ProjectPro

JUNE 6, 2025

This project builds a comprehensive ETL and analytics pipeline, from ingestion to visualization, using Google Cloud Platform. Store the data in in Google Cloud Storage to ensure scalability and reliability. Load raw data into Google Cloud Storage, preprocess it using Mage VM, and store results in BigQuery.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

Knowledge Hut

NOVEMBER 16, 2023

DBA – MySQL – SQL Server In this highly competitive as well as dynamic Software/IT industry, there is one course the one course, which is very popular and can give you a stable career, DBA. Once you've finished the program, look into the Google Cloud Machine Learning Engineer certification to advance your professional career.

Technology 98

Technology MySQL MongoDB Google Cloud 98

Hevo

MAY 10, 2024

Organizations often manage operational data using open-source databases like MySQL, frequently deployed on local machines. To enhance data management and security, many organizations prefer deploying these databases on cloud providers like AWS, Azure, or Google Cloud Platform (GCP).

MySQL 52

MySQL Google Cloud AWS SQL 52

Hevo

MAY 10, 2024

Google Cloud MySQL (GCP MySQL) is one such reliable platform that caters to these needs by efficiently storing and managing data. With increasing data volumes available from various sources, there is a rise in the demand for relational databases with improved scalability and performance for managing this data.

MySQL 52

MySQL Google Cloud Relational Database Data Analytics 52

Hevo

MAY 10, 2024

With Google Cloud Platform (GCP) MySQL, businesses can manage relational databases with more stability and scalability. GCP MySQL provides dependable data storage and effective query processing.

MySQL 52

MySQL Google Cloud Relational Database Data Storage 52

ProjectPro

JUNE 6, 2025

You can pick any of these cloud computing project ideas to develop and improve your skills in the field of cloud computing along with other big data technologies. Create an Aurora Postgres instance using RDS and deploy DMS SCT between MySQL and Postgres. Migrate database elements, analyze migration data, and load it into AWS S3.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

ProjectPro

JUNE 6, 2025

Furthermore, serverless computing in AWS, Google Cloud Platform , and Azure is expanding. In this real-time AWS Lambda website monitoring project , you will use AWS services like Amazon Dynamo DB, Lambda, Aurora, MySQL, and Kinesis to build the best website monitoring solutions.

AWS 40

AWS Project MySQL Google Cloud 40

François Nguyen

MARCH 22, 2021

It will be illustrated with our technical choices and the services we are using in the Google Cloud Platform. With this 3rd platform generation, you have more real time data analytics and a cost reduction because it is easier to manage this infrastructure in the cloud thanks to managed services.

Technology 130

Technology Architecture Google Cloud Metadata 130

Data Engineering Podcast

NOVEMBER 20, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. runs natively on data lakes and warehouses and in AWS, Google Cloud and Microsoft Azure.

Data Lake 130

Data Lake MongoDB Data Ingestion Scala 130

ProjectPro

JUNE 6, 2025

Data Engineers usually opt for database management systems for database management and their popular choices are MySQL, Oracle Database, Microsoft SQL Server, etc. Project Idea: PySpark ETL Project-Build a Data Pipeline using S3 and MySQL Experience Hands-on Learning with the Best AWS Data Engineering Course and Get Certified!

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

It supports six database engines, i.e. MySQL, Postgres, Amazon Aurora, MariaDB, Microsoft SQL Server, Oracle. Shield ( Standard and Advanced ) WAF ( web application firewall ) Route 53 ( DNS ) ELB ( Elastic Load Balancing) VPC ( Virtual Private Cloud) CloudFront 9. Google Cloud Platform(GCP) Interview Questions and Answers 1.

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

Data Engineering Podcast

JULY 17, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs.

Data Management 130

Data Management Management Metadata MongoDB 130

ProjectPro

JUNE 6, 2025

So, we will automate this extract-transform-load process by building ETL pipelines using MySQL and Docker. You will use Docker containers to run MySQL queries. This cool docker project aims to build an end-to-end CI/CD pipeline using Kubeflow and deploy the project solution over the Google Cloud Platform (GCP ).

Project 45

Project AWS Machine Learning Data Science 45

Data Engineering Podcast

NOVEMBER 13, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Email hosts@dataengineeringpodcast.com ) with your story. Email hosts@dataengineeringpodcast.com ) with your story.

MongoDB 100

MongoDB Scala MySQL Google Cloud 100

ProjectPro

JUNE 6, 2025

The data integration aspect of the project is highlighted in the utilization of relational databases, specifically PostgreSQL and MySQL , hosted on AWS RDS (Relational Database Service). The diverse dataset, consisting of tables such as City Weather, Routes, Drivers, and more, offers unique insights into truck logistics.

Data Integration 40

Data Integration Project Hospitality Data Lake 40

ProjectPro

JUNE 6, 2025

Once the API works correctly, you can deploy it using cloud services such as AWS or Heroku. You can deploy a FastAPI project using any cloud provider or hosting service, such as AWS, Google Cloud, Microsoft Azure, etc., You can choose the API that suits your requirements and sign up for an API key.

Project 45

Project MongoDB Machine Learning AWS 45

Edureka

JANUARY 21, 2025

Define and Access the Database in Flask Flask supports databases like SQLite, MySQL, and PostgreSQL. Ensure Flask runs behind a reverse proxy like Nginx.

Python 52

Python Building Certification Database 52

ProjectPro

JUNE 6, 2025

Big data is primarily stored in the cloud for easier access and manipulation to query and analyze data. Cloud platforms like Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure , Cloudera, etc., provide cloud services for deploying data models. MySQL, Oracle) and non-relational (e.g.,

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

ProjectPro

JUNE 6, 2025

12) Cloud-Native Microservices Deployment Deploying microservices on a cloud-native infrastructure is a complex task that requires expertise in various areas such as networking, security, scalability, and high availability.

Project 40

Project Amazon Web Services AWS Cloud 40

ProjectPro

JUNE 6, 2025

Additionally, you can allow the tool to access and analyze data from Google technologies, including Campaign Manager 360, Google Analytics, MySQL , and Google Sheets. Looker Looker is one of the most widely used cloud-based business intelligence and data analytics applications, with over 51,779 community members.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

As of 2021, Amazon Web Services (AWS) is the most popular vendor controlling 32% of the cloud infrastructure market share. Its closest competitors, Microsoft Azure and Google Cloud account for 29% of the total market share. Elastic Cache manages the memory cache and plays a vital role in efficiently reducing the service loads.

AWS 40

AWS Architecture Amazon Web Services Cloud Computing 40

Knowledge Hut

FEBRUARY 6, 2024

Prometheus : is an open-source real-time metrics-based event monitoring and alerting system. You can easily build and deliver products, automate CI/CD process without having to worry about provisioning and configuring the environment B.

Engineering 98

Engineering Programming Language Amazon Web Services Google Cloud 98

Striim

FEBRUARY 10, 2023

Macy’s migrated its on-premise inventory and order data to Google Cloud storage to reach its objectives. The company decided to move to the cloud based on the benefits of cost efficiency, flexibility, and improved data management.

Data Analytics 52

Data Analytics Telecommunication Insurance Google Cloud 52

ProjectPro

JUNE 6, 2025

Salary ranges can vary greatly depending on various factors, including education, certifications, supplementary talents, and years of experience. Ensure data quality across the organization Provide suggestions for developing plans, initiatives, strategies, policies, and budgets.

Data Science 56

Data Science Data Mining Data Architect BI 56

Knowledge Hut

DECEMBER 21, 2023

Familiarity with database technologies such as MySQL, Oracle, and MongoDB. Familiarity with database technologies such as MySQL, Oracle, and MongoDB. Cloud Data Engineer A cloud data engineer designs, builds, and maintains data infrastructures to run on cloud platforms such as AWS or Google Cloud.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Rockset

JANUARY 9, 2023

Connected to it via an ETL pipeline was a MySQL database running in Google Cloud that serves up both our large ongoing workhorse queries and also the super-fast ad hoc queries of smaller datasets. However, the biggest reason was simply that MySQL is not designed for high-speed analytics. It took just one week.

MySQL 52

MySQL MongoDB Recruitment Data Ingestion 52

ProjectPro

JUNE 6, 2025

SQLAlchemy or psycopg2 For Data Loading To load your transformed data into relational databases like PostgreSQL or MySQL, tools like SQLAlchemy (for ORM-style interaction) or psycopg2 (for direct PostgreSQL access) are widely used. It’s ideal for both small datasets and initial stages of large scale data processing.

Python 40

Python Building PostgreSQL Raw Data 40

ProjectPro

JUNE 6, 2025

After extracting raw data from popular sources, it loads it into cloud data platform destinations such as Amazon Redshift, Google BigQuery, Snowflake , and Azure. It efficiently develops data pipelines to integrate your data sources into major cloud data platforms, such as Google Cloud Platform (GCP) or AWS.

Big Data Tools 40

Big Data Tools Big Data Hadoop Kafka 40

Knowledge Hut

DECEMBER 28, 2023

MySQL Workbench MySQL Workbench is one of the popular visual tools for database architects. MySql workbench is available on every platform like Windows, Linux, and Mac. Pricing Policy- MySQL Workbench is a completely free database management system, so enjoy the free database tools. Cons: Support only MariaDB and MySQL.

Database 52

Database MySQL SQL Relational Database 52

Ascend.io

JUNE 22, 2023

In the example below, we connected to a MySQL database, Snowflake Data Warehouse and Google Cloud Storage (blob storage). Getting Started All you need to establish a connection to MotherDuck in Ascend is the name of your MotherDuck database and your credential token!

NoSQL 52

NoSQL MySQL Google Cloud Cloud Storage 52

Striim

NOVEMBER 30, 2022

Some of the sources Striim supports include: Databases: Oracle, Microsoft SQL Server, MySQL, PostgreSQL, etc. Striim is available for other cloud environments, too Like AWS, Striim Cloud is available on other leading cloud ecosystems like Google Cloud and Microsoft Azure.

AWS 52

AWS Cloud Management MySQL 52

Knowledge Hut

DECEMBER 22, 2023

Some popular choices include MySQL, MongoDB, Oracle Database, and SQLite. Some popular servers you need to learn the usage of are Heroku, Google cloud platform, Amazon web services, and Microsoft Azure. Django, written in Python language, supports databases like Oracle and MySQL.

Recruitment 98

Recruitment Portfolio Programming Language Java 98

Knowledge Hut

DECEMBER 22, 2023

This person may work with architects who design cloud infrastructure on networking or cloud teams. Who is a Cloud Network Engineer? A Professional Cloud Network Engineer works closely with Google Cloud's network architecture team to design, implement, and manage cloud networks.

Cloud 52

Cloud Engineering Amazon Web Services Google Cloud 52

Knowledge Hut

DECEMBER 26, 2023

The data that the web server may obtain an offer based on the user's individual request is stored in the MySQL database (a relational database management system). In order to get dynamic material from the MySQL database and return it to the user, the PHP programming language collaborates with Apache.

MySQL 52

MySQL MongoDB Programming Language Computer Science 52

ProjectPro

JUNE 6, 2025

Deployment & Real-Time Monitoring: Deploy the solution on cloud platforms like AWS Lambda, Azure Functions, or Google Cloud Run for scalable processing. Use Graph-Based Search Algorithms (A)* and Dijkstra’s Algorithm for rapid path recalculations. Data Required for the Project Order History & Patterns (e.g.,

Data Science 40

Data Science Project Management Transportation 40

Booking.com Engineering

DECEMBER 2, 2022

In this article, we want to illustrate our extensive use of the public cloud, specifically Google Cloud Platform (GCP). A Unified View for Operational Data We kept most of our operational data in relational databases, like MySQL. Booking Holdings, as a whole, spent $4.7 How do we run PPC at our scale, and efficiently?

Systems 52

Systems Cloud MySQL Relational Database 52

ProjectPro

JUNE 6, 2025

This growth is due to the increasing adoption of cloud-based data integration solutions such as Azure Data Factory. If you have heard about cloud computing , you would have heard about Microsoft Azure as one of the leading cloud service providers in the world, along with AWS and Google Cloud.

Data Lake 60

Data Lake Metadata SQL Datasets 60