Introduction to

Big Data and SPARK

6 to 8 December 2019 (3-days)

9am to 6pm

408 North Bridge Road #02-02 S(188725)

$680*

*$620 / pax - For Early birds (Register by 20 November

$612 / pax - For groups of 3 or more

Payment must be made BEFORE 30 Nov 2019

to confirm your seat

Minimum Class size: 10 pax

Price Includes:

- Lunch/Tea-breaks

- Learner's Guide & Codes for Practice

- A Digital Certificate on "Big Data Engineer" awarded by DIO Academy

This course equips you with requisite knowledge and skills to apply fundamental concepts of Python Programming, Spark & Big Data Architecture & Eco-system effectively (HDFS/ S3/ YARN/ Pyspark/ Spark-SQL/ EMR).

Write and debug Basic Python & PySpark Programs for Extract-Transform-Load (ETL), analytics, monitoring and batch scripting jobs.
Use Spark for data read-write-delete (CRUD) functionality from/to HDFS/ S3/ RDBMS and run ETL/ SQL jobs/commands.

Be comfortable with the basics of any Programming/ Scripting language and concepts like conditions, loops, functions.
Have a basic understanding of Cloud (AWS/GCP) terms.
Bring your own laptop (Minimum of 4 GB RAM with any Operating System - Windows/ Mac OS/ Ubuntu).
Lab Setup: AWS cloud will be provided for practice and learning during training.
All required software will be provided and installed at the start of training.

Sharad has 10 years IT Industry experience in designing and developing multiple products related to NLP/ NLG/ ML/ AI/ Data-Science/ Data Analytics/ Big-Data for Pharma, Digital Media, Finance domains.
Sharad is a highly sought after trainer in Data Science & ML using Python/R, ML/ Big data, Advanced Spark, Deep Learning using TensorFlow, Keras, NLP & ChatBots, Kafka, IoT, IoT with AI.
Some of his MNC clients in India, SG, HK, UAE include IBM (ISL/CIO/GBS/GTS), JPMC, Siemens, L&T, CTS, Nomura, Societe Generale, John Deere, Credit Suisse.