Big Data Analytics Options on AWS

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Big Data Analytics Options on AWS is a Series containing different articles that provides a basic introduction to different Big Data Analytics Options on AWS. Each article covers the detailed guide on how each service is used for collecting, processing, storing, and analyzing big data.

A Thread 🧵👇

✨Introduction to Amazon Kinesis • Amazon Kinesis is a platform for streaming data on AWS that makes it easy to load and analyze streaming data. Amazon Kinesis also enables you to build custom streaming data applications for specialized needs. More Details here: 👉 https://aditmodi.com/blog/Introduction to Amazon Kinesis

Introduction to Amazon Managed Streaming for Apache Kafka (Amazon MSK)

• Amazon MSK is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications.

More Details here: 👉 https://aditmodi.com/blog/Introduction to Amazon Managed Streaming for Apache Kafka (Amazon MSK)

Introduction to AWS Glue

• AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development.

More Details here: 👉 https://aditmodi.com/blog/Introduction to AWS Glue

Introduction to AWS Lake Formation

• AWS Lake Formation is an integrated data lake service that makes it easy for you to ingest, clean, catalog, transform, and secure your data and make it available for analysis and machine learning. More Details here: 👉 https://aditmodi.com/blog/Introduction to AWS Lake Formation

Introduction to Amazon Redshift • Amazon Redshift is a fast, fully-managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data efficiently using your existing business intelligence tools. More Details here: 👉

https://aditmodi.com/blog/Introduction to Amazon Redshift

Introduction to AWS Lambda

• AWS Lambda enables you to run code without provisioning or managing servers. You pay only for the compute time you consume – there is no charge when your code is not running ****More Details here: 👉

https://aditmodi.com/blog/Introduction to AWS Lambda

Introduction to Amazon DynamoDB

• Amazon DynamoDB is a fast, fully-managed NoSQL database service that makes it simple and cost effective to store and retrieve any amount of data, and serve any level of request traffic. More Details here: 👉 https://aditmodi.com/blog/Introduction to Amazon DynamoDB

Introduction to Amazon Compute Services (EC2, EKS, and ECS)

• Amazon EC2, with instances acting as AWS virtual machines, provides an ideal platform for operating your own self-managed big data analytics applications on AWS infrastructure. More Details here: 👉

https://aditmodi.com/blog/Introduction to Amazon Compute Services (EC2, EKS, and ECS)

Introduction to Amazon OpenSearch Service

• Amazon OpenSearch Service (OpenSearch Service) makes it easy to deploy, operate, and scale OpenSearch Service for log analytics, full text search, application monitoring, and more.

More Details here: 👉

https://aditmodi.com/blog/Introduction to Amazon OpenSearch Service

Introduction to Amazon EMR • Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto.

More Details here: 👉 https://aditmodi.com/blog/Introduction to Amazon EMR

Introduction to Amazon Athena

• Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to setup or manage, and you can start analyzing data immediately.

More Details here: 👉

https://aditmodi.com/blog/Introduction to Amazon Athena

Introduction to Amazon QuickSight

• Amazon QuickSight is a scalable, serverless, embeddable, machine learning-powered business intelligence (BI) service built for the cloud. It makes it easy for all employees within an organization to build visualizations, perform ad hoc analysis, and quickly get business insights from their data, anytime, on any device.