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How much time do I have to take the certification exam?

With the purchase of e-learning packages with 30 days and 1 year of duration, exam doesn’t have to be necessarily taken within the closing date of the account on the e-learning platform. The validity of the exam voucher code is 12 months starting from the issue date.

I have to purchase several packages: how can I assign them to participants?

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The activation date of the package can be selected during the purchase process on our website. The days of access to the course, indicated in the title of the product, will be calculated starting from the selected date. Payment must be completed before the activation date.

What does 30d or 1 year in the title of products on our website mean?

30 days or 1 year are to be considered as the period, so the days, during which it is possible to access the purchased training courses on our e-learning platform. These periods start on the activation date selected during the purchase process on our webiste. The activation date can be chosen and selected within 30 days from the purchase date. If you need more flexibility, do not hesitate to contact us.

When is the exam voucher code issued?

Exam voucher code is usually issued at the activation of the e-learning course, anyway it can also be issued at the end of the e-learning course of sent after 24/48 hours from the order date. In case of purchase for exam only, exam voucher code is issued at purchase confirmation, always after the receipt of payment.

Big Data and Hadoop Courses

Big Data and Hadoop certification training courses and exams available in several languages and provided by iLEARN

Availability and prices of Big Data and Hadoop courses

Big Data and Hadoop online courses (e-learning)

In this showcase you will find a selection of training courses and exams in the Big Data and Hadoop context.
If you do not see the course or exam you want, please contact us.

Prices for

Online course

Big Data Hadoop and Spark Developer 1 year without exam
- Online
- Online
- English
349 EUR
Details

Big data analytics is widely used to analyse large volumes of data and there is a growing need for professionals equipped with the knowledge of Big Data and Hadoop. Top companies like IBM, Dell, Microsoft and HP have invested $15 billion on data management and analytics, therefore increasing the number of career opportunities for big data and Hadoop certified professionals.

Knowledge of Big Data and Hadoop enables you to install and configure Hadoop components and manage as well as integrate large sets of unstructured data. The following examples show why you should get equipped with the knowledge of Big Data and Hadoop.

Facebook, which is a $5.1 billion company, has over 1 billion active users! It is Hadoop that enables Facebook to manage data of such magnitude.
Linkedin manages over 1 billion personalized recommendations every week, with the help of Hadoop’s MapReduce and HDFS features.
The Yahoo! Search Webmap is a Hadoop application that runs on over 10,000 core Linux cluster and generates the data that is widely used in each query of Yahoo! Web search.

A good understanding of the basics of Big Data and Hadoop makes it easier to improve your analytic skills, thus increasing your career prospects in the Big Data analytics industry. According to Robert Half Technology, the average salary for a Hadoop certified Professional is in the range of $154,250.

Top companies like Microsoft, Software AG, IBM, Oracle, HP, SAP, EMC2 and Dell have invested a huge $15 billion on data management and analytics, thereby increasing the number of opportunities for Big data & Hadoop certified professionals.

BIG DATA AND HADOOP CERTIFICATION PATHWAY

Big Data Hadoop & Spark Developer

With this Big Data Hadoop course, you will learn the big data framework using Hadoop and Spark, including HDFS, YARN, and MapReduce. The course will also cover Pig, Hive, and Impala to process and analyse large datasets stored in the HDFS and use Sqoop and Flume for data ingestion.

You will be shown real-time data processing using Spark, including functional programming in Spark, implementing Spark applications, understanding parallel processing in Spark, and using Spark RDD optimisation techniques. You will also learn the various interactive algorithms in Spark and use Spark SQL for creating, transforming, and querying data forms.

Finally, you will be required to execute real-life, industry-based projects using CloudLab in the domains of banking, telecommunication, social media, insurance, and e-commerce.

ILEARN OFFER

E-learning: training provided through the online learning management system from anywhere and anytime