Data analytics apr

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DATA ANALYTICS NICF - Data Analytics

Acquire knowledge and skills in Data Analytics Know how to store, manage, process and analyze unstructured data for competitive advantage Learn sophisticated analytic techniques and tools to process and analyze big data

Apply various Big Data technologies Gain knowledge on how to plan and implement a Big Data solution Learn through various examples and exercises on Big Data systems

Implement the concepts of Big Data Implement Big Data and Data Analytics projects at your workplace Pathway to obtain a professional certification on Hadoop’s Big Data

www.lithan.com


PROGRAMME MODULES This modular programme includes the following topics: Introduction to Big Data Hadoop overview and basic concepts Writing Map Reduce Applications Reducers and Partitioners Hadoop API library Input and output formats Advance MapReduce features Sqoop, Flume, HBase, Hive Pig overview Oozie overflow

MODE & DURATION This programme is delivered full-time over 5 days or part-time over 36 hours (12 evening sessions of 3 hours each). It will be delivered through classroom lectures and hands-on tutorials.

ENTRY REQUIREMENTS Candidates must be: Graduates or Diploma holders Have object-oriented software programming experience

CERTIFICATES ISSUED Upon successful completion of all modules, students will be issued with following Statement of Attainment (SOA) certificates: IT-IM-502S-1 Analyse report and trends IT-IM-302S-1 Analyse data and generate reports Those completing this programme are encouraged to take one of the following accreditation tests on Hadoop’s Big Data (at your own time and expense): CCDH – Cloudera Certified Developer for Apache Hadoop HCAHD – Hortonworks Certified Apache Hadoop Developer

TARGET JOB ROLES By the end of the programme, students will be able to assume following position: Data Engineer

Lithan Academy Pte. Ltd.

Company Registration No: 200202841R ERF Registration Period: 6 August 2014 to 5 August 2018

11 Eunos Road 8

#07-02 Lifelong Learning Institute Singapore 408601


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