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

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

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

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

AltexSoft

OCTOBER 21, 2022

popular SQL and NoSQL database management systems including Oracle, SQL Server, Postgres, MySQL, MongoDB, Cassandra, and more; cloud storage services — Amazon S3, Azure Blob, and Google Cloud Storage; message brokers such as ActiveMQ, IBM MQ, and RabbitMQ; Big Data processing systems like Hadoop ; and.

Kafka 93

Kafka Hadoop ETL Tools Java 93

AltexSoft

MAY 12, 2023

It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. There are several widely used unstructured data storage solutions such as data lakes (e.g., Google Cloud Storage can also be used as a data lake system.

Unstructured Data 59

Unstructured Data NoSQL Data Lake Hadoop 59

Knowledge Hut

JULY 24, 2023

Traditional SQL-based relational database management systems are available with relational cloud databases like Amazon RDS and Google Cloud SQL. NoSQL cloud databases offer non-relational, schema-less, and horizontally scalable databases. Examples include Amazon DynamoDB and Google Cloud Datastore.

Database 52

Database Management NoSQL Relational Database 52

Edureka

OCTOBER 10, 2024

These include: Azure Services: This is because copying volumes of data from one service to another is very easy with full support for Microsoft Azure Blob Storage, Azure Data Lake Storage Gen 1 and Gen 2, Azure SQL Data Base, and Azure Synapse Analytics. can be ingested in Azure.

MongoDB 40

MongoDB NoSQL Metadata Cloud Storage 40

ProjectPro

AUGUST 24, 2021

Source Code: Event Data Analysis using AWS ELK Stack 5) Data Ingestion This project involves data ingestion and processing pipeline with real-time streaming and batch loads on the Google cloud platform (GCP). Create a service account on GCP and download Google Cloud SDK(Software developer kit).

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JULY 30, 2021

50 Cloud Computing Interview Questions and Answers f0r 2023 Knowing how to answer the most commonly asked cloud computing questions can increase your chances of landing your dream cloud computing job roles. What are some popular use cases for cloud computing? Google Cloud Platform(GCP) Interview Questions and Answers 1.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Knowledge Hut

APRIL 12, 2023

Azure provides you with a multitude of tools and services, including: Virtual machines: It provides you with virtual machines that can be used to run applications and services on the cloud. Storage: With Azure, you get several storage options, including blob storage, file storage, and disk storage.

Cloud Computing 52

Cloud Computing Amazon Web Services Certification Cloud 52

U-Next

JULY 2, 2022

It is no secret that Google Cloud Platform and OpenStack enjoy a stranglehold on the big data and software development markets. The choice of one or more cloud engineer skills would depend on the business needs and the requirements.

Cloud 40

Cloud Engineering Cloud Computing Amazon Web Services 40

Rockset

JUNE 7, 2021

These CDC implementations are offered in the form of configurable connectors for systems such as MongoDB , DynamoDB , MySQL , Postgres and others. For most of the supported data sources the latency between the source and target is under 5 seconds.

IT 40

IT Kafka MongoDB Database 40

ProjectPro

JUNE 6, 2025

How to Check if MySQL Is Connected to Apache Airflow? The following code shows the creation of two tasks: one for running a bash command and another for executing a MySQL query. They simplify integration with external APIs and databases like Hive, MySQL, and GCS. Google Cloud Platform) that you are using.

MySQL 40

MySQL Data Pipeline Metadata Google Cloud 40

ProjectPro

JUNE 6, 2025

Numerous efficient ETL tools are available on Google Cloud, so you won't have to perform ETL manually and risk compromising the integrity of your data. Look deeper at some of the most popular cloud ETL tools on the Google Cloud Platform. BigQuery is serverless, so there is no infrastructure to set up or maintain.

ETL Tools 40

ETL Tools Big Data Google Cloud Project 40