6 to 8 December 2019 (3-days)
9am to 6pm
408 North Bridge Road #02-02 S(188725)
*$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
- Learner's Guide & Codes for Practice
- A Digital Certificate on "Big Data Engineer" awarded by DIO Academy
Who should attend?
DataBase Developers/ Support-team/ Testers
Software Developers/ Support-team/ Testers
Anyone interested in switching track to Big Data Domain
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.
About the Trainer - Sharad Agarwal
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.
For more information about Sharad, please visit: