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Elasticsearch Aggregations Overview

Elasticsearch aggregations group and extract summaries out of your data. 

Aggregations belong into four main families:

  1. Bucketing

    1. Bucketing aggregations build buckets (groups) and put documents into relevant bucket based on some criteria. Each bucket is associated with a key and a document criterion

  2. Metric

    1. Metric Aggregations compute metrics over a set of documents.

      1. Two types:

        1. Single value numeric metric aggregations (output single value)

Introduction to Amazon Elasticsearch Service

Amazon Elasticsearch Service (Amazon ES) is an AWS managed Elasticsearch service on the AWS Cloud. Amazon ES delivers Elasticsearch’s APIs and real-time capabilities along with the availability, scalability, and security required by production workloads. Amazon Elasticsearch Service currently supports Elasticsearch versions upto 6.2.

DynamoDB Quick Notes (Numbers)

DynamoDB is very important for clearing AWS Certified Developer Associate.

Quick Notes (Numbers)

  1. DynamoDB synchronously replicates data across three facilities in an AWS Region.

  2. DynamoDB Streams captures a time-ordered sequence of item-level modifications in any DynamoDB table, and stores this information in a log for up to 24 hours.

AWS Database, Messaging and Application Services Quick Notes (Numbers)

  1. Elasticache for redis support both single-node and up to 15-shard clusters are available, enabling scalability to up to 3.55 TiB of in-memory data.

  2. For standard SQS queues, there can be a maximum of 120K inflight messages per queue. For FIFO SQS queues, max is 20K.


Learn Serverless from Serverless Programming Cookbook


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CloudMaterials is my blog to share notes and learning materials on Cloud and Data Analytics. My current focus is on Microsoft Azure and Amazon Web Services (AWS).

I like to write and I try to document what I learn to share with others. I believe that knowledge is useless unless you share it; the more you share, the more you learn.

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