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. They perform and supervise programming, debugging, and managing the server and database. to decide which non-relational NoSQL database requests to perform to MongoDB.

MySQL 52

MySQL MongoDB Programming Language Computer Science 52

Ascend.io

SEPTEMBER 14, 2023

It's specialized for database querying. Interpreter / Compiler Interpreted Executed by a database engine, interpreting and executing SQL statements. Declarative and straightforward for database tasks. Its ecosystem revolves around database management and querying. Primarily tailored for database tasks.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Knowledge Hut

APRIL 3, 2023

This includes the server, database, and application logic, as well as the APIs and other interfaces that connect the backend with the front end of the application. Backend developers work with programming languages such as Java, Python, Ruby, and PHP, as well as databases such as MySQL, MongoDB, and PostgreSQL.

Programming Language 52

Programming Language Computer Science Portfolio PostgreSQL 52

Knowledge Hut

DECEMBER 25, 2023

A person interested in becoming a Full-stack developer needs to have proficiency in both the front-end and back-end tools, just like I started as a Front-end developer and later on become a Full stack developer by mastering JavaScript backend technologies and databases.  In the backend, we have a lot of technologies and databases also.

Java 98

Java Database PostgreSQL Project 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. RDBMS uses SQL to organize data into structured tables, whereas NoSQL is more flexible and can handle a wider range of data types because of its dynamic schemas.

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 52

Rockset

OCTOBER 20, 2021

Until now, the majority of the world’s data transformations have been performed on top of data warehouses, query engines, and other databases which are optimized for storing lots of data and querying them for analytics occasionally. S3 or GCS), NoSQL databases (e.g. DynamoDB or MongoDB), and relational databases (e.g.

SQL 52

SQL PostgreSQL MongoDB NoSQL 52

Knowledge Hut

DECEMBER 21, 2023

In the database ecosystem, Postgres is one of the top open-source databases, and one of the most widely used PSQL tools for managing PostgreSQL is pgAdmin. To run PostgreSQL instances on the Azure cloud, Azure offers Azure Database for PostgreSQL. What are PostgreSQL Tools? What are PostgreSQL Tools?

PostgreSQL 52

PostgreSQL MySQL MongoDB SQL 52

Knowledge Hut

SEPTEMBER 6, 2023

Back when I studied Computer Science in the early 2000s, databases like MS Access and Oracle ruled. The rise of big data and NoSQL changed the game. This change birthed various specialized databases like columns for numbers, key-values for simple info, and graphs for relationships. What Is a Database? Let’s begin!

Database 52

Database Certification MongoDB MySQL 52

Knowledge Hut

DECEMBER 5, 2023

Here are some essential hard skills for System Engineers: Proficiency in various operating systems, including Microsoft Windows Server, Linux distributions (e.g., CentOS, Ubuntu, Red Hat), Unix-based systems (e.g., SAN, NAS), Network equipment (e.g.,

Systems 52

Systems Engineering Recruitment Electronics 52

ProjectPro

JANUARY 19, 2022

Ability to demonstrate expertise in database management systems. You may skip chapters 11 and 12 as they are less useful for a database engineer. Database Management Systems Softwares, called database management systems that assist in handling large datasets, are a part of data engineers’ everyday lives.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Rockset

SEPTEMBER 3, 2020

MongoDB’s Advantages & Disadvantages MongoDB has comprehensive aggregation capabilities. You can run many analytic queries on MongoDB without exporting your data to a third-party tool. In this situation, the MongoDB cluster doesn’t have to keep up with the read requests. What Is PostgreSQL?

PostgreSQL 40

PostgreSQL MongoDB SQL Database 40

Knowledge Hut

APRIL 25, 2024

Here are some things that you should learn: Recursion Bubble sort Selection sort Binary Search Insertion Sort Databases and Cache To build a high-performance system, programmers need to rely on the cache. In addition, it is required in a database to keep track of the users' responses. to manage DBMS.

Programming Language 98

Programming Language Java Algorithm MySQL 98

Databand.ai

DECEMBER 13, 2022

Deepanshu’s skills include SQL, data engineering, Apache Spark, ETL, pipelining, Python, and NoSQL, and he has worked on all three major cloud platforms (Google Cloud Platform, Azure, and AWS). Beyond his work at Google, Deepanshu also mentors others on career and interview advice at topmate.io/deepanshu.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Knowledge Hut

SEPTEMBER 6, 2023

Database Management : knowing how to work with databases - both relational(like Postgres) and non-relational - is important for efficient storing and retrieval of data. 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. There are many NoSQL databases available in the market.

MongoDB 52

MongoDB NoSQL Non-relational Database Relational Database 52

Rockset

JUNE 16, 2020

MongoDB.live took place last week, and Rockset had the opportunity to participate alongside members of the MongoDB community and share about our work to make MongoDB data accessible via real-time external indexing. We would be responsible for building and maintaining pipelines from these sources to MongoDB.

MongoDB 52

MongoDB Data Lake PostgreSQL Kafka 52

Knowledge Hut

DECEMBER 26, 2023

Let’s say you are working Node.js, and you need to connect to MongoDB. To be able to work with MongoDB in Node.js you need to have MongoDB driver for Node.js. For example, API services, databases, web servers etc. ii) Databases MySQL Most popular open-source relational database. Oracle A DBMS by Oracle.

MongoDB 98

MongoDB Programming Language Java Relational Database 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

Rockset

MARCH 26, 2023

Breaking Bad… Data Silos We haven’t quite figured out how to avoid using relational databases. Folks have definitely tried, and while Apache Kafka® has become the standard for event-driven architectures, it still struggles to replace your everyday PostgreSQL database instance in the modern application stack.

Cloud 52

Cloud PostgreSQL Kafka Database 52

Rockset

JANUARY 28, 2022

Seesaw was able to scale up its main database, an Amazon DynamoDB cloud-based service optimized for large datasets. Seesaw’s database holds multiple billions of records. However, Seesaw’s DynamoDB database stored the data in its own NoSQL format that made it easy to build applications, just not analytical ones.

NoSQL 52

NoSQL PostgreSQL MongoDB ETL Tools 52

Edureka

JANUARY 12, 2024

Back-end: Handles server-side programming, database management , and server configuration. Requires knowledge of server-side languages, databases, and server management tools. They design user interfaces, ensuring a seamless and visually appealing experience for users, and also handle server-side logic, including database management.

NoSQL 52

NoSQL Java MongoDB Programming 52

AltexSoft

JUNE 26, 2023

It includes manual data entries, online surveys, extracting information from documents and databases, capturing signals from sensors, and more. It dwells in special repositories known as relational or SQL databases since experts use structured query language (SQL) to manipulate tables and retrieve records.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

U-Next

AUGUST 23, 2022

Most web applications have standard features such as authorization, database connectivity, etc. Django allows you to develop complicated, database-driven web applications such as: . The Model explains the data structure and takes care of querying the database. The SQLite database is the default database engine.

MySQL 40

MySQL Python PostgreSQL Coding 40

U-Next

AUGUST 11, 2022

Querying and database management. To be able to do this, you need to learn how to work with databases and eventually gain mastery. . . With large quantities of data available, it is vital to know how to organise and manage these using a database. Knowledge of statistics and probability.

Data Science 40

Data Science Relational Database PostgreSQL MongoDB 40

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). E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40