Best Spark SQL Online Courses, Training with Certification-2022 Updated

Spark SQL is used for processing the structured data. Beginners or students who wants to learn the spark sql online course then this is the advantageous place to do the course. By using spark sql you can import the data and can run the sql queries. From this spark sql online courses students will understand the concepts like features and fundamentals of apache spark, how to execute the data science algorithms and machine learning algorithms, how to write the scripts for spark streaming, apache spark ecosystem, different sub components of apache spark, role of structured data processing in the spark, different execution modes of spark, how to create the RDD, analyzing the errors and results, advanced spark concepts ( broadcast variables, partitioning, caching etc), types of analytics, spark streaming of real time data processing and more. Our panel of experts has selected some best spark sql online courses for you that which are listed below.         

#1 Apache Spark 2.0 + Python : DO Big Data Analytics & ML – Udemy

The Apache Spark plus Python online course was offered by V2 Maestros. Here more than 1k pupils are doing this Apache Spark plus Python online course. Students will acquire more knowledge on features and fundamentals of apache spark. You people can able to execute the data science algorithms and machine learning algorithms. You are able to solve the problems of real world data with the apache spark. Students will write the spark 2.0 scripts for the spark streaming, transformation, actions and spark sql. Instructor also provided 11 articles, 7.5 hours demanded videos and three downloadable video resources with full period access.
Key points:

• From the apache spark introduction students will learn the topics like starting the spark engine, setting the spark environment, apache spark ecosystem, RDD foundation of spark, spark architecture and workflow of project etc.
• Instructor will explain the topics like spark programming with the python, loading the data, sorting the data, transformations, extraction of insights from the data, key value RDD, actions, enhanced capabilities of spark and so on.
• From the spark sql section you people understand the concepts like sql data frames, temp views, temp tables etc. from the spark streaming section instructor explain about the spark streaming architecture and spark streaming real time data processing etc
• From the machine learning with the spark section students will learn about types of machine learning and analytics, analyzing the errors and results, linear regression, principal component analysis, decision trees use case, classification of naive bayes etc.
• From the real world projects students will gain more knowledge on the apache spark.

Rating: 4.1 Out of 5   
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#2 Apache Spark SQL – Bigdata In-Memory Analytics Master Course – Udemy

The Apache spark sql online course is offered by Muthu Kumar (ismac technologist). Students will learn about the syntaxes of spark sql and component architecture in the apache spark. Here 200+ pupils are learning this Apache spark sql online course. Learn about the advanced features like interaction of spark sql with the components and can use different formats of files such as Json, avro and parquet. You can able to use the data from the different data sources like AWS S3, No sql, ms excel, mongodb etc. learn about the RDD, dataframes, table partitioning, bucketing and datasets. Instructor provided two articles, 4.5 hours demanded videos and 21 downloadable video resources.
Key points:

• From the introduction section you people will understand the topics like different sub components of apache spark, role of structured data processing in the spark, spark standalone cluster, lambda architecture and the spark stack.
• Students will learn the different execution modes of spark, spark on the Yarn, spark shell verification, installation of spark, scala shell, pyspark, client mode, spark cluster, accessing the log files, dataframes, datasets, sub components of spark, catalyst optimizer, data files etc.
• Learn the concepts such as spark partitioning, transformation, mysql write and read with the partition, json, avro and parquet files as the datasources, table partition and bucketing, spark sql shell, views, creation of tables in the parquet format etc.
• Instructor explain the concepts like installation of zeppelin, introduction of zeppelin, overview of zeppelin ui, zeppelin interpreter hive and spark, dynamic elements of zeppelin, zeppelin interpreter hfds etc.

Rating: 4.5 out of 5
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#3 Apache Spark With Examples for Big Data Analytics – Udemy

Students who wish to gain more knowledge on apache spark then you people must join in this Apache spark with examples for the big data analytics online course which was created by Code Peekers. Students will understand about the limitations of the mapreduce and also learn the role of spark for overcoming the limitations. You will an expert in using the RDD for designing the applications with spark. Students will understand the scala programming fundamentals and features. Instructor will teach you that how to write the sql queries by utilizing the spark sql and also explains the spark streaming features. This Apache spark online course includes three downloadable resources and four on demanded videos with full period access.
Key points:

• From the scala section you will understand about the operators, functions, arrays, flow controls, concepts of object oriented programming etc.
• From the Apache spark section students will come to know the topics like architecture of spark, spark use cases, eco system and features of spark and uses of big data in apache spark.
• Instructor will teach the topics like configuration of spark, word count program in the spark, how to create the RDD, transformation map and filters, flatmap, intersection, unions, RDD actions, know how to solve the mileage problems using transformations etc.
• From the aggregating the data with pairs of RDD section you will learn the topics such as creation of RDD, reducebyKey, groupbykey, know differences between the groupbykey and reducebykey, join operations, etc.
• You will also understand the advanced spark concepts like partitioning, caching, broadcast variables etc. instructor will also explain the concepts like spark sql, dataframes, datasets, spark streaming, Dstreams and so on.

Rating: 3.4 Out of 5  
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#4 Apache Spark 2.0 + Java : DO Big Data Analytics & ML – Udemy

The Apache Spark plus Java online course is offered by V2 Maestros. Students will acquire more knowledge on architecture and fundamentals of apache spark You can able to execute the data science or machine learning algorithms. Here more than 3k pupils are learning this apache spark plus java online course. You people can able to write the spark scripts for actions, spark sql, spark streaming and transformation and can able to solve the real world data problems by using the apache spark. Students will gain more knowledge on apache spark. Here 11 articles, 7.5 hours demanded videos and four downloadable video resources are also included in this apache spark online course.
Key points:

• From the apache spark introduction section students will understand the concepts like spark engine, setting the java environment, run the java program, eco system of apache spark, foundation of spark, architecture and workflow of spark etc.
• You will understand the concepts of spark programming with the java like loading the data, sorting the data, transformations, extraction of insights of data, actions, key value RDDs, advanced spark, connections of spark with the different servers etc.
• From the Spark sql section students learn about the spark sql data frames, temp views, tables etc, and from the spark streaming section you people will understand the concepts like spark streaming of real time data processing, architecture of spark streaming etc.
• Instructor will explain about the types of analytics, machine learning types, random forest classification, analyzing the errors, classification of decision trees, analysis of principal component, naive bayes classification, k means clustering use cases etc.

Rating: 3.6 Out of 5
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Best Spark SQL Books:

#1 Learning Spark SQL: Architect streaming analytics and machine learning solutions by Aurobindo Sarkar
#2 Spark SQL 2.x Fundamentals & Cookbook: More than 35 Exercises  by HadoopExam Learning Resources
#3 Beginning Apache Spark 2: With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library by Hien Luu
#4 Spark SQL A Complete Guide by Gerardus Blokdyk