Ian  Robinson

Ian Robinson

1622434380

Step-by-Step Tutorial: From Data Preprocessing to Using Graph Database

This article is contributed by Jiayi98, a Nebula Graph user. She shared her experience in deploying Nebula Graph offline and preprocessing a dataset provided by LDBC.

This article is contributed by Jiayi98, a Nebula Graph user. She shared her experience in deploying Nebula Graph offline and preprocessing a dataset provided by LDBC. It is a beginner-friendly step-by-step guide to learn Nebula Graph.

This is not standard stress testing, but a small-scale test. Through this test, I got familiar with the deployment of Nebula Graph, its data import tool, its graph query language, Java API, and data migration. Additionally, now I have a basic understanding of its cluster performance.

Preparation

Internet connection is necessary for the following preparations.

  1. Download an RPM file of Docker: https://docs.docker.com/engine/install/centos/#install-from-a-package
  2. Download a TAR file of Docker Compose: https://github.com/docker/compose/releases
  3. Pull the following images from https://hub.docker.com/search?q=vesoft&type=image and run docker save image name to save them to tar archives: nebula-metad, nebula-graphd, nebula-storaged, nebula-console, nebula-graph-studio, nebula-http-gateway, nebula-http-client, nginx, and nebula-importer.
  4. Copy and modify the YAML file from https://github.com/vesoft-inc/nebula-docker-compose/blob/docker-swarm/docker-stack.yaml
  5. On the nebula-graph-studio GitHub page (https://github.com/vesoft-inc/nebula-web-docker), download its RPM file.

#tutorial #big data #graph database #nebula graph #tutorial for beginners #big data tutorial

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Step-by-Step Tutorial: From Data Preprocessing to Using Graph Database
Ian  Robinson

Ian Robinson

1622434380

Step-by-Step Tutorial: From Data Preprocessing to Using Graph Database

This article is contributed by Jiayi98, a Nebula Graph user. She shared her experience in deploying Nebula Graph offline and preprocessing a dataset provided by LDBC.

This article is contributed by Jiayi98, a Nebula Graph user. She shared her experience in deploying Nebula Graph offline and preprocessing a dataset provided by LDBC. It is a beginner-friendly step-by-step guide to learn Nebula Graph.

This is not standard stress testing, but a small-scale test. Through this test, I got familiar with the deployment of Nebula Graph, its data import tool, its graph query language, Java API, and data migration. Additionally, now I have a basic understanding of its cluster performance.

Preparation

Internet connection is necessary for the following preparations.

  1. Download an RPM file of Docker: https://docs.docker.com/engine/install/centos/#install-from-a-package
  2. Download a TAR file of Docker Compose: https://github.com/docker/compose/releases
  3. Pull the following images from https://hub.docker.com/search?q=vesoft&type=image and run docker save image name to save them to tar archives: nebula-metad, nebula-graphd, nebula-storaged, nebula-console, nebula-graph-studio, nebula-http-gateway, nebula-http-client, nginx, and nebula-importer.
  4. Copy and modify the YAML file from https://github.com/vesoft-inc/nebula-docker-compose/blob/docker-swarm/docker-stack.yaml
  5. On the nebula-graph-studio GitHub page (https://github.com/vesoft-inc/nebula-web-docker), download its RPM file.

#tutorial #big data #graph database #nebula graph #tutorial for beginners #big data tutorial

Siphiwe  Nair

Siphiwe Nair

1625133780

SingleStore: The One Stop Shop For Everything Data

  • SingleStore works toward helping businesses embrace digital innovation by operationalising “all data through one platform for all the moments that matter”

The pandemic has brought a period of transformation across businesses globally, pushing data and analytics to the forefront of decision making. Starting from enabling advanced data-driven operations to creating intelligent workflows, enterprise leaders have been looking to transform every part of their organisation.

SingleStore is one of the leading companies in the world, offering a unified database to facilitate fast analytics for organisations looking to embrace diverse data and accelerate their innovations. It provides an SQL platform to help companies aggregate, manage, and use the vast trove of data distributed across silos in multiple clouds and on-premise environments.

**Your expertise needed! **Fill up our quick Survey

#featured #data analytics #data warehouse augmentation #database #database management #fast analytics #memsql #modern database #modernising data platforms #one stop shop for data #singlestore #singlestore data analytics #singlestore database #singlestore one stop shop for data #singlestore unified database #sql #sql database

I am Developer

1599190536

How to Store Form Data in Database using PHP -2020

In this php code to insert form data into mysql database. I will show you simple way of how to create an html form that stores data in a mysql database using php.

#How to store form data in database using php

  1. Create html form
  2. Create mysql database connection file
  3. Create php file to insert form data into mysql database

https://www.tutsmake.com/php-code-insert-data-into-mysql-database-from-form/

#php code for inserting data into database from form #how to insert data in mysql using php form #how to insert data into database in php using xampp #how to save data from html form to a database using php #how to save data in database on button click in php

Ruth  Nabimanya

Ruth Nabimanya

1620663480

Which Database Is Right For You?Graph Database vs. Relational Database

At the very beginning of most development endeavors lies an important question: What database do I choose? There is such an abundance of database technologies at this moment, it’s no wonder many developers don’t have the time or energy to research new ones. If you are one of those developers and you aren’t very familiar with graph databases in general, you’ve come to the right place!

In this article, you will learn about the main differences between a graph database and a relational database, what kind of use-cases are best suited for each database type, and what are their strengths and weaknesses.

How Does a Graph Database Differ from a Relational Database?

The Graph Data Model

The Relational Data Model

When to use a Graph Database?

When not to use a Graph Database

Is a Graph Database Worth it?

#graph-database #relational-database #graph-theory #graph-analysis #data-analytics #networks #data #database

Siphiwe  Nair

Siphiwe Nair

1620466520

Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition