Analytics

Question 1

An interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL

Answer 1

“Amazon Athena”

Advantage - No need for complex extract, transform, and load (ETL) jobs to prepare your data for analysis

Question 2

Managed service in the AWS Cloud that makes it simple and cost-effective to set up, manage, and scale a search solution for your website or application

Answer 2

“Amazon CloudSearch”

Features - supports 34 languages, highlighting, autocomplete, and geospatial search enabled

Question 3

Makes it easy to deploy, secure, operate, and scale to search, analyze, and visualize data in real-time

Answer 3

“Amazon Elasticsearch Service”

Capabilities - Power UCs such as log analytics, full-text search, application monitoring, and clickstream analytics

Question 4

Makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information

Answer 4

“Amazon Kinesis”

With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications.

Question 5

Fast, scalable data warehouse that makes it simple and cost-effective to analyze all your data across your data warehouse and data lake

Answer 5

“Amazon Redshift”
Advantages -
- 10x faster performance than other DW by using machine learning
- Massively parallel query execution
- Columnar storage on high-performance disk