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Big Data Speciality Certification Training

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Big Data Speciality Certification Training

AWS certifications are one of the most sought-after certifications in the IT industry today. With the number of companies, small and big moving to the cloud, the market for AWS cloud is growing continuously. AWS has introduced a number of certifications ranging from Associate level to Specialty level. As, both the Big Data and AWS are highly regarded skills in the IT market. Taking up the AWS Certified Big Data Specialty exam will prove as a golden ticket for your career to launch to the higher levels.

Why Should You Choose This Certification?

  • Maximize your odds of passing the AWS Certified Big Data exam.
  • Store big data with S3 and DynamoDB in a scalable, secure manner.
  • Move and transform massive data streams with Kinesis.
  • Process big data with AWS Lambda and Glue ETL.
  • Visualize big data in the cloud using AWS QuickSight.
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Big Data Speciality - Instructor Led Training

15 th  October
Sat&Sun (4 Weeks) Weekends Batches
Timings: 07:00 AM - 11:30AM(IST)
Sold Out
25 th  October
Sat&Sun (4 Weeks) Weekends Batches
Timings: 07:00 AM - 11:30AM(IST)
Filling Fast
1 st  November
Sat&Sun (4 Weeks) Weekends Batches
Timings: 07:00 AM - 11:30AM(IST)
Pending

Curriculum

  • Collection Section Introduction
  • Kinesis Data Streams Overview
  • Kinesis Producers
  • Kinesis Consumers
  • Kinesis Enhanced Fan Out
  • Kinesis Scaling
  • Kinesis Security
  • Kinesis Data Firehose
  • SQS Overview
  • Kinesis Data Streams vs SQS
  • IoT Overview
  • IoT Components Deep Dive
  • Database Migration Service (DMS)
  • Direct Connect
  • Snowball
  • Overview
  • Storage Tiers
  • Lifecycle Rules
  • Versioning
  • Cross Region Replication
  • ETags
  • Performance
  • Encryption
  • Security
  • Glacier & Vault Lock Policies
  • DynamoDB Overview
  • DynamoDB Partitions
  • DynamoDB APIs
  • DynamoDB Indexes: LSI & GSI
  • DynamoDB DAX
  • DynamoDB Streams
  • DynamoDB TTL
  • DynamoDB Security
  • ElastiCache Overview
  • What is AWS Lambda?
  • Lambda Integration
  • Lambda Costs, Promises, and Anti-Patterns
  • What is Glue? + Partitioning your Data Lake
  • Glue, Hive, and ETL
  • Glue Costs and Anti-Patterns
  • Elastic MapReduce (EMR) Architecture and Usage
  • EMR, AWS integration, and Storagen
  • EMR Promises; Intro to Hadoop
  • Intro to Apache Spark
  • Spark Integration with Kinesis and Redshift
  • Hive on EMR
  • Pig on EMR
  • HBase on EMR
  • Presto on EMR
  • Zeppelin and EMR Notebooks
  • Hue, Splunk, and Flume
  • S3DistCP and Other Services
  • EMR Security and Instance Types
  • Machine Learning 101
  • Classification Models
  • Amazon ML Service
  • SageMaker
  • Intro to Kinesis Analytics
  • Kinesis Analytics Costs; RANDOM_CUT_FOREST
  • Intro to Elasticsearch
  • Amazon Elasticsearch Service
  • Intro to Athena
  • Athena and Glue, Costs, and Security
  • Redshift Intro and Architecture
  • Redshift Spectrum and Performance Tuning
  • Redshift Durability and Scaling
  • Redshift Distribution Styles
  • Redshift Sort Keys
  • Redshift Data Flows
  • Redshift Integration / WLM / Vacuum / Anti-Patterns
  • Amazon Relational Database Service (RDS) and Aurora
  • Intro to Amazon Quicksight
  • Quicksight Pricing and Dashboards
  • Choosing Visualization Types
  • Amazon Quicksight
  • Other Visualization Tools (HighCharts, D3, etc)
  • Encryption 101
  • S3 Encryption
  • KMS Overview
  • Cloud HSM Overview
  • AWS Services Security Deep Dive
  • STS and Cross Account Access
  • Identity Federation
  • Policies - Advanced
  • CloudTrail
  • VPC Endpoints

About Big Data Speciality

Big data technologies are some of the most exciting and in-demand skills. These tools power large companies such as Google and Facebook and it is no wonder AWS is spending more time and resources developing certifications, and new services to catalyze the move to AWS big data solutions.This course will provide you with much of the required knowledge needed to be prepared to take the AWS Big Data Specialty Certification.

In basic terms, Big Data is made up of larger and complicated data sets, from new sources in particular. As these sets are so sizeable, they cannot be managed by traditional data processing software. The upside of the large volumes of data is that they can be used to tackle business problems that otherwise would not be able to be addressed.

  • Having a current AWS Certified Cloud Practitioner, or any other AWS Associate level certification
  • At least a couple of years experience in data analytics
  • An understanding of Big Data and its core principles and best practices.

Experienced technologists seeking certification in Big Data technologies on Amazon Web Services.

Frequently Asked Question's

Big Data is the fastest growing and the most promising technology that aids profiles like Big Data Engineer and Big Data Solutions Architect that are in huge demand. This Big Data Architect master’s course will help you grab the best jobs in this domain.This training program has been specifically created to let you master the Hadoop architecture, along with helping you gain proficiency in Business Intelligence domain. Upon the completion of the training, you will be well-versed in extracting valuable business insights from raw data. This way, you can apply for top jobs in the Big Data ecosystem.

Please send us an email to info@transgemini.com, and we will answer any queries you may have!