Knowledge Hut

APRIL 3, 2023

We have included all the essential topics and concepts that a Backend Developer must master, from basic programming languages like Python and JavaScript, to more advanced topics such as API development, cloud computing, and security. Experience working with databases and APIs.

Programming Language 52

Programming Language Computer Science Portfolio PostgreSQL 52

Knowledge Hut

DECEMBER 26, 2023

Back-end components are the ones that work between the user interface, database, and the server of the website owner. Full-stack developers write codes using different computing languages to create programs that define and execute the functions. to decide which non-relational NoSQL database requests to perform to MongoDB.

MySQL 52

MySQL MongoDB Programming Language Computer Science 52

Knowledge Hut

NOVEMBER 28, 2023

Python Python is one of the most looked upon and popular programming languages, using which data engineers can create integrations, data pipelines, integrations, automation, and data cleansing and analysis. Cloud Data engineering is all about designing, programming, and testing software, which is required for modern database solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Silectis

JANUARY 3, 2021

Cassandra A database built by the Apache Foundation. Database A collection of structured data. Flat File A type of database that stores data in a plain text format. PostgreSQL A free, open-source relational database management system, also known as Postgres. Big Query Google’s cloud data warehouse.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

APRIL 25, 2024

From in-depth knowledge of programming languages to problem-solving skills, there are various qualities that a successful backend developer must possess. Backend Programming Languages Java, Python, PHP You need to know specific programming languages to have a career path that leads you to success.

Programming Language 98

Programming Language Java Algorithm MySQL 98

ProjectPro

JANUARY 19, 2022

Good skills in computer programming languages like R, Python, Java, C++, etc. Ability to demonstrate expertise in database management systems. Computer Programming A decent understanding and experience of a computer programming language is necessary for data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

FEBRUARY 16, 2023

Even Fortune 500 businesses (Facebook, Google, and Amazon) that have created their own high-performance database systems also typically use SQL to query data and conduct analytics. You will discover that more employers seek SQL than any machine learning skills, such as R or Python programming skills, on job portals like LinkedIn.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

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. These certifications have big data training courses where tutors help you gain all the knowledge required for the certification exam.

Big Data 52

Big Data Certification Hadoop Scala 52

Rockset

APRIL 29, 2019

However, as an operational database optimized for transaction processing, DynamoDB is not well-suited to delivering real-time analytics. DynamoDB has been one of the most popular NoSQL databases in the cloud since its introduction in 2012. It is central to many modern applications in ad tech, gaming, IoT, and financial services.

NoSQL 52

NoSQL PostgreSQL AWS SQL 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

Knowledge Hut

MARCH 12, 2024

SQL databases are one of the most widely used types of database systems available. SQL is a structured query language that these databases enable users to utilize for data management, retrieval, and storage. A number of SQL databases are available. Structured Query Language is what SQL stands for.

SQL 52

SQL Relational Database PostgreSQL MySQL 52

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

Edureka

FEBRUARY 9, 2023

Proficiency in programming languages: Knowledge of programming languages such as Python and SQL is essential for Azure Data Engineers. Knowledge of programming languages like Python and SQL Python is commonly used in the field of data engineering for automating data pipelines and performing data analysis.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 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

Workfall

MARCH 21, 2023

Reading Time: 8 minutes Databases are essential in web development for organizing data in various forms and shapes (both structured and unstructured). We can use database management systems to perform all database actions through a graphical user interface. This allows you to quickly and cheaply build secure and performant apps.

PostgreSQL 68

PostgreSQL NoSQL Database Unstructured Data 68

Knowledge Hut

JANUARY 24, 2024

Supports numerous data sources It connects to and fetches data from a variety of data sources using Tableau and supports a wide range of data sources, including local files, spreadsheets, relational and non-relational databases, data warehouses, big data, and on-cloud data.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

Edureka

MARCH 5, 2024

The languages, frameworks, databases, libraries, and other necessary components are regarded as a list of tools for full stack web development. They are competent in handling server-side logic, databases, and server infrastructure management in addition to user interface design and client-side functionality implementation.

MySQL 40

MySQL MongoDB NoSQL PostgreSQL 40

Knowledge Hut

JULY 7, 2023

SQL, or Structured Query Language, is one the most widely used programming languages, which has not changed in decades. It is simple to use and understand as compared to other programming languages. SQL is responsible for fetching the relevant data as per the requirement from the vast data store known as databases.

SQL 52

SQL Coding Project Hospitality 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

Rockset

JANUARY 5, 2022

Rockset is the real-time analytics database in the cloud for modern data teams. So I don’t fault you for resisting my message, which is that the SQL database that came of age in the 80s still has a critical role to play today in moving data-driven companies from batch to real-time analytics. This may come as a surprise. of developers.

Database 52

Database SQL NoSQL Raw Data 52

ProjectPro

FEBRUARY 8, 2023

This serverless data integration service can automatically and quickly discover structured or unstructured enterprise data when stored in data lakes in Amazon S3, data warehouses in Amazon Redshift, and other databases that are a component of the Amazon Relational Database Service. doesn't match the classifier.

AWS 98

AWS Scala Metadata Data Lake 98

Knowledge Hut

NOVEMBER 2, 2023

Here are some other advantages of incorporating AWS in your business: It allows the organizations usage of familiar operating systems, architectures, databases, and programming models. For data management Through its Amazon Relational Database service, AWS is able to provide managed database services.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 52

AltexSoft

SEPTEMBER 21, 2023

From those home-made beginnings as Compass, Elasticsearch has matured into one of the leading enterprise search engines, standing among the top 10 most popular database management systems globally according to the Stack Overflow 2023 Developer Survey. But like any technology, it has its share of pros and cons.

Engineering 52

Engineering NoSQL Programming Language Java 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

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. Coding abilities: R and Python, two popular scripting languages for scientific data fields, are essential skills for a Data Scientist. Non-Technical Competencies.

Retail 52

Retail Data Science Computer Science Entertainment 52

Rockset

SEPTEMBER 13, 2022

But handling all of your application needs is a tall task for any single database. For the database, optimizing for frequent, low-latency operations on individual records is different from optimizing for less-frequent aggregations or heavy filtering across many records. DynamoDB is a NoSQL database provided by AWS.

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

Knowledge Hut

JANUARY 11, 2024

You may pursue a bachelor's degree in the following subjects: Mathematics Statistics Engineering Economics Physics Computer science Step 2: Learn programming languages As a data scientist, you must know how to program in a variety of languages. This work is done by financial data scientists.

Finance 93

Finance Data Science Programming Language Machine Learning 93

Knowledge Hut

JANUARY 2, 2024

The world of technology thrives on the foundation of programming languages. These languages, often considered the lifeblood of tech innovations, are the essence behind every app, website, software, and tech solution we engage with every day. To learn more about it you can also check Best Programming languages.

Programming Language 52

Programming Language Programming Java NoSQL 52