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Today across the world, organizations are inundated with huge amounts of data from all directions - and to make the best use of it, they must be able to harness all relevant data and analyze it to make the best decisions to transform their business. With this explosion in data, Hadoop has gained in significance as organizations worldwide have found Hadoop to be the best platform for managing and processing big data.
To make the most efficient use of the Hadoop platform, and fully analyze and utilize every bit of data for maximum productivity, training is of paramount importance. Trained Hadoop Data Analysts are much in demand as they will be able to leverage best practices to work with big data faster and more effectively.
Our Hadoop Data Analyst course is for those who wish to access, manipulate, and analyze massive data sets using SQL and familiar scripting languages on Hadoop. Learn how to transform data using Apache Pig, Apache Hive, and Cloudera Impala and analyze it using filters, joins, and user-defined functions familiar from other technologies.
1.1 Big Data Introduction
1.2 Hadoop Introduction
2. Hadoop Daemon Processes
3. HDFS (Hadoop Distributed File System)
4. Hadoop Installation Modes and HDFS
5. Hadoop Developer Tasks
5.1 Writing a MapReduce Program
6. Hadoop Ecosystems
7. Data Analytics using Pentaho as an ETL tool
From the course:
Successful candidates will be able to learn:
From the Workshop:
On successful completion of the course, you will receive a Course Completion Certificate from KnowledgeHut with Credits (1 credit per hour of training).
This course is best suited to data analysts, business analysts, developers, and administrators who have experience with SQL and basic UNIX or Linux commands.
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To make the most effective use of the Hadoop platform, and fully analyze and utilize every aspect of data for maximized productivity, training is of paramount importance. Trained Hadoop Data Analysts will be able to leverage best practices to work with big data faster and more effectively. Our Hadoop Data Analyst course is for those who wish to access, manipulate, and analyze massive data sets using SQL and familiar scripting languages on Hadoop. Learn how to transform data using Apache Pig, Apache Hive, and analyze it using filters, and other user-defined functions familiar from other technologies.
This training is aimed at data analysts, business analysts, developers, and administrators who have experience with SQL and basic UNIX or Linux commands.
No prior Hadoop experience is required.
The trainers are highly qualified and certified instructors with 20+ years of experience to deliver classroom training. Our skilled trainers will handhold you through the development of applications and analyses of Big Data, and you will be able to comprehend the key concepts required to create robust big data processing applications.
It is easy to enroll for classroom training online. There are several options to pay either through your debit/credit card that includes Visa Card, MasterCard; American Express or - via PayPal. Payment receipt will be issued to the candidate automatically by email.
The location is determined weeks ahead of the training schedule and you will be kept informed by email. You can also call our support staff or send us an email at firstname.lastname@example.org. Besides, you can use our chat option for more information.
Yes, we do offer group packages for the classroom training programs. Contact email@example.com to know more about group concessions.
You are welcome to revise the choice of city, place and date for any classroom training, if required. However, if it is cross-country, then there will be a revision in the training fee.
Any registration cancelled within 48 hours of the initial registration will be refunded in FULL. Please note that refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: http://www.knowledgehut.com/refund
Yes, we offer PDU certificate to candidates after successfully completing the course. You can earn up to 24 hours of PDU certificate after attending the training.
Yes, we offer course completion certificate after you successfully complete the training program.
Learn through live online interaction with experienced trainers, not from video tutorials.
We understand your busy schedules and recognise that undertaking a course while working is not easy. Pick a convenient time slot and log in from anywhere.
Not happy with the class? Get a full refund after your first session. Of course, we do our best to ensure this does not happen!
Revisit your doubts and get your concepts crystal clear by accessing your class recordings post training.
Our course material is comprehensive and easy to follow, available in downloadable e-book format.
All you need is a Windows computer, an Internet connection with a minimum of 500 KBPS speed, and a pair of headphones with a microphone.
Our classes are held on weekends and at convenient timings on weekdays, making it easy for you to fit the sessions into your workday.
Chance to get your concepts crystal clear by attending another batch of the same course for free.
We guarantee you will pass the certification exam or we will reimburse you for the class
If you do not pass the exam in three attempts (details described below), we will pay you back for the class cost.
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