be an open-source unified analytics engine that is used for large-scale data processing. The aim of apache spark is to provide an interface for programming all the clusters with implicit data parallelism and fault tolerance. To know all about apache spark, our team at takethiscourse.net has compiled a list of 10 Best Apache Spark Certification & Training Courses. With the help of this list, all those who are interested in apache spark can find the right course for themselves.
| # | Course Name | University/Organization | Ratings | Duration |
| 1. | Apache Spark Fundamentals | PluralSight | ★★★★☆ 4.0 | 04 Hours |
| 2. | Apache Spark 3 – Databricks Certified Associate Developer | Udemy | ★★★★★ 4.5 | 05 Hours |
| 3. | Big Data Analysis with Scala and Spark | EPFL | ★★★★★ 4.6 | 27 Hours |
| 4. | Apache Spark with Scala – Hands On with Big Data! | Udemy | ★★★★★ 4.5 | 09 Hours |
| 5. | CCA 175 – Spark and Hadoop Developer Certification – Scala | Udemy | ★★★★★ 4.5 | 24 Hours |
| 6. | Big Data Analytics Using Spark | University of San Diego | ★★★★☆ 4.4 | 120 Hours |
| 7. | Apache Spark 3 – Databricks Certification Practice (PySpark) | Udemy | ★★★★☆ 4.3 | — |
| 8. | Developing Spark Applications with Python & Cloudera | PluralSight | ★★★★☆ 4.6 | 06 Hours |
| 9. | Explore stock prices with Spark SQL | Coursera | ★★★★☆ 4.5 | 02 Hours |
| 10. | Taming Big Data with Apache Spark and Python – Hands On! | Udemy | ★★★★★ 4.5 | 07 Hours |
Below are the names and details of the 10 Best Apache Spark Certification Courses.
| Online Course Effectiveness Score | |||
| Content | Engagement | Practice | Career Benefit |
| Good ★★★★☆ | Good ★★★★☆ | Fair ★★★☆☆ | Fair ★★★☆☆ |
In this course, you will be taught how to use Apache Spark for analyzing your big data at lightning-fast speed. Here you will dive deep into the SQL concepts and stream check out the sequel. With that, you will learn to handle fast data with Apache Spark SQL and streaming. When you start the course, the instructor will first talk about its history before teaching how to create a Wikipedia analysis application. Then you will learn to avoid a few commonly encountered rough edges of Spark. The aim here is to leave you with a tool belt capable of creating your own performance-maximized Spark application. Check out the best looker training classes here.
| Online Course Effectiveness Score | |||
| Content | Engagement | Practice | Career Benefit |
| Good ★★★★☆ | Good ★★★★☆ | Fair ★★★☆☆ | Fair ★★★☆☆ |
In this course, you will learn Apache Spark 3 using Scala in detail. The instructor will explain how you can earn the databricks associate certification for proving your skills as a data professional. The instructor is going to explain how you can prepare for the databricks certified associate developer for Apache Spark 3 certification exam. Here you will understand the architecture of an Apache Spark runs on a cluster of computer. Next, you will learn all about the execution of hierarchy of Apache Spark. If you’re interested in enhancing your build automation skills, check out our selection of Apache Maven training programs. After that, you will learn to create dataframe from files and Scala collections. In addition, the instructor will talk about the spark dataframe API and SQL functions. Next, you will learn the different techniques to select the columns of a data frame.
| Online Course Effectiveness Score | |||
| Content | Engagement | Practice | Career Benefit |
| Excellent ★★★★★ | Excellent ★★★★★ | Good ★★★★☆ | Good ★★★★☆ |
In this course, you will be taught how to read data from persistent storage and load it into Apache Spark. You will learn to manipulate data with Spark and Scala in the most effective possible manner. With that, you will learn to express algorithms for data analysis in a functional style. After that, you will understand how to avoid shuffles and recomputation in Spark and much more. You might also be interested in best Big Data certifications.
The assignments in this course were clearly designed to focus right to the point. The way this instructor manage to explain all about the configuration and initialization code of the project left me to fill all the answers easily (Massimilano D, ★★★★★).
| Online Course Effectiveness Score | |||
| Content | Engagement | Practice | Career Benefit |
| Good ★★★★☆ | Good ★★★★☆ | Fair ★★★☆☆ | Fair ★★★☆☆ |
In this course you will learn to frame big data analysis problems as Apache Spark scripts in detail. The instructor will explain how you can develop distributed code using the Scala programming language. After that, you will learn to optimize spark jobs through partitioning, caching, and other techniques. Next, you will learn to build, deploy, and run Spark scripts on Hadoop clusters. Then you will learn how to process continual streams of data with Spark streaming. Similarly, you will learn to transform structured data using SparkSQL, datasets, and dataframes. In addition, the instructor will explain how to traverse and analyze graph structures using GraphX. Finally, you will learn to analyze massive data set with machine learning on Spark. You might also be interested in learn Artificial Intelligence & Machine Learning.
| Online Course Effectiveness Score | |||
| Content | Engagement | Practice | Career Benefit |
| Good ★★★★☆ | Good ★★★★☆ | Fair ★★★☆☆ | Fair ★★★☆☆ |
This course encloses in it the entire curriculum of CCA Spark and Hadoop developer. The instructor is going to explain in detail all the HDFS commands in a detailed manner. With that, you will also get a chance to understand the Scala fundamentals. The instructor aims to explain everything in detail that can help to pass the Spark and Hadoop developer certification. Next, you will understand what Spark is where all the actions and transformations in Spark will be discussed in detail. Thus completing this course, will help you pass the certification exam in the best possible manner.
In this course, you will understand all about programming Spark using Pyspark. The instructor will explain how to identify the computational tradeoffs in a Spark application. After that, you will be taught how to perform data loading and cleaning using Spark and Parquet. Then you will learn to model data through statistical and machine learning methods. Going further, you will get a chance to understand how to perform supervised and unsupervised machine learning on massive datasets with the help of Machine Learning Library (MLlib).
| Online Course Effectiveness Score | |||
| Content | Engagement | Practice | Career Benefit |
| Good ★★★★☆ | Good ★★★★☆ | Fair ★★★☆☆ | Fair ★★★☆☆ |
This course encloses in it four high-quality practice tests in PySpark. Each practice exam contains 60 questions. Solving each of the practice exams is going to help you test yourself and improve your knowledge for Databricks. We strongly urge all our learners to solve these practice tests carefully as it is a very convenient way to evaluate yourself and get an idea of the actual exam. So take this course now and prepare for the Certified Associate Developer for the Apache Spark 3.0 exam from the comfort of your home.
The four practice tests were really helpful for self-evaluation. The after exam review of answers was also helpful in knowing where I made mistakes and cleared many doubts. A big thumbs up to this course and the ones who created it (Mainak D, ★★★★★).
| Online Course Effectiveness Score | |||
| Content | Engagement | Practice | Career Benefit |
| Good ★★★★☆ | Good ★★★★☆ | Fair ★★★☆☆ | Fair ★★★☆☆ |
This is a very interesting course in which you will learn to develop Spark application using Python and Cloudera. In cloudera spark certification, the instructor will explain how you can process data at scales which you previously thought were out of reach. After that, you will learn all the technical details of how Spark actually works. Then you will explore the RDD API which is the original core abstraction of Spark. Similarly, you will be taught how to become more proficient using spark SQL and dataframes and much more in this course. You can also checkout free Python Bootcamp.
| Online Course Effectiveness Score | |||
| Content | Engagement | Practice | Career Benefit |
| Excellent ★★★★★ | Excellent ★★★★★ | Fair ★★★☆☆ | Fair ★★★☆☆ |
In this one hour project based course, you will learn to interact with a Spark cluster using Jupyter notebook. The instructor will explain how to start a Spark application. Next, you will learn to utilize Spark resilient destriubted datasets and Spar data frames to explore a dataset. After that, you will learn to choose the best tools to use for each scenario. And then finally, you will be taught how to save your results in Parquet tables. You can also checkout more online courses with certificates here.
| Online Course Effectiveness Score | |||
| Content | Engagement | Practice | Career Benefit |
| Good ★★★★☆ | Good ★★★★☆ | Fair ★★★☆☆ | Fair ★★★☆☆ |
This course is an Apache Spark tutorial that contains 20+ hands-on examples of analyzing large data sets in your desktop or on Hadoop using Python. You will be taught how to use dataframes and structured streaming in Spark 3. With that, you will learn to frame big data analysis problems as Spark problems. After that, the instructor will explain how you can use Amazon’s elastic mapreduce service for running your job on a cluster with Hadoop YARN. Next, you will learn to install and run Apache Spark on a desktop computer or on a cluster. Similarly, you will learn to use Spark’s resilient distributed datasets for processing and analyzing large data sets across many CPU’s. Then you will learn to implement iterative algorithms such as breadths-first search using Spark and much more in the course,
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As you can see, these 10 Best Apache Spark Certification & Training Courses are equipped with all the information and learning content you need to understand all about Apache Spark certification. So, read the details of the 10 Best Apache Spark Certification & Training Courses now and choose the one that is suitable for you. And don’t forget to stay safe, stay home, and never stop learning.
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