In the era of search engines, social media and other online platforms, we have seen the huge database to handle properly. Generally Big Data are the complex data sex for the new pronblems. Big data has been the widest demandable field among all IT field. Somewhere if you have knowledge of Big Data, you will definitely competitive advantages over others. The best Big Data tutorials for beginners online courses & Tutorials to Learn Big Data.
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What is Big Data and Hadoop?
Today, we presented the Big data Trainings to learn Big data online. Big Data is also data but with a huge size. Big Data is a term used to describe a collection of data that is huge in size and yet growing exponentially with time. In short such data is so large and complex that none of the traditional data management tools are able to store it or process it efficiently.
Hadoop is a open source software to manage the problem set of Big Data and give a relative and easy solution.
Top Big Data Certification Courses, Tutorials List
- Hadoop Framework Certification Course (MapReduce, HDFS, Pig)
- Big Data
- Google Cloud Platform Big Data and Machine Learning Fundamentals
- Big Data for Data Engineers
- Taming Big Data with MapReduce and Hadoop - Hands On!
- Creating Your First Big Data Hadoop Cluster Using Cloudera CDH
- Managing Big Data with MySQL
- Learn Big Data: The Hadoop Ecosystem Masterclass
- Big Data on Amazon Web Services
- Real World Big Data in Azure
- Big Data Analysis with Scala and Spark
Hadoop framework certification is a very initial things for the Big Data tutotials for beginner. In this Big data training, we would get exposure to MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, Kafka.
⭐ : 4.5 (14,620 ratings)
With this Big Data tutotials for beginner to pro course, you will:
- Design distributed systems that manage "big data" using Hadoop and related technologies.
- Use HDFS and MapReduce for storing and analyzing data at scale.
- Use Pig and Spark to create scripts to process data on a Hadoop cluster in more complex ways.
- Analyze relational data using Hive and MySQL
- Analyze non-relational data using HBase, Cassandra, and MongoDB
- Query data interactively with Drill, Phoenix, and Presto
- Choose an appropriate data storage technology for your application
- Understand how Hadoop clusters are managed by YARN, Tez, Mesos, Zookeeper, Zeppelin, Hue, and Oozie.
- Publish data to your Hadoop cluster using Kafka, Sqoop, and Flume
- Consume streaming data using Spark Streaming, Flink, and Storm
The world of Hadoop and Big Data can be intimidating, hundreds of different technologies with cryptic names form the Hadoop ecosystem. With this Hadoop Big Data tutotials for beginner, 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 Big Data tutotials for beginner to pro 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 big data training 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!
You can take Hadoop Framework Certification Course (MapReduce, HDFS, Pig) Certificate Course on Udemy.
Big data trainings for professional is a great way to Learn Big Data from University of California San Diego. Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted.
⭐ : 4.4 (244 ratings)
Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions. Do you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers.
Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems.
This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.
This Big data trainings for professional course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career.
Big data trainings for professional training provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world.
You can take Big Data Certificate Course on Coursera.
Learn Google Cloud Platform Big Data Programming and Machine Learning Fundamentals from Google Cloud. This 1-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP).
⭐ : 4.6 (6,091 ratings)
With this Google Cloud Platform Big Data Programming and Machine Learning Fundamentals course, you will:
- Process big data at scale for analytics and machine learning
- Create streaming data pipelines and dashboards
- Learn fundamentals of building new machine learning models
This is an on-demand Google Cloud Platform Big Data Programming and Machine Learning Fundamentals course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.
At the end of this Google Cloud Platform Big Data Programming and Machine Learning Fundamentals training , participants will be able to: Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform, employ BigQuery and Cloud Datalab to carry out interactive data analysis, choose between Cloud SQL, BigTable and Datastore, train and use a neural network using TensorFlow, choose between different data processing products on the Google Cloud Platform.
You can take Google Cloud Platform Big Data and Machine Learning Fundamentals Certificate Course on Coursera.
Learn Big Data for Data Engineers from Yandex. This specialization is made for people working with data (either small or big). If you are a Data Analyst, Data Scientist, Data Engineer or Data Architect (or you want to become one).
⭐ : 3.8 (64 ratings)
With this Learn Big Data for Data Engineers course, you will:
- Create batch and real-time data processing pipelines,
- Do machine learning at scale,
- Deploy machine learning models into a production environment
This specialization is made for people working with data (either small or big). If you are a Data Analyst, Data Scientist, Data Engineer or Data Architect (or you want to become one) — don’t miss the opportunity to expand your knowledge and skills in the field of data engineering and data analysis on the large scale.
In four concise Learn Big Data for Data Engineers courses you will learn the basics of Hadoop, MapReduce, Spark, methods of offline data processing for warehousing, real-time data processing and large-scale machine learning. And Capstone project for you to build and deploy your own Big Data Service (make your portfolio even more competitive).
Over the Learn Big Data for Data Engineers course of the specialization, you will complete progressively harder programming assignments (mostly in Python). Make sure, you have some experience in it. This Learn Big Data for Data Engineers course will master your skills in designing solutions for common Big Data tasks: creating batch and real-time data processing pipelines, doing machine learning at scale, deploying machine learning models into a production environment.
You can take Big Data for Data Engineers Certificate Course on Coursera.
Learn Big Data withLearn MapReduce and Hadoop fast by building over 10 real examples, using Python, MRJob, and Amazon's Elastic MapReduce Service.
⭐ : 4.5 (2,053 ratings)
With this Learn Big Data withLearn MapReduce and Hadoop course, you will:
- Understand how MapReduce can be used to analyze big data sets
- Write your own MapReduce jobs using Python and MRJob
- Run MapReduce jobs on Hadoop clusters using Amazon Elastic MapReduce
- Chain MapReduce jobs together to analyze more complex problems
- Analyze social network data using MapReduce
- Analyze movie ratings data using MapReduce and produce movie recommendations with it.
- Understand other Hadoop-based technologies, including Hive, Pig, and Spark
- Understand what Hadoop is for, and how it works
“Big data" analysis is a hot and highly valuable skill – and this Learn Big Data withLearn MapReduce and Hadoop course will teach you two technologies fundamental to big data quickly: MapReduce and Hadoop. Ever wonder how Google manages to analyze the entire Internet on a continual basis?
You'll learn those same techniques, using your own Windows system right at home. Learn and master the art of framing data analysis problems as MapReduce problems through over 10 hands-on examples, and then scale them up to run on cloud computing services in this Learn Big Data withLearn MapReduce and Hadoop course. You'll be learning from an ex-engineer and senior manager from Amazon and IMDb.
You can learn the concepts of MapReduce Run MapReduce jobs quickly using Python and MRJob Translate complex analysis problems into multi-stage MapReduce jobs Scale up to larger data sets using Amazon's Elastic MapReduce service Understand how Hadoop distributes MapReduce across computing clusters Learn about other Hadoop technologies, like Hive, Pig, and Spark 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.
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 Learn Big Data withLearn MapReduce and Hadoop 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.
Over 5 hours of video content is included, with over 10 real examples of increasing complexity you can build, run and study yourself. Move through them at your own pace, on your own schedule. The Learn Big Data withLearn MapReduce and Hadoop course wraps up with an overview of other Hadoop-based technologies, including Hive, Pig, and the very hot Spark framework – complete with a working example in Spark.
You can take Taming Big Data with MapReduce and Hadoop - Hands On! Certificate Course on Udemy.
Big Data programming Hadoop cluster is a training Data by itself has no meaning, it is what you do with it that counts. In big data programming, you'll fast track to Hadoop & Big Data with the Cloudera QuickStart VM and then you'll learn how to set up a Hadoop cluster with Cloudera CDH.
⭐ : 5.0 (67 ratings)
To get knowledge you need to analyze and understand huge amounts of structured and unstructured data - Big Data. In this Big Data programming Hadoop cluster course, Creating Your First Big Data Hadoop Cluster Using Cloudera CDH, you'll get started on Big Data with Cloudera, taking your first steps with Hadoop using a pseudo cluster and then moving on to set up our own cluster using CDH, which stands for Cloudera's Distribution including Hadoop.
First, you'll explore the case for Hadoop, Big Data, and Cloudera. Next, you'll learn about the fast track to Big Data with Cloudera's QuickStart VM and you'll also learn how to create a visualization environment with VirtualBox. Then, you'll discover how to create a Linux clean cluster with CentOS. Finally, you'll follow the steps to install and configure a cluster with the help of Cloudera Manager. By the end of this course, you'll have a Hadoop cluster, and you'll be ready to start your journey to Big Data.
You can take Creating Your First Big Data Hadoop Cluster Using Cloudera CDH Certificate Course on Pluralsight.
Learn Managing Big Data online course with MySQL from Duke University. This cBig Data online course is an introduction to how to use relational databases in business analysis. You will learn how relational databases work, and how to use entity-relationship diagrams to display.
⭐ : 4.7 (2,345 ratings)
This Big Data online course is an introduction to how to use relational databases in business analysis. You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them. This knowledge will help you understand how data needs to be collected in business contexts, and help you identify features you want to consider if you are involved in implementing new data collection efforts.
You will also learn how to execute the most useful query and table aggregation statements for business analysts, and practice using them with real databases. No more waiting 48 hours for someone else in the company to provide data to you – you will be able to get the data by yourself!
By the end of this Big Data online course, you will have a clear understanding of how relational databases work, and have a portfolio of queries you can show potential employers. Businesses are collecting increasing amounts of information with the hope that data will yield novel insights into how to improve businesses.
You can take Managing Big Data with MySQL Certificate Course on Pluralsight.
Master the Hadoop ecosystem using HDFS, MapReduce, Yarn, Pig, Hive, Kafka, HBase, Spark, Knox, Ranger, Ambari, Zookeeper.
⭐ : 4.2 (1,901 ratings)
With this Big data courses, you will:
- Process Big Data using batch
- Process Big Data using realtime data
- Be familiar with the technologies in the Hadoop Stack
- Be able to install and configure the Hortonworks Data Platform (HDP)
In this Big data courses you will learn Big Data using the Hadoop Ecosystem. Why Hadoop? It is one of the most sought after skills in the IT industry. The average salary in the US is $112,000 per year, up to an average of $160,000 in San Fransisco (source: Indeed). The course is aimed at Software Engineers, Database Administrators, and System Administrators that want to learn about Big Data.
Other IT professionals can also take this Big data courses, but might have to do some extra research to understand some of the concepts. You will learn how to use the most popular software in the Big Data industry at moment, using batch processing as well as realtime processing. This Big data courses will give you enough background to be able to talk about real problems and solutions with experts in the industry. Updating your LinkedIn profile with these technologies will make recruiters want you to get interviews at the most prestigious companies in the world.
You can take Learn Big Data: The Hadoop Ecosystem Masterclass Certificate Course on Udemy.
This Learning Big Data on Amazon Web services training contains an overview and demonstration of numerous components in the Amazon Web Services (AWS) Big Data Stack.
⭐ : 4.5 (165 ratings)
This Learning Big Data on Amazon Web services course provides a tour through Amazon Web Services' (AWS) Big Data stack components, namely DynamoDB, Elastic MapReduce (EMR), Redshift, Data Pipeline, and Jaspersoft BI on AWS. AWS Kinesis is also discussed.
All steps for creating an AWS account, setting up a security key pair and working with AWS Simple Storage Service (S3) are covered as well. Numerous demos are provided, demonstrating interaction through AWS components via Web browser user interfaces, command line, and desktop tools.
You can take Learning Big Data on Amazon Web Services Certificate Course on Pluralsight.
The Big Data programming components of Azure let you build solutions which can process billions of events, using technologies you already know. In this Big Data programming in Azure course, we build a real world Big Data solution in two phases, starting with just .NET technologies and then adding Hadoop tools.
⭐ : 4.5 (185 ratings)
How do you make sense of Big Data? When you’re receiving 100 million events per hour and you need to save them all permanently, but also process key metrics to show real-time dashboards, what technologies and platforms can you use? This Big Data programming in Azure coursee answers those questions using Microsoft Azure, .NET, and Hadoop technologies: Event Hubs, Cloud Services, Web Apps, Blob Storage, SQL Azure, and HDInsight. We build a real solution that can process ten billion events every month, store them for permanent access, and distill key streams of data into powerful real-time visualizations.
You can take Real World Big Data in Azure Certificate Course on Pluralsight.
Learn Big Data Programming Analysis with Scala and Spark from École Polytechnique Fédérale de Lausanne. Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial.
⭐ : 4.7 (1,891 ratings)
With this Big Data Programming Analysis course, you will:
- Read data from persistent storage and load it into Apache Spark
- Manipulate data with Spark and Scala
- Express algorithms for data analysis in a functional style
- Recognize how to avoid shuffles and recomputation in Spark
Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala.
In this Big Data Programming Analysis course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout. We'll cover Spark's programming model in detail, being careful to understand how and when it differs from familiar programming models, like shared-memory parallel collections or sequential Scala collections. Through hands-on examples in Spark and Scala, we'll learn when important issues related to distribution like latency and network communication should be considered and how they can be addressed effectively for improved performance.
You can take Big Data Analysis with Scala and Spark Certificate Course on Coursera.
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