Cloud Academy

JANUARY 27, 2022

Data engineers are responsible for transforming data into an easily accessible format, identifying trends in data sets, and creating algorithms to make the raw data more useful for business units. The architecture can include relational or non-relational data sources, as well as proprietary systems and processing tools.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

APRIL 12, 2023

MongoDB is a NoSQL database that stores data in JSON-like documents. The data stored in MongoDB can be accessed and manipulated using CRUD (Create, Read, Update, Delete) operations. for server-side programming, which provides high performance and scalability. using the MongoDB driver. High Performance: MERN stack uses Node.js

MongoDB 59

MongoDB NoSQL Architecture Non-relational Database 59

Silectis

JANUARY 3, 2021

MapReduce MapReduce is a component of the Hadoop framework that’s used to access big data stored within the Hadoop File System Metadata A set of data that describes and gives information about other data. MySQL An open-source relational databse management system with a client-server model.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

NOVEMBER 15, 2021

.” From month-long open-source contribution programs for students to recruiters preferring candidates based on their contribution to open-source projects or tech-giants deploying open-source software in their organization, open-source projects have successfully set their mark in the industry.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

JANUARY 31, 2023

Every map/reduce action carried out by the Hadoop framework on the data nodes has access to cached files. As a result, the data files in the task assigned can access the cache file as a local file. Thus, accessing files from any data node in a MapReduce operation becomes easy. Here, data is accessible even if the machine fails.

Big Data 52

Big Data Hadoop Relational Database AWS 52

Knowledge Hut

DECEMBER 28, 2023

The answer lies within databases. Imagine having all your business data - from customer information to product inventory - stored in one secure location, easily accessible, ready to be queried, updated, and analysed. That is precisely what a database offers— a secure location. "Once But where does it all reside?

Database 52

Database MySQL SQL Relational Database 52

Knowledge Hut

JULY 26, 2023

Data Access Layer: The data access layer function is to create a connection between the application and the database. Security and access controls: This includes user authentication, access controls, encryption of data, and auditing functionality to protect data privacy and compliance with security requirements.

Database 52

Database NoSQL Telecommunication MongoDB 52

ProjectPro

JANUARY 19, 2022

Data is an organization's most valuable asset, so ensuring it can be accessed quickly and securely should be a primary concern. Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

Knowledge Hut

SEPTEMBER 29, 2023

It supports a variety of operating systems, programming languages, and frameworks. If a company wants to store customer data, this certification provides the foundational knowledge on choosing between relational or non-relational databases in Azure. Great for those keen on exploring data roles in the cloud.

Certification 52

Certification Cloud Computing Cloud Non-relational Database 52

ProjectPro

JULY 27, 2021

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

U-Next

AUGUST 3, 2022

Programming in several languages: Data Scientists frequently employ a variety of programming languages, including Python, R, C/C, SAS, Scala, and SQL. To create a solution that satisfies the requirements, they must be proficient with coding, databases, and the software development process.

Data Science 52

Data Science Retail Computer Science Data Mining 52