Cloudera

JULY 15, 2019

It offers opportunities to learn and practice using both traditional RDBMSs (like MySQL and PostgreSQL) and large-scale distributed query engines (like Hive and Impala). After taking this course, you’ll understand how databases provide structure to data and how this has changed as the volume and variety of data have increased.

Education 59

Education Big Data Data Analysis SQL 59

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

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 Engineering 52

Data Engineering Data Engineer NoSQL Engineering 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 NoSQL Management 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 Datasets 40