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Cloudera Data Analyst (IBF Funded)

Cloudera Data Analyst (IBF Funded) Certification Training is aligned with the IBF Standards, UTAP Funded, Skills future credit claimable.

90% subsidy for Singapore Citizens and Permanent Residents. Participants need to pay only 5% + GST to attend the training

    NOTE: Ready to boost your data analytics career? With Cloudera Data Analyst Training Certification you can strengthen your data analytics knowledge, earn a digital certificate, and start preparing for an industry-recognized Data Analyst Certificate.

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    24*7 Support

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    High Success Rate

    Globally Renowned Trainer

    Real-time code analysis and feedback

    Course Description

    Cloudera Educational Services' four-day Data Analyst Training course will teach you to apply traditional data analytics and business intelligence skills to big data. This course presents the tools data professionals need to access, manipulate, transform, and analyze complex data sets using SQL and familiar scripting languages.

    What to Expect From Data Analyst

    Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the ecosystem, learning:

    • How the open-source ecosystem of big data tools addresses challenges not met by traditional RDBMSs
    • Using Apache Hive and Apache Impala to provide SQL access to data
    • Hive and Impala syntax and data formats, including functions and subqueries
    • Create, modify, and delete tables, views, and databases; load data; and store results of queries
    • Create and use partitions and different file formats
    • Combining two or more datasets using JOIN or UNION, as appropriate
    • What analytic and windowing functions are, and how to use them
    • Store and query complex or nested data structures
    • Process and analyze semi-structured and unstructured data
    • Techniques for optimizing Hive and Impala queries
    • Extending the capabilities of Hive and Impala using parameters, custom file formats and SerDes, and external scripts
    • How to determine whether Hive, Impala, an RDBMS, or a mix of these is best for a given task

    Schedule

    Enroll your course from
    $449.40
    24th – 27th May, 2022
    09:30AM – 05:30PM
    Trainer
    Ajit Kumar
    Singapore
    Weekday
    Enroll Now
    Enroll your course from
    $449.40
    13th – 16th Jun, 2022
    09:30AM – 05:30PM
    Trainer
    Ajit Kumar
    Singapore
    Weekday
    Enroll Now
    Enroll your course from
    $449.40
    4th – 7th Jul, 2022
    09:30AM – 05:30PM
    Trainer
    Ajit Kumar
    Singapore
    Weekday
    Enroll Now
    Enroll your course from
    $449.40
    16th – 19th Aug, 2022
    09:30AM – 05:30PM
    Trainer
    Ajit Kumar
    Singapore
    Weekday
    Enroll Now
    Enroll your course from
    $449.40
    13th – 16th Sep, 2022
    09:30AM – 05:30PM
    Trainer
    Ajit Kumar
    Singapore
    Weekday
    Enroll Now
    Enroll your course from
    $449.40
    5th – 8th Oct, 2022
    09:30AM – 05:30PM
    Trainer
    Ajit Kumar
    Singapore
    Weekday
    Enroll Now
    Enroll your course from
    $449.40
    8th – 11th Nov, 2022
    09:30AM – 05:30PM
    Trainer
    Ajit Kumar
    Singapore
    Weekday
    Enroll Now
    Enroll your course from
    $449.40
    5th – 8th Dec, 2022
    09:30AM – 05:30PM
    Trainer
    Ajit Kumar
    Singapore
    Weekday
    Enroll Now
    Enroll your course from
    $449.40
    TBC, 2023
    09:30AM – 05:30PM
    Trainer
    Ajit Kumar
    Singapore
    Weekday
    Enroll Now

    Certification Curriculum

    Module 1
    Introduction Apache Hadoop Fundamentals
    • The Motivation for Hadoop
    • Hadoop Overview
    • Data Storage: HDFS
    • Distributed Data Processing: YARN, MapReduce, and Spark
    • Data Processing and Analysis: Pig, Hive, and Impala
    • Database Integration: Sqoop
    • Other Hadoop Data Tools
    • Exercise Scenario Explanation
    Module 2
    Introduction to Apache Hive and Impala
    • What Is Hive?
    • What Is Impala?
    • Why Use Hive and Impala?
    • Schema and Data Storage
    • Comparing Hive and Impala to Traditional Databases
    • Use Cases
    Module 3
    Querying with Apache Hive and Impala
    • Databases and Tables
    • Basic Hive and Impala Query Language Syntax
    • Data Types
    • Using Hue to Execute Queries
    • Using Beeline (Hive’s Shell)
    • Using the Impala Shell
    Module 4
    Common Operators and Built-In Functions
    • Operators
    • Scalar Functions
    • Aggregate Functions
    Module 5
    Data Management
    • Data Storage
    • Creating Databases and Tables
    • Loading Data
    • Altering Databases and Tables
    • Simplifying Queries with Views
    • Storing Query Results
    Module 6
    Data Storage and Performance
    • Partitioning Tables
    • Loading Data into Partitioned Tables
    • When to Use Partitioning
    • Choosing a File Format
    • Using Avro and Parquet File Formats
    Module 7
    Working with Multiple Datasets
    • UNION and Joins
    • Handling NULL Values in Joins
    • Advanced Joins
    Module 8
    Analytic Functions and Windowing
    • Using Common Analytic Functions
    • Other Analytic Functions
    • Sliding Windows
    Module 9
    Complex Data
    • Complex Data with Hive
    • Complex Data with Impala
    Module 10
    Analyzing Text
    • Using Regular Expressions with Hive and Impala
    • Processing Text Data with SerDes in Hive
    • Sentiment Analysis and n-grams
    Module 11
    Apache Hive Optimization
    • Understanding Query Performance
    • Bucketing
    • Hive on Spark
    Module 12
    Apache Impala Optimization
    • How Impala Executes Queries
    • Improving Impala Performance
    Module 13
    Extending Apache Hive and Impala
    • Custom SerDes and File Formats in Hive
    • Parameterized Queries
    • Data Transformation with Custom Scripts in Hive
    • User-Defined Functions
    Module 14
    Choosing the Best Tool for the Job
    • Comparing Hive, Impala, and Relational Databases
    • Which to Choose?
    Module 15
    Conclusion

    Audience & Prerequisites

    This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Some knowledge of SQL is assumed, as is basic Linux command-line familiarity. Prior knowledge of Apache Hadoop is not required.

    Download Brochure

    We offer Cloudera Data Analyst Certification Training in Singapore aimed at beginner Associate Cloud Engineers that can lead to your Data Analyst Certification. Download the brochure and check the different Focus Areas covered within these 4 days of training.

    Download Brochure

    Certification Assessment

    Upon completion of the course, attendees are encouraged to continue their study and register for the CCA Data Analyst exam. Cloudera Data Analyst Training Certification is a great differentiator. It helps establish you as a leader in the field, providing employers and customers with tangible evidence of your skills and expertise.

    • High Success rate
    • Join Our Dynamic Community
    • Training from Recognized Trainer
    • Post-workshop support by the Coaches

    Testimonials

    Our clients praise us for our great results, personable service, expert knowledge, and on-time delivery. Here are what just a few of them had to say:

    Funding & Price Chart

    • Individual Sponsored Company Sponsored* (Banking and Finance) Company Sponsored* (Non Banking and Finance)
      Singaporeans age 40 and above (90% funding) Singaporeans age below 40 and all PRs (80% funding) Singaporeans age 40 and above (90% funding) Singaporeans age below 40 and all PRs (80% funding) (No Funding)
      Full Course Fee before GST $4,200.00 $4,200.00 $4,200.00 $4,200.00 $4,200.00
      7% GST $294.00 $294.00 $294.00 $294.00 $175.00
      Total Course Fee $4,494.00 $4,494.00 $4,494.00 $4,494.00 $4,375.00
      Less: IBF Funding $4,044.60 $3,595.20 $3,780.00 $3,360.00 NA
      Net Fee Payable $449.40 $898.80 $714.00 $1,134.00 $4,375.00

    Training FAQ's

    What is the Cloudera Data Analyst Training all about?

    Cloudera Data Analyst Training course will teach you to apply traditional data analytics and business intelligence skills to big data. This course presents the tools data professionals need to access, manipulate, transform, and analyze complex data sets using SQL and familiar scripting languages.

    What is the duration for Cloudera Data Analyst Training?

    Cloudera Data Analyst Training is a four-day course.

    Are there any eligibility criteria for attending the Cloudera Data Analyst Training?

    This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Some knowledge of SQL is assumed, as is basic Linux command-line familiarity. Prior knowledge of Apache Hadoop is not required.

    What is the benefit of taking up Cloudera Data Analyst Training?

    The Cloudera Data Analyst Training allows you to join the fastest and most promising industry of data engineers and carve your career path to rewarding success.

    What are the prerequisites of Cloudera Data Analyst Training?

    Some knowledge of SQL is assumed, as is basic Linux command-line familiarity for Cloudera data Analyst Training.

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      Boost your Data Analytics Career with Cloudera Data Analyst Training Certification at Agilitics, Singapore, and enter one of the fastest-growing industries with a skilled workforce in demand. With companies looking for professionals who can access, manipulate, transform, and analyze complex data sets to create better business outcomes, this is the perfect opportunity to hone your data analytics skills with Cloudera, one of the most widely recognized Hybrid Data Cloud companies.
      Read More

      Aligned with IBF Standards, UTAP Funded, and Skills future credit claimable, the Cloudera Data Analyst Training Certification at Agilitics is offering up to 90% subsidies for Singapore Citizens and Permanent Residents. Transform your career and make room for plenty of growth by choosing a career path that is in such huge demand. According to the Jobs of Tomorrow Report of 2020, published by the World Economic Forum (WEF), data and artificial intelligence has been placed in the seventh position of top-growing professions with a growth rate of 41%. This shows the hype for data analysts in the current market, with companies choosing to deliver better customer solutions by processing data at its core.
      Designed for data analysts, business intelligence specialists, developers, system architects, and database administrators, this four-day workshop will help you prepare, structure, and analyze data in Cloudera’s CDH environment. You will understand how to use Apache Hive and Apache Impala to provide SQL access to data and create, modify, and delete tables, views, and databases; load data; and store results of queries. The main objective of this course is to help the attendees apply traditional data analytics and business intelligence skills to big data.
      Data is indispensable and is an important aspect of all vertical sectors such as banking, finance, health care, consultancy services, and e-commerce industries, the need to drive insights and process data is of utmost importance. The Cloudera Data Analyst Certification allows you to join the fastest and promising industry of data engineers and carve your career path to rewarding success.