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"apache spark scala" courses, certification and training

  1. Data Science Architect Master's Course in Association with IBM

    Our Data Science Architect master's course lets you gain proficiency in Data Science. You will work on real-world projects in Data Science with R, Apache Spark, Scala, Deep Learning, Tableau, Data Science with SAS, SQL, MongoDB and more. In this program, you will cover 12 courses and 48 industry-based projects with 1 CAPSTONE project. As a part of online classroom training, you will receive five additional self-paced courses co-created with IBM namely Deep Learning with TensorFlow, Build Chatbots with Watson Assistant, R for Data Science, Spark MLlIb, and Python for Data Science. Moreover, you will also get an exclusive access to IBM Watson Cloud Lab for Chatbots course.

    Online ClassroomIntermediate
    Enquire Now

    Tableau, Data Science, Machine Learning

    Offered by:  Intellipaat
  2. Apache Spark and Scala (Online Classroom-Flexi Pass)

    Apache Spark is an open-source cluster-computing framework used for Big Data Processing. It combines SQL, streaming and complex analytics together seamlessly to handle a wide range of data processing scenarios. Scala is a general-purpose programming language which is supported by Apache Spark. This Apache Spark and Scala course is designed for candidates who want to advance their skills and expertise in Big Data Hadoop Ecosystem. Designed by experts in the industry, this course offers training on various topics like Spark Streaming, Spark SQL, Machine Learning Programming, GraphX Programming and Shell Scripting Spark. In addition to this, the candidates get to work on real life industry project. Upon completion of this course, successful candidates get experience certificate in Apache Spark and Scala.

    1107 Students
    47 HoursOnline ClassroomIntermediate
    $ 313 Enquire Now

    Big Data, Machine Learning, , Operations

    Offered by:  Simplilearn
  3. Apache Spark and Scala Certification Training

    Apache Spark is an open-source cluster-computing framework used for Big Data Processing. It combines SQL, streaming and complex analytics together seamlessly to handle a wide range of data processing scenarios. Scala is a general-purpose programming language which is supported by Apache Spark. This Apache Spark and Scala course is designed for candidates who want to advance their skills and expertise in Big Data Hadoop Ecosystem. Designed by experts in the industry, this course offers training on various topics like Spark Streaming, Spark SQL, Machine Learning Programming, GraphX Programming and Shell Scripting Spark. In addition to this, the candidates get to work on real life industry project. Upon completion of this course, successful candidates get experience certificate in Apache Spark and Scala.

    1107 Students
    15 HoursOnline self studyIntermediate
    $ 175 Enquire Now

    Big Data, Machine Learning, Operations

    Offered by:  Simplilearn
  4. Spark, Scala and Storm combo

    It is an all-in-course designed to give a 360 degree overview of real-time processing of unbound data streams using Apache Storm and creating applications in Spark using Scala programming. The major topics include concepts of Big Data world, Batch Analysis, Types of Analytics and usage of Apache Storm for real-time Big Data Analytics, Comparison between Spark and Hadoop and Techniques to increase your application performance, enabling high-speed processing.

    8122 Students
    40 Hours Online self studyIntermediate
    $ 234

    Big Data, Machine Learning, , Law, Operations

    Offered by:  Intellipaat
  5. Taming Big Data with Apache Spark 3 and Python - Hands On!

    New! Updated for Spark 3 and with a hands-on structured streaming example. Big data" analysis is a hot and highly valuable skill and this course will teach you the hottest technology in big data: Apache Spark . Employers including Amazon , EBay , NASA JPL , and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You'll learn those same techniques, using your own Windows system right at home. It's easier than you might think. Learn and master the art of framing data analysis problems as Spark problems through over 15 hands-on examples, and then scale them up to run on cloud computing services in this course. You'll be learning from an ex-engineer and senior manager from Amazon and IMDb. Learn the concepts of Spark's Resilient Distributed Datastores Develop and run Spark jobs quickly using Python Translate complex analysis problems into iterative or multi-stage Spark scripts Scale up to larger data sets using Amazon's Elastic MapReduce service Understand how Hadoop YARN distributes Spark across computing clusters Learn about other Spark technologies, like Spark SQL, Spark Streaming, and GraphX By the end of this course, you'll be running code that analyzes gigabytes worth of information in the cloud in a matter of minutes. This course uses the familiar Python programming language ; if you'd rather use Scala to get the best performance out of Spark, see my "Apache Spark with Scala - Hands On with Big Data" course instead. We'll have some fun along the way. You'll get warmed up with some simple examples of using Spark to analyze movie ratings data and text in a book. Once you've got the basics under your belt, we'll move to some more complex and interesting tasks. We'll use a million movie ratings to find movies that are similar to each other, and you might even discover some new movies you might like in the process! We'll analyze a social graph of superheroes, and learn who the most popular" superhero is and develop a system to find degrees of separation" between superheroes. Are all Marvel superheroes within a few degrees of being connected to The Incredible Hulk? You'll find the answer. This course is very hands-on; you'll spend most of your time following along with the instructor as we write, analyze, and run real code together both on your own system, and in the cloud using Amazon's Elastic MapReduce service. 5 hours of video content is included, with over 15 real examples of increasing complexity you can build, run and study yourself. Move through them at your own pace, on your own schedule. The course wraps up with an overview of other Spark-based technologies, including Spark SQL, Spark Streaming, and GraphX. Wrangling big data with Apache Spark is an important skill in today's technical world. Enroll now! " I studied "Taming Big Data with Apache Spark and Python" with Frank Kane, and helped me build a great platform for Big Data as a Service for my company. I recommend the course! " - Cleuton Sampaio De Melo Jr.

    Online self studyIntermediate
    ₹ 9,600 Enquire Now

    Big Data, Cloud Computing, Data Analysis, Machine Learning, Data Science,

    Offered by:  UDEMY
  6. Apache Spark Fundamentals

    Apache Spark Fundamentals course introduces to the various components of the spark framework to efficiently process, visualize and analyze data. The course takes you through spark applications using Python, Scala and Java. You will also learn about the apache spark programming fundamentals like resilient distributed datasets and check which operations to be used to do a transformation operation on the RDD. This will also show you how to save and load data from different data sources like different type of files, RDBMS databases and NO-SQL. At the end of the course, you will explore effective spark application and execute it on Hadoop cluster to make informed business decisions.

    3 HoursOnline self studyIntermediate
    $ 65

    Operations,

    Offered by:  Skillsoft
  7. Apache Spark 2 with Scala - Hands On with Big Data!

    New! Updated for Spark 2.3. â?? Big data" analysis is a hot and highly valuable skill â?? and this course will teach you the hottest technology in big data: Apache Spark . Employers including Amazon , EBay , NASA JPL , and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You'll learn those same techniques, using your own Windows system right at home. It's easier than you might think, and you'll be learning from an ex-engineer and senior manager from Amazon and IMDb. Spark works best when using the Scala programming language, and this course includes a crash-course in Scala to get you up to speed quickly. For those more familiar with Python however, a Python version of this class is also available: "Taming Big Data with Apache Spark and Python - Hands On". Learn and master the art of framing data analysis problems as Spark problems through over 20 hands-on examples , and then scale them up to run on cloud computing services in this course. Learn the concepts of Spark's Resilient Distributed Datastores Get a crash course in the Scala programming language Develop and run Spark jobs quickly using Scala Translate complex analysis problems into iterative or multi-stage Spark scripts Scale up to larger data sets using Amazon's Elastic MapReduce service Understand how Hadoop YARN distributes Spark across computing clusters Practice using other Spark technologies, like Spark SQL, DataFrames, DataSets, Spark Streaming, and GraphX By the end of this course, you'll be running code that analyzes gigabytes worth of information â?? in the cloud â?? in a matter of minutes. We'll have some fun along the way. You'll get warmed up with some simple examples of using Spark to analyze movie ratings data and text in a book. Once you've got the basics under your belt, we'll move to some more complex and interesting tasks. We'll use a million movie ratings to find movies that are similar to each other, and you might even discover some new movies you might like in the process! We'll analyze a social graph of superheroes, and learn who the most â?? popular" superhero is â?? and develop a system to find â?? degrees of separation" between superheroes. Are all Marvel superheroes within a few degrees of being connected to SpiderMan? You'll find the answer. This course is very hands-on; you'll spend most of your time following along with the instructor as we write, analyze, and run real code together â?? both on your own system, and in the cloud using Amazon's Elastic MapReduce service. 7.5 hours of video content is included, with over 20 real examples of increasing complexity you can build, run and study yourself. Move through them at your own pace, on your own schedule. The course wraps up with an overview of other Spark-based technologies, including Spark SQL, Spark Streaming, and GraphX. Enroll now, and enjoy the course! "I studied Spark for the first time using Frank's course "Apache Spark 2 with Scala - Hands On with Big Data!". It was a great starting point for me, gaining knowledge in Scala and most importantly practical examples of Spark applications. It gave me an understanding of all the relevant Spark core concepts, RDDs, Dataframes & Datasets, Spark Streaming, AWS EMR. Within a few months of completion, I used the knowledge gained from the course to propose in my current company to work primarily on Spark applications. Since then I have continued to work with Spark. I would highly recommend any of Franks courses as he simplifies concepts well and his teaching manner is easy to follow and continue with! " - Joey Faherty

    Online self studyIntermediate
    ₹ 9,600 Enquire Now

    Big Data, Data Analysis, Data Science, Machine Learning

    Offered by:  UDEMY
  8. Big Data Hadoop Expert Program - Online Classroom

    The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. | Mastering Hadoop and related tools: The course provides you with an in-depth understanding of the Hadoop framework including HDFS, YARN, and MapReduce. | Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. | The ‘Impala-an Open Source SQL Engine for Hadoop’ is an ideal course package for individuals who want to understand the basic concepts of Massively Parallel Processing or MPP SQL query engine that runs on Apache Hadoop. On completing this course, learners will be able to interpret the role of Impala in the Big Data Ecosystem. | MongoDB Developer and Administrator certification from Simplilearn would equip you to master the skills to become MongoDB experienced professional. By going through this MongoDB training you would become job ready by mastering data modelling, ingestion, query and Sharding, Data Replication with MongoDB along with installing, updating and maintaining MongoDB environment. | Apache Kafka is an open source Apache project. It is a high-performance real-time messaging system that can process millions of messages per second. It provides a distributed and partitioned messaging system and is highly fault tolerant.

    Offered by:  Simplilearn
  9. Big Data and Hadoop Spark Developer Training

    Big Data has become increasingly popular with the need to analyse large sets of data and big data professionals are in great demand. This course is aimed at providing valuable technical skillsin Big Data and Hadoop for professionals who are seeking real-world experience to deal with big data. This certification course will help learners to be job-ready in the big data industry. With quality online content, this course prepares the candidates with real life projects. The training not only equips the learners with necessary skills in Hadoop but also provides the necessary work experience in the field through real life projects. Candidates can take the advantage of the learning materials and assignments that the course provides.

    13690 Students
    24 Hours Online self studyIntermediate
    ₹ 15,338 15% OFF ₹ 13,037 Enquire Now

    Big Data, Machine Learning, , Insurance, Operations

    Offered by:  Simplilearn
  10. Hadoop Administrator

    Hadoop is an Apache Software Foundation project and open source software platform for scalable, distributed computing. Hadoop can provide fast and reliable analysis of both structured data and unstructured data. In this course you will learn about the design principles, the cluster architecture, considerations for servers and operating systems, and how to plan for a deployment. This learning path can be used as part of the preparation for the Cloudera Certified Administrator for Apache Hadoop (CCA-500) exam. | Apache Spark Fundamentals course introduces to the various components of the spark framework to efficiently process, visualize and analyze data. The course takes you through spark applications using Python, Scala and Java. You will also learn about the apache spark programming fundamentals like resilient distributed datasets and check which operations to be used to do a transformation operation on the RDD. This will also show you how to save and load data from different data sources like different type of files, RDBMS databases and NO-SQL. At the end of the course, you will explore effective spark application and execute it on Hadoop cluster to make informed business decisions.

    31 HoursOnline self studyIntermediate
    $ 153

    Operations,

    Offered by:  Skillsoft
  11. Big Data and Hadoop Spark Developer

    Big Data has become increasingly popular with the need to analyse large sets of data and big data professionals are in great demand. This course is aimed at providing valuable technical skillsin Big Data and Hadoop for professionals who are seeking real-world experience to deal with big data. This certification course will help learners to be job-ready in the big data industry. With quality online content, this course prepares the candidates with real life projects. The training not only equips the learners with necessary skills in Hadoop but also provides the necessary work experience in the field through real life projects. Candidates can take the advantage of the learning materials and assignments that the course provides.

    4278 Students
    36 Hours Online ClassroomIntermediate
    $ 408 Enquire Now

    Big Data, Machine Learning, , Insurance, Operations

    Offered by:  Simplilearn
  12. Apache Spark Advanced Topics

    Spark Core provides basic I/O functionalities, distributed task dispatching, and scheduling. Resilient Distributed Datasets (RDDs) are logical collections of data partitioned across machines. RDDs can be created by referencing datasets in external storage systems, or by applying transformations on existing RDDs. In this course, you will learn how to improve Spark's performance and work with Data Frames and Spark SQL. Spark Streaming leverages Spark's language-integrated API to perform streaming analytics. This design enables the same set of application code written for batch processing to join streams against historical data, or run ad-hoc queries on stream state. In this course, you will learn how to work with different input streams, perform transformations on streams, and tune up performance. MLlib is Spark's machine learning library. GraphX is Spark's API for graphs and graph-parallel computation. SparkR exposes the API and allows users to run jobs from the R shell on a cluster. In this course, you will learn how to work with each of these libraries.

    7 HoursOnline self studyIntermediate
    $ 74

    Machine Learning, , Operations

    Offered by:  Skillsoft
  13. The Ultimate Hands-On Hadoop - Tame your Big Data!

    The world of Hadoop and "Big Data" can be intimidating - hundreds of different technologies with cryptic names form the Hadoop ecosystem. With this Hadoop tutorial, you'll not only understand what those systems are and how they fit together - but you'll go hands-on and learn how to use them to solve real business problems! Learn and master the most popular big data technologies in this comprehensive course, taught by a former engineer and senior manager from Amazon and IMDb . We'll go way beyond Hadoop itself, and dive into all sorts of distributed systems you may need to integrate with. Install and work with a real Hadoop installation right on your desktop with Hortonworks (now part of Cloudera) and the Ambari UI Manage big data on a cluster with HDFS and MapReduce Write programs to analyze data on Hadoop with Pig and Spark Store and query your data with Sqoop , Hive , MySQL , HBase , Cassandra , MongoDB , Drill , Phoenix , and Presto Design real-world systems using the Hadoop ecosystem Learn how your cluster is managed with YARN , Mesos , Zookeeper , Oozie , Zeppelin , and Hue Handle streaming data in real time with Kafka , Flume , Spark Streaming , Flink , and Storm Understanding Hadoop is a highly valuable skill for anyone working at companies with large amounts of data. Almost every large company you might want to work at uses Hadoop in some way, including Amazon, Ebay, Facebook, Google, LinkedIn, IBM, Spotify, Twitter, and Yahoo! And it's not just technology companies that need Hadoop; even the New York Times uses Hadoop for processing images. This course is comprehensive, covering over 25 different technologies in over 14 hours of video lectures . It's filled with hands-on activities and exercises, so you get some real experience in using Hadoop - it's not just theory. You'll find a range of activities in this course for people at every level. If you're a project manager who just wants to learn the buzzwords, there are web UI's for many of the activities in the course that require no programming knowledge. If you're comfortable with command lines, we'll show you how to work with them too. And if you're a programmer, I'll challenge you with writing real scripts on a Hadoop system using Scala, Pig Latin, and Python . You'll walk away from this course with a real, deep understanding of Hadoop and its associated distributed systems, and you can apply Hadoop to real-world problems. Plus a valuable completion certificate is waiting for you at the end! Please note the focus on this course is on application development, not Hadoop administration. Although you will pick up some administration skills along the way. Knowing how to wrangle "big data" is an incredibly valuable skill for today's top tech employers. Don't be left behind - enroll now! "The Ultimate Hands-On Hadoop... was a crucial discovery for me. I supplemented your course with a bunch of literature and conferences until I managed to land an interview. I can proudly say that I landed a job as a Big Data Engineer around a year after I started your course. Thanks so much for all the great content you have generated and the crystal clear explanations. " - Aldo Serrano "I honestly wouldn‚ be where I am now without this course. Frank makes the complex simple by helping you through the process every step of the way. Highly recommended and worth your time especially the Spark environment. This course helped me achieve a far greater understanding of the environment and its capabilities. Frank makes the complex simple by helping you through the process every step of the way. Highly recommended and worth your time especially the Spark environment." - Tyler Buck

    Online self studyIntermediate
    ₹ 12,160 Enquire Now

    Big Data, Hadoop Administration, Administration, Data Science, ,

    Offered by:  UDEMY
  14. Complete Machine Learning and Data Science: Zero to Mastery

    Become a complete Data Scientist and Machine Learning engineer! Join a live online community of 180,000+ developers and a course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. This is a brand new Machine Learning and Data Science course just launched January 2020! Graduates of Andrei's courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, + other top tech companies. Learn Data Science and Machine Learning from scratch, get hired, and have fun along the way with the most modern, up-to-date Data Science course on Udemy (we use the latest version of Python, Tensorflow 2.0 and other libraries). This course is focused on efficiency: never spend time on confusing, out of date, incomplete Machine Learning tutorials anymore. We are pretty confident that this is the most comprehensive and modern course you will find on the subject anywhere (bold statement, we know). This comprehensive and project based course will introduce you to all of the modern skills of a Data Scientist and along the way, we will build many real world projects to add to your portfolio. You will get access to all the code, workbooks and templates (Jupyter Notebooks) on Github, so that you can put them on your portfolio right away! We believe this course solves the biggest challenge to entering the Data Science and Machine Learning field: having all the necessary resources in one place and learning the latest trends and on the job skills that employers want. The curriculum is going to be very hands on as we walk you from start to finish of becoming a professional Machine Learning and Data Science engineer. The course covers 2 tracks. If you already know programming, you can dive right in and skip the section where we teach you Python from scratch. If you are completely new, we take you from the very beginning and actually teach you Python and how to use it in the real world for our projects. Don't worry, once we go through the basics like Machine Learning 101 and Python, we then get going into advanced topics like Neural Networks, Deep Learning and Transfer Learning so you can get real life practice and be ready for the real world (We show you fully fledged Data Science and Machine Learning projects and give you programming Resources and Cheatsheets)! The topics covered in this course are: - Data Exploration and Visualizations - Neural Networks and Deep Learning - Model Evaluation and Analysis - Python 3 - Tensorflow 2.0 - Numpy - Scikit-Learn - Data Science and Machine Learning Projects and Workflows - Data Visualization in Python with MatPlotLib and Seaborn - Transfer Learning - Image recognition and classification - Train/Test and cross validation - Supervised Learning: Classification, Regression and Time Series - Decision Trees and Random Forests - Ensemble Learning - Hyperparameter Tuning - Using Pandas Data Frames to solve complex tasks - Use Pandas to handle CSV Files - Deep Learning / Neural Networks with TensorFlow 2.0 and Keras - Using Kaggle and entering Machine Learning competitions - How to present your findings and impress your boss - How to clean and prepare your data for analysis - K Nearest Neighbours - Support Vector Machines - Regression analysis (Linear Regression/Polynomial Regression) - How Hadoop, Apache Spark, Kafka, and Apache Flink are used - Setting up your environment with Conda, MiniConda, and Jupyter Notebooks - Using GPUs with Google Colab By the end of this course, you will be a complete Data Scientist that can get hired at large companies. We are going to use everything we learn in the course to build professional real world projects like Heart Disease Detection, Bulldozer Price Predictor, Dog Breed Image Classifier, and many more . By the end, you will have a stack of projects you have built that you can show off to others. Here's the truth: Most courses teach you Data Science and do just that. They show you how to get started. But the thing is, you don't know where to go from there or how to build your own projects. Or they show you a lot of code and complex math on the screen, but they don't really explain things well enough for you to go off on your own and solve real life machine learning problems. Whether you are new to programming, or want to level up your Data Science skills, or are coming from a different industry, this course is for you. This course is not about making you just code along without understanding the principles so that when you are done with the course you don't know what to do other than watch another tutorial. No! This course will push you and challenge you to go from an absolute beginner with no Data Science experience, to someone that can go off, forget about Daniel and Andrei, and build their own Data Science and Machine learning workflows. Machine Learning has applications in Business Marketing and Finance, Healthcare, Cybersecurity, Retail, Transportation and Logistics, Agriculture, Internet of Things, Gaming and Entertainment, Patient Diagnosis, Fraud Detection, Anomaly Detection in Manufacturing, Government, Academia/Research, Recommendation Systems and so much more. The skills learned in this course are going to give you a lot of options for your career. You hear statements like Artificial Neural Network, or Artificial Intelligence (AI), and by the end of this course, you will finally understand what these mean! Click Enroll Nowand join others in our community to get a leg up in the industry, and learn Data Scientist and Machine Learning. We guarantee this is better than any bootcamp or online course out there on the topic. See you inside the course! Taught By: Andrei Neagoie is the instructor of the highest rated Development courses on Udemy as well as one of the fastest growing. His graduates have moved on to work for some of the biggest tech companies around the world like Apple, Google, Amazon, JP Morgan, IBM, UNIQLO etc... He has been working as a senior software developer in Silicon Valley and Toronto for many years, and is now taking all that he has learned, to teach programming skills and to help you discover the amazing career opportunities that being a developer allows in life. Having been a self taught programmer, he understands that there is an overwhelming number of online courses, tutorials and books that are overly verbose and inadequate at teaching proper skills. Most people feel paralyzed and don't know where to start when learning a complex subject matter, or even worse, most people don't have $20,000 to spend on a coding bootcamp. Programming skills should be affordable and open to all. An education material should teach real life skills that are current and they should not waste a student's valuable time. Having learned important lessons from working for Fortune 500 companies, tech startups, to even founding his own business, he is now dedicating 100% of his time to teaching others valuable software development skills in order to take control of their life and work in an exciting industry with infinite possibilities. Andrei promises you that there are no other courses out there as comprehensive and as well explained. He believes that in order to learn anything of value, you need to start with the foundation and develop the roots of the tree. Only from there will you be able to learn concepts and specific skills(leaves) that connect to the foundation. Learning becomes exponential when structured in this way. Taking his experience in educational psychology and coding, Andrei's courses will take you on an understanding of complex subjects that you never thought would be possible. See you inside the course!

    Offered by:  UDEMY
  15. Cloudera Hadoop Developer

    Hadoop Developer certification will let students create robust data processing applications using Apache Hadoop. After completing this course, students will be able to comprehend workflow execution and working with APIs by executing joins and writing MapReduce code. This course will offer the most excellent practice environment for the real-world issues faced by Hadoop developers. Hadoop developers are among the world's most in-demand and highly-compensated technical roles. According to a McKinsey report, US alone will deal with shortage of nearly 190,000 data scientists and 1.5 million data analysts and Big Data managers by 2018

    10000 Students
    32 HoursClassroomIntermediate
    $ 1,568 Enquire Now

    Big Data, , Machine Learning, Operations

    Offered by:  Koeing Solutions
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