Knowledge Hut

SEPTEMBER 6, 2023

Programming Languages : Good command on programming languages like Python, Java, or Scala is important as it enables you to handle data and derive insights from it. Develop working knowledge of NoSQL & Big Data using MongoDB, Cassandra, Cloudant, Hadoop, Apache Spark, Spark SQL, Spark ML, and Spark Streaming 18.

Big Data 52

Big Data Certification Hadoop Scala 52

Rockset

JUNE 7, 2022

Editor Databases are a key architectural component of many applications and services. Traditionally, organizations have chosen relational databases like SQL Server, Oracle , MySQL and Postgres. Relational databases use tables and structured languages to store data.

MongoDB 52

MongoDB NoSQL Non-relational Database Relational Database 52

Knowledge Hut

DECEMBER 26, 2023

For examples: Offline Integrated Development Environment / Code Editors Microsoft Visual Studio Code A very lightweight editor by Microsoft which supports many programming languages. It supports several programming and markup languages. Typescript A programming language based on JavaScript used in Angular development.

MongoDB 98

MongoDB Programming Language Java Relational Database 98

Knowledge Hut

MARCH 15, 2024

Making decisions in the database space requires deciding between RDBMS (Relational Database Management System) and NoSQL, each of which has unique features. Come with me on this adventure to learn the main differences and parallels between two well-known database solutions, i.e., RDBMS vs NoSQL. What is RDBMS?

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 52

Knowledge Hut

DECEMBER 19, 2023

Java, as the language of digital technology, is one of the most popular and robust of all software programming languages. It is ideal for cross-platform applications because it is a compiled language with object code that can work across more than one machine or processor. All programming is done using coding languages.

Java 98

Java Programming Language Architecture Database 98

Edureka

MARCH 5, 2024

Full stack developers most frequently utilize tech stacks that combine front-end, back-end, and database technologies. Among the well-liked tech stacks are: Mean Stack: MongoDB : A NoSQL database that is adaptable and scalable for managing massive volumes of data because it stores data in a format resembling JSON. Database (e.g.,

MySQL 40

MySQL MongoDB NoSQL PostgreSQL 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.

Retail 52

Retail Data Science Computer Science Entertainment 52

U-Next

AUGUST 11, 2022

Programming and logical reasoning. You should have a thorough knowledge of at least one programming language. Popular open source languages like Python and R for Data Science are easily accessible and involve a shorter learning curve. These powerful languages can be used for analysis, data manipulation and more. .

Data Science 40

Data Science Relational Database PostgreSQL MongoDB 40

Rockset

SEPTEMBER 13, 2022

It has direct connectors for a number of primary data stores, including DynamoDB, MongoDB, Kafka, and many relational databases. As Rockset ingests data from your primary database, it then indexes your data in a Converged Index , which borrows concepts from: a row index, an inverted index, and a columnar index.

SQL 52

SQL Database Relational Database AWS 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