Connect Your Django Projects to PlanetScale Databases
TL;DR
PlanetScale is a MySQL-compatible serverless database platform. Since its database service is a bit different from the actual MySQL, there are some limitations that you can't ignore and must resolve to be able to work with their services. This ...
Read: https://imsadra.me/connect-your-django-projects-to-planetscale-databases
TL;DR
PlanetScale is a MySQL-compatible serverless database platform. Since its database service is a bit different from the actual MySQL, there are some limitations that you can't ignore and must resolve to be able to work with their services. This ...
Read: https://imsadra.me/connect-your-django-projects-to-planetscale-databases
SQL Database
WHAT IS DATABASE AND mySQL?
Database is collection of data stored in such manner that it can be easily accessed.
So you have a database managment system which connects computer to database
There are two types of databse first is relational & anot...
Read: https://booleanbug.hashnode.dev/sql-database
WHAT IS DATABASE AND mySQL?
Database is collection of data stored in such manner that it can be easily accessed.
So you have a database managment system which connects computer to database
There are two types of databse first is relational & anot...
Read: https://booleanbug.hashnode.dev/sql-database
Децентрализованное будущее. Каждому человеку — безопасная капсула для личных данных
В 2009 году, когда самым продвинутым браузером в мире считалась Opera, разработчики выкатили уникальную функцию Opera Unite, что-то вроде интегрированного веб-сервера. Со своей маршрутизацией, схемой именования ресурсов и прокси — всё внутри экосистемы из одноранговой сети пользователей. Грубо говоря, каждый пользователь Opera становился хостером — и раздавал статические ресурсы.
В 2012 году проект Opera Unite закрыли. Ребята примерно на десять лет опередили время…
Читать: https://habr.com/ru/post/681356/
В 2009 году, когда самым продвинутым браузером в мире считалась Opera, разработчики выкатили уникальную функцию Opera Unite, что-то вроде интегрированного веб-сервера. Со своей маршрутизацией, схемой именования ресурсов и прокси — всё внутри экосистемы из одноранговой сети пользователей. Грубо говоря, каждый пользователь Opera становился хостером — и раздавал статические ресурсы.
В 2012 году проект Opera Unite закрыли. Ребята примерно на десять лет опередили время…
Читать: https://habr.com/ru/post/681356/
How To Clean Structured Data Using Python.
INTRODUCTION
Python is a powerful, multipurpose programming language used in plethora of professions such as web development , software development, data science, machine learning and so many more.
In recent years, application of python in data analy...
Read: https://heyfunmi.hashnode.dev/how-to-clean-structured-data-using-python
INTRODUCTION
Python is a powerful, multipurpose programming language used in plethora of professions such as web development , software development, data science, machine learning and so many more.
In recent years, application of python in data analy...
Read: https://heyfunmi.hashnode.dev/how-to-clean-structured-data-using-python
From Local Deploy to Graph Data Science Using Neo4J!
This post on Medium briefly summarizes Neo4J, what it is, who uses it, what it’s for!
Thanks to Neo4j, the U.S. Army can now rapidly store, explore and visualize this wealth of >logistical data. The contrast with their previous system is stark.
“Typ...
Read: https://josueluzardogebrim.hashnode.dev/from-local-deploy-to-graph-data-science-using-neo4j
This post on Medium briefly summarizes Neo4J, what it is, who uses it, what it’s for!
Thanks to Neo4j, the U.S. Army can now rapidly store, explore and visualize this wealth of >logistical data. The contrast with their previous system is stark.
“Typ...
Read: https://josueluzardogebrim.hashnode.dev/from-local-deploy-to-graph-data-science-using-neo4j
Use MySQL database in Golang
In this blog, I am going to make a web application that will store the data of the signup users in the MySQL database.
MySQL is a relational database management system (RDBMS) developed by Oracle that is based on structured query language (SQL).
MySQ...
Read: https://ibilalkayy.hashnode.dev/use-mysql-database-in-golang
In this blog, I am going to make a web application that will store the data of the signup users in the MySQL database.
MySQL is a relational database management system (RDBMS) developed by Oracle that is based on structured query language (SQL).
MySQ...
Read: https://ibilalkayy.hashnode.dev/use-mysql-database-in-golang
Собираем и деплоим приложение на Node.js с помощью werf. Работа с базой данных
Как в MySQL добавить Node.js приложение, развернуть базу данных в кластере, как правильно инициализировать её и выполнить миграции.
Читать: «Собираем и деплоим приложение на Node.js с помощью werf. Работа с базой данных »
Как в MySQL добавить Node.js приложение, развернуть базу данных в кластере, как правильно инициализировать её и выполнить миграции.
Читать: «Собираем и деплоим приложение на Node.js с помощью werf. Работа с базой данных »
👍1
Foreign Key and Referential Integrity
What you will gain from this blog post?
If you are one who is struggling to get the concept of foreign key and referential integrity to stick in your mind, then let me tell you that you are at the right place, because after reading visually appealing...
Read: https://yuvraj01.hashnode.dev/foreign-key-and-referential-integrity
What you will gain from this blog post?
If you are one who is struggling to get the concept of foreign key and referential integrity to stick in your mind, then let me tell you that you are at the right place, because after reading visually appealing...
Read: https://yuvraj01.hashnode.dev/foreign-key-and-referential-integrity
Azure Data Explorer: Log and telemetry analytics benchmark
Azure Data Explorer (ADX), a component of Azure Synapse Analytics, is a highly scalable analytics service optimized for structured, semi-structured, and unstructured data. It provides users with an interactive query experience that unlocks insights from the ocean of ever-growing log and telemetry data. It is the perfect service to analyze high volumes of fresh and historical data in the cloud by using SQL or the Kusto Query Language (KQL), a powerful and user-friendly query language.
Azure Data Explorer is a key enabler for Microsoft’s own digital transformation. Virtually all Microsoft products and services use ADX in one way or another; this includes troubleshooting, diagnosis, monitoring, machine learning, and as a data platform for Azure services such as Azure Monitor, PlayFab, Sentinel, Microsoft 365 Defender, and many others. Microsoft’s customers and partners are using ADX for a large variety of scenarios from fleet management, manufacturing, security analytics solutions, package tracking and logistics, IoT device monitoring, financial transaction monitoring, and many other scenarios. Over the last years, the service has seen phenomenal growth and is now running on millions of Azure virtual machine cores.
Last year, the third generation of the Kusto engine (EngineV3) was released and is currently offered as a transparent, in-place upgrade to all users not already using the latest version. The new engine features a completely new implementation of the storage, cache, and query execution layers. As a result, performance has doubled or more in many mission-critical workloads.
Superior performance and cost-efficiency with Azure Data Explorer
To better help our users assess the performance of the new engine and cost advantages of ADX, we looked for an existing telemetry and logs benchmark that has the workload characteristics common to what we see with our users:
1. Telemetry tables that contain structured, semi-structured, and unstructured data types.
2. Records in the hundreds of billions to test massive scale.
3. Queries that represent common diagnostic and monitoring scenarios.
As we did not find an existing benchmark to meet these needs, we collaborated with and sponsored GigaOm to create and run one. The new logs and telemetry benchmark is publicly available in this GitHub repo. This repository includes a data generator to generate datasets of 1GB, 1TB, and 100TB, as well as a set of 19 queries and a test driver to execute the benchmark.
The results, now available in the GigaOm report, show that Azure Data Explorer provides superior performance at a significantly lower cost in both single and high-concurrency scenarios. For example, the following chart taken from the report displays the results of executing the benchmark while simulating 50 concurrent users:
Learn more
For further insights, we highly recommend reading the full report. And don’t just take our word for it. Use the Azure Data Explorer free offering to load your data and analyze it at extreme speed and unmatched productivity.
Check out our documentation to find out more about Azure Data Explorer and learn more about Azure Synapse Analytics. For deeper technical information, check out the new book Scalable Data Analytics with Azure Data Explorer by Jason Myerscough.
Read: https://azure.microsoft.com/blog/azure-data-explorer-log-and-telemetry-analytics-benchmark/
Azure Data Explorer (ADX), a component of Azure Synapse Analytics, is a highly scalable analytics service optimized for structured, semi-structured, and unstructured data. It provides users with an interactive query experience that unlocks insights from the ocean of ever-growing log and telemetry data. It is the perfect service to analyze high volumes of fresh and historical data in the cloud by using SQL or the Kusto Query Language (KQL), a powerful and user-friendly query language.
Azure Data Explorer is a key enabler for Microsoft’s own digital transformation. Virtually all Microsoft products and services use ADX in one way or another; this includes troubleshooting, diagnosis, monitoring, machine learning, and as a data platform for Azure services such as Azure Monitor, PlayFab, Sentinel, Microsoft 365 Defender, and many others. Microsoft’s customers and partners are using ADX for a large variety of scenarios from fleet management, manufacturing, security analytics solutions, package tracking and logistics, IoT device monitoring, financial transaction monitoring, and many other scenarios. Over the last years, the service has seen phenomenal growth and is now running on millions of Azure virtual machine cores.
Last year, the third generation of the Kusto engine (EngineV3) was released and is currently offered as a transparent, in-place upgrade to all users not already using the latest version. The new engine features a completely new implementation of the storage, cache, and query execution layers. As a result, performance has doubled or more in many mission-critical workloads.
Superior performance and cost-efficiency with Azure Data Explorer
To better help our users assess the performance of the new engine and cost advantages of ADX, we looked for an existing telemetry and logs benchmark that has the workload characteristics common to what we see with our users:
1. Telemetry tables that contain structured, semi-structured, and unstructured data types.
2. Records in the hundreds of billions to test massive scale.
3. Queries that represent common diagnostic and monitoring scenarios.
As we did not find an existing benchmark to meet these needs, we collaborated with and sponsored GigaOm to create and run one. The new logs and telemetry benchmark is publicly available in this GitHub repo. This repository includes a data generator to generate datasets of 1GB, 1TB, and 100TB, as well as a set of 19 queries and a test driver to execute the benchmark.
The results, now available in the GigaOm report, show that Azure Data Explorer provides superior performance at a significantly lower cost in both single and high-concurrency scenarios. For example, the following chart taken from the report displays the results of executing the benchmark while simulating 50 concurrent users:
Learn more
For further insights, we highly recommend reading the full report. And don’t just take our word for it. Use the Azure Data Explorer free offering to load your data and analyze it at extreme speed and unmatched productivity.
Check out our documentation to find out more about Azure Data Explorer and learn more about Azure Synapse Analytics. For deeper technical information, check out the new book Scalable Data Analytics with Azure Data Explorer by Jason Myerscough.
Read: https://azure.microsoft.com/blog/azure-data-explorer-log-and-telemetry-analytics-benchmark/
Better Inventory Management With MongoDB Atlas, Atlas Device Sync, and WeKan
Read: https://www.mongodb.com/blog/post/better-inventory-management-mongodb-atlas-device-sync-wekan
Read: https://www.mongodb.com/blog/post/better-inventory-management-mongodb-atlas-device-sync-wekan
Single-table vs. multi-table design in Amazon DynamoDB
Read: https://aws.amazon.com/blogs/database/single-table-vs-multi-table-design-in-amazon-dynamodb/
Read: https://aws.amazon.com/blogs/database/single-table-vs-multi-table-design-in-amazon-dynamodb/
Introduction to Database
What is data ?
To know about database, first you should know about the concept of data. Data can be said as a collection of distinct small unit of information. We know that in these times there are loads of data available to us. Most of the data may ...
Read: https://aniz.hashnode.dev/introduction-to-database
What is data ?
To know about database, first you should know about the concept of data. Data can be said as a collection of distinct small unit of information. We know that in these times there are loads of data available to us. Most of the data may ...
Read: https://aniz.hashnode.dev/introduction-to-database
Swagger documentation Generator | Easy Tool | Datafinz| Simple configurations
Swagger Tool
A Best Swagger Documentation Generator tool
What is Swagger Documentation?
Swagger is a powerful open source framework that helps developers design, build, and document APIs. Swagger documentation is a critical tool for any business look...
Read: https://iamajith.hashnode.dev/swagger-documentation-generator-easy-tool-datafinz-simple-configurations
Swagger Tool
A Best Swagger Documentation Generator tool
What is Swagger Documentation?
Swagger is a powerful open source framework that helps developers design, build, and document APIs. Swagger documentation is a critical tool for any business look...
Read: https://iamajith.hashnode.dev/swagger-documentation-generator-easy-tool-datafinz-simple-configurations
Streaming tweets using Twitter V2 API | Tweepy
With v2 Twitter API, things have changed when it comes to streaming tweets. Today we're going to see how to use StreamingClient to stream tweets and store them into an SQLite3 database.
About Twitter V2 API
For streaming tweets, you are most likely t...
Read: https://dipankarmedhi.hashnode.dev/streaming-tweets-using-twitter-v2-api-tweepy
With v2 Twitter API, things have changed when it comes to streaming tweets. Today we're going to see how to use StreamingClient to stream tweets and store them into an SQLite3 database.
About Twitter V2 API
For streaming tweets, you are most likely t...
Read: https://dipankarmedhi.hashnode.dev/streaming-tweets-using-twitter-v2-api-tweepy
SQL Basics
Hello Hashnoders! I have a story about SQL. I hope it helps you who might be learning or looking to learn SQL.
How it Began
I started learning SQL first week of August 2022. I signed up on DataCamp and shortly after, applied for a scholarship program...
Read: https://ayowande.hashnode.dev/sql-basics
Hello Hashnoders! I have a story about SQL. I hope it helps you who might be learning or looking to learn SQL.
How it Began
I started learning SQL first week of August 2022. I signed up on DataCamp and shortly after, applied for a scholarship program...
Read: https://ayowande.hashnode.dev/sql-basics
Best practices to deploy Amazon Aurora databases with AWS CloudFormation
Read: https://aws.amazon.com/blogs/database/best-practices-to-deploy-amazon-aurora-databases-with-aws-cloudformation/
Read: https://aws.amazon.com/blogs/database/best-practices-to-deploy-amazon-aurora-databases-with-aws-cloudformation/
How Trust and Collaboration Are Helping Intern Erin McNulty Take On New Challenges
Read: https://www.mongodb.com/blog/post/how-trust-collaboration-helping-intern-take-on-new-challenges
Read: https://www.mongodb.com/blog/post/how-trust-collaboration-helping-intern-take-on-new-challenges
Databases and Database Management System
The amount of Information available to us is literally exploding, and the value of data as an organizational asset is widely recognized. To get the most out of their large and complex datasets, user requires tools that simplify the tasks of managing ...
Read: https://mahekgor.hashnode.dev/databases-and-database-management-system
The amount of Information available to us is literally exploding, and the value of data as an organizational asset is widely recognized. To get the most out of their large and complex datasets, user requires tools that simplify the tasks of managing ...
Read: https://mahekgor.hashnode.dev/databases-and-database-management-system
MongoDB and IONOS: Helping European Organizations in Regulated Industries Move to the Cloud
Read: https://www.mongodb.com/blog/post/mongodb-ionos-helping-european-organizations-regulated-industries-move-to-cloud
Read: https://www.mongodb.com/blog/post/mongodb-ionos-helping-european-organizations-regulated-industries-move-to-cloud
Amazon DynamoDB can now import Amazon S3 data into a new table
Read: https://aws.amazon.com/blogs/database/amazon-dynamodb-can-now-import-amazon-s3-data-into-a-new-table/
Read: https://aws.amazon.com/blogs/database/amazon-dynamodb-can-now-import-amazon-s3-data-into-a-new-table/