AWS Certified Big Data Specialty
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The AWS Certified Data Analytics Specialty Exam is renowned for its difficulty among Amazon's certification exams. Passing it demonstrates to employers your extensive and profound knowledge of data systems. However, thorough preparation is essential even for seasoned technologists. This course equips you for success by comprehensively covering all the significant data technologies tested in the exam while delving into AWS within Big Data.

The domain of data analytics on AWS encompasses a vast array of technologies and services. Here's a glimpse of the topics extensively covered in this course:

- Streaming massive data using AWS Kinesis
- Message queuing with Simple Queue Service (SQS)
- Handling data influx from the Internet of Things (IoT)
- Migration from small to big data using the AWS Database Migration Service (DMS)
- Storage of extensive data lakes with Simple Storage Service (S3)
- Optimization of transactional queries with DynamoDB
- Integration of extensive data systems with AWS Lambda
- Enabling querying of unstructured data with AWS Glue, Glue ETL, Glue DataBrew, Glue Studio, and Lake Formation
- Data processing at unlimited scale with Elastic MapReduce, including Apache Spark, Hive, HBase, Presto, Zeppelin, Splunk, and Flume
- Deployment of neural networks at scale with Deep Learning, MXNet, and TensorFlow
- Application of advanced machine learning algorithms at scale with Amazon SageMaker
- Real-time analysis of streaming data with Kinesis Analytics
- Search and analysis of petabyte-scale data with Amazon OpenSearch (formerly Elasticsearch) Service
- Querying S3 data lakes with Amazon Athena
- Hosting extensive-scale data warehouses with Redshift and Redshift Spectrum
- Integration of minor data with big data using the Relational Database Service (RDS) and Aurora
- Interactive data visualization with Quicksight
- Ensuring data security with encryption, KMS, HSM, IAM, Cognito, STS, and more

What you'll learn:

- Enhance your chances of passing the AWS Certified Data Analytics Specialty exam
- Manage and transform massive data streams with Kinesis
- Store large-scale data with S3 and DynamoDB securely and efficiently
- Process big data using AWS Lambda and Glue ETL
- Employ the Hadoop ecosystem with AWS through Elastic MapReduce
- Apply machine learning techniques to vast data sets with Amazon ML, SageMaker, and deep learning
- Analyze extensive data with Kinesis Analytics, Amazon Elasticsearch Service, Redshift, RDS, and Aurora

Course Components:

Course:

- AWS Certified Big Data Specialty Course

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