Willa Anderson

Willa Anderson

1605791776

Amazon DynamoDB Vs. Apache Cassandra: A Comparative Study

Business companies from all over the world are attempting to build large-scale, distributed system-based scalable databases. Today, Amazon DynamoDB happens to be one of the most powerful databases. So, how does it compare with the best breeds of open-source databases, such as Apache Cassandra? It’s what you’ll learn here if you continue reading.

Business organizations are doing their best to succeed at establishing large-scale, distributed system-based scalable databases. One of the most powerful databases that are available today is Amazon DynamoDB. How does it compare against the best open-source database called Apache Cassandra? It’s precisely what you’ll learn about here. With the information provided here, you should be able to decide whether to select a leading Amazon DynamoDB development company or resort to Apache Cassandra consulting and development services.

Both Apache Cassandra and DynamoDB possess incredible data storage technologies. Both of them serve numerous applications and proved their efficiency at an unprecedented scale. Regardless of what you choose, you can be sure that it will allow you to manage data without a specific column schema. Of course, the concept of tables is still there, but you won’t need it for a specific set of columns, as you generally do with MySQL or SQL servers.

Explore more: https://www.moontechnolabs.com/blog/amazon-dynamodb-vs-apache-cassandra-a-comparative-study/

#mobile-app-development-services #moontechnolabs #hire-dedicated-app-developers #amazon-dynamo-db #apache-cassandr

What is GEEK

Buddha Community

Amazon DynamoDB Vs. Apache Cassandra: A Comparative Study

AWS DynamoDB Vs Apache Cassandra: Comparing The Two NoSQL Databases

Companies are trying hard to succeed at building large-scale, distributed systems-based scalable databases. Let’s talk about one of the most powerful databases, Amazon DynamoDB and how it compares with the best of breed open-source database Apache Cassandra. In this article, we will compare two database systems and help with pointers that one should keep in mind while deciding on which database to use for your applications.
Read more: https://analyticsindiamag.com/aws-dynamodb-vs-apache.../

#apache #dynamodb #cassandra #database #aws

Willa Anderson

Willa Anderson

1605791776

Amazon DynamoDB Vs. Apache Cassandra: A Comparative Study

Business companies from all over the world are attempting to build large-scale, distributed system-based scalable databases. Today, Amazon DynamoDB happens to be one of the most powerful databases. So, how does it compare with the best breeds of open-source databases, such as Apache Cassandra? It’s what you’ll learn here if you continue reading.

Business organizations are doing their best to succeed at establishing large-scale, distributed system-based scalable databases. One of the most powerful databases that are available today is Amazon DynamoDB. How does it compare against the best open-source database called Apache Cassandra? It’s precisely what you’ll learn about here. With the information provided here, you should be able to decide whether to select a leading Amazon DynamoDB development company or resort to Apache Cassandra consulting and development services.

Both Apache Cassandra and DynamoDB possess incredible data storage technologies. Both of them serve numerous applications and proved their efficiency at an unprecedented scale. Regardless of what you choose, you can be sure that it will allow you to manage data without a specific column schema. Of course, the concept of tables is still there, but you won’t need it for a specific set of columns, as you generally do with MySQL or SQL servers.

Explore more: https://www.moontechnolabs.com/blog/amazon-dynamodb-vs-apache-cassandra-a-comparative-study/

#mobile-app-development-services #moontechnolabs #hire-dedicated-app-developers #amazon-dynamo-db #apache-cassandr

Mireille  Von

Mireille Von

1625766840

Batch Processing Example using Amazon Data Pipeline | S3 to DynamoDB using Amazon EMR

This video covers a hands-on example in setting up Batch Processing example using Amazon Data Pipeline which leverages S3 and DynamoDB along with Amazon EMR.
The following is the agenda for the video:

⏱ Chapter Timestamps

0:00 - Introduction
00:28 - Architecture Flow
2:31 - Pre-requisite: Amazon S3 Buckets Creation
3:44 - Pre-requisite: Amazon DynamoDB Table Creation
5:15 - Pre-requisite: Amazon S3 file format Creation
8:20 - Pre-requisite: Amazon Data Pipeline Creation
12:40 - Data Format Configuration in Data Pipeline
14:14 - Activate Data Pipeline
17:52 - Data Loaded into DynamoDB
19:03 - Serverless Data Pipeline Trigger using EventBridge and Lambda
20:06 - Summary

📌 Links

🔗 Amazon Data Pipeline: https://aws.amazon.com/datapipeline/

📌 Related Videos

🔗AWS Primer: https://www.youtube.com/playlist?list=PLTyWtrsGknYdyi0JR7c1wsuv-Plrwrzqj
🔗 System Design Primer: https://www.youtube.com/playlist?list=PLTyWtrsGknYeX_wV9ysDuuAxvxfSBfVSI
🔗 Containers Primer: https://www.youtube.com/watch?v=yo2g_CZZWL4&list=PLTyWtrsGknYf_Oee7YOvom5Ev0F3-E2zB
🔗 Kubernetes Primer: https://www.youtube.com/playlist?list=PLTyWtrsGknYfanKF33E12LdJvl5q5PZGp

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🎬Video Editing: FCP


🔥 Disclaimer/Policy:
The content/views/opinions posted here are solely mine and the code samples created by me are open sourced.
You are free to use the code samples in Github after forking and you can modify it for your own use.
All the videos posted here are copyrighted. You cannot re-distribute videos on this channel in other channels or platforms.
#AmazonDataPipeline #AmazonEMR #TechPrimers

#amazon data pipeline #batch processing example #amazon #dynamodb #amazon emr

Ly  Jangi

Ly Jangi

1600671394

AWS DynamoDB vs. Apache Cassandra: Comparing The Two NoSQL Database

Companies are trying hard to succeed at building large-scale, distributed systems-based scalable databases. Let’s talk about one of the most powerful  databases, Amazon DynamoDB and how it compares with the best of breed open-source database Apache Cassandra. In this article, we will compare two database systems and help with pointers that one should keep in mind while deciding on which database to use for your applications.

DynamoDB and Apache Cassandra are both well known distributed data store technologies. Both are utilised in numerous applications and have proven their efficiency at an unprecedented scale. Both databases present the ability to manage data without a specific column schema. The concept of tables still exists, but there’s no requirement for a specific set of columns as you might find with a MySQL or SQL server.

#opinions #database #nosql databases #aws dynamodb #apache cassandra

Lenora  Hauck

Lenora Hauck

1598604420

How To Start with Apache Spark and Apache Cassandra

Apache Cassandra is a specific database that scales linearly. This has its price: specific table modelling, configurable consistency and limited analytics. Apple performs millions of operations per second on over 160,000 Cassandra instances while collecting over 100 PBs of data. You can bypass these limited analytics with the Apache Spark and the DataStax connector, and that’s what the story is about.

Setup

I’ve used one Apache Cassandra node on Docker

version: '3'

services:
  cassandra:
    image: cassandra:latest
    ports:
      - "9042:9042"

Apache Spark 3.0 is launched as shell with connector and Cassandra’s client library, which will be useful for timeuuid type conversion.

./spark-shell --packages com.datastax.spark:spark-cassandra-connector_2.12:3.0.0-beta,com.datastax.cassandra:cassandra-driver-core:3.9.0

If Cassandra is not running locally, you need to configure its address.

spark.conf.set("spark.cassandra.connection.host", "127.0.0.1")

Data

To test the Spark + Cassandra combination, I generated some date using mockaroo.com. It’s a list of sensors and a list of measurements from those sensors. You can find them in the repository on GitHub.

#apache-spark #cassandra #spark #apache-cassandra #analytics