Knowledge Hut

JANUARY 9, 2024

Additionally, students learn about service and deployment models, SLAs, economic models, cloud security, enabling technologies, popular cloud stacks, and their use cases. Project 3 – Understanding Cloud Storage In this project, students delve into the capabilities and limitations of cloud storage technologies.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Cloud Storage 52

ProjectPro

JUNE 6, 2025

Data sources may include relational databases or data from SaaS (software-as-a-service) tools like Salesforce and HubSpot. You must first create a connection to the MySQL database to use Talend to extract data. In most cases, data is synchronized in real-time at scheduled intervals.

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

Knowledge Hut

SEPTEMBER 29, 2023

AWS Storage AWS S3, the company's first openly available cloud storage solution, was launched by Amazon in 2006. Amazon S3 is the most well-known and widely used Amazon storage solution. S3 storage classes were developed with the express purpose of providing the cheapest storage for different usage patterns.

AWS 52

AWS Amazon Web Services Cloud Storage Relational Database 52

DareData

JANUARY 30, 2023

Examples of relational databases include MySQL or Microsoft SQL Server. NoSQL databases: NoSQL databases are often used for applications that require high scalability and performance, such as real-time web applications. Stanford's Relational Databases and SQL.

Data Engineer 52

Data Engineer Data Engineering Engineering NoSQL 52

Knowledge Hut

JULY 24, 2023

NoSQL Databases NoSQL databases are non-relational databases (that do not store data in rows or columns) more effective than conventional relational databases (databases that store information in a tabular format) in handling unstructured and semi-structured data.

Database 52

Database Management NoSQL Relational Database 52

Edureka

OCTOBER 8, 2024

Database Management: Storing, retrieving data, and managing it effectively are vital. Full Stack Developers are adept at working with databases, whether they are SQL-based like MySQL or No SQL like MongoDB. A Full Stack Developer will deal with: SQL Databases: These are more the traditional relational databases.

MongoDB 40

MongoDB NoSQL MySQL PostgreSQL 40

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

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., Hadoop, Apache Spark).

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

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

ProjectPro

JULY 30, 2021

What are some popular use cases for cloud computing? Cloud storage - Storage over the internet through a web interface turned out to be a boon. With the advent of cloud storage, customers could only pay for the storage they used. BigQuery, Google Cloud Storage) to make more complex systems.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Knowledge Hut

NOVEMBER 2, 2023

Simple Storage Service Amazon AWS provides S3 or Simple Storage Service that can be used for sharing large files or small files to large audiences online. AWS provides cloud storage for your use that offers scalability for file sharing. It also offers NoSQL databases with the help of Amazon DynamoDB.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 52

ProjectPro

FEBRUARY 16, 2023

Data engineers are responsible for these data integration and ELT tasks, where the initial step requires extracting data from different types of databases/files, such as RDBMS, flat files, etc. SQL in Big Data SQL is not just limited to data warehousing and traditional relational database management systems (RDBMS).

Data Engineer 52

Data Engineer Data Engineering SQL Engineering 52

ProjectPro

JUNE 6, 2025

S3: 5GB of standard storage. RDS: 750 hours of usage with Amazon Aurora/MySQL. Amazon EC2 (Elastic Compute Cloud) provides virtual servers for scalable cloud computing in the AWS environment. What database engines does AWS RDS support? micro instance). Lambda: 1 million free requests/month. What is Amazon VPC?

AWS 40

AWS Amazon Web Services Cloud Computing Java 40

ProjectPro

DECEMBER 7, 2021

Data sources may include relational databases or data from SaaS (software-as-a-service) tools like Salesforce and HubSpot. You must first create a connection to the MySQL database to use Talend to extract data. In most cases, data is synchronized in real-time at scheduled intervals.

Data Pipeline 52

Data Pipeline Architecture Kafka Data Lake 52

ProjectPro

JUNE 6, 2025

Cloud SQL Cloud SQL is a completely managed relational database service for SQL Server, MySQL, and PostgreSQL. This allows you to neglect database administration duties and spend more time handling your data. Another use case for Cloud SQL as an ETL tool is for real-time data processing.

ETL Tools 40

ETL Tools Big Data Google Cloud Project 40