ProjectPro

JUNE 6, 2025

SQL is considered the industry-standard programming language for extracting data, analyzing data, performing complex analysis, and validating hypotheses. What is the difference between SQL and NoSQL? NoSQL supports unstructured or semi-structured data (e.g., Distinguish between MongoDB and MySQL.

SQL

ProjectPro

JUNE 6, 2025

They are skilled in programming languages like Python , SQL , or Scala and work with tools like Apache Spark , Talend, Informatica, or Apache Airflow. This includes understanding database management, with a focus on SQL (Structured Query Language) and NoSQL databases.

Data Engineer

ProjectPro

JUNE 6, 2025

They include relational databases like Amazon RDS for MySQL, PostgreSQL, and Oracle and NoSQL databases like Amazon DynamoDB. Database Variety: AWS provides multiple database options such as Aurora (relational), DynamoDB (NoSQL), and ElastiCache (in-memory), letting startups choose the best-fit tech for their needs.

AWS

ProjectPro

JUNE 6, 2025

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. NoSQL, for example, may not be appropriate for message queues. It tests several platforms such as Hadoop, Teradata, Oracle, Microsoft, IBM, MongoDB, Cloudera, Amazon, and other Hadoop suppliers. What is a UDF?

Big Data

ProjectPro

JUNE 6, 2025

Building and maintaining data pipelines Data Engineer - Key Skills Knowledge of at least one programming language, such as Python Understanding of data modeling for both big data and data warehousing Experience with Big Data tools (Hadoop Stack such as HDFS, M/R, Hive, Pig, etc.)

Data Science

ProjectPro

JUNE 6, 2025

E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB Check Out ProjectPro's Complete Data Engineering Traning with Enterprise-Grade Data Engineering Projects ! A sound command over software and programming languages is important for a data scientist and a data engineer. E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server.

Data Engineer

ProjectPro

JUNE 6, 2025

How small file problems in streaming can be resolved using a NoSQL database. Tools/Tech stack used: The tools and technologies used for such weblog trend analysis using Apache Hadoop are NoSql, MapReduce, and Hive. Learn several ways of overcoming the challenge in this project. Using Flume to handle small files in streaming.

Hadoop

ProjectPro

JUNE 6, 2025

Social Media Trends: Consumer sentiment analysis (Twitter , Reddit APIs). Reputation & Compliance: Government databases like OFAC Sanctions List, FDA Recalls, and EU Blacklists. Sentiment Analysis: Public reviews and social media insights using Twitter API, Glassdoor, and Trustpilot.

Data Science

Knowledge Hut

DECEMBER 26, 2023

But before you opt for any certification, you need to understand which programming language will take you where; and the potential benefits of pursuing a certification course of that particular programming language. These two programming languages have been around for many decades.

Certification

Edureka

AUGUST 26, 2024

MEAN MEAN stands for MongoDB, Express.js, Angular, and Node.js. MongoDB is a NoSQL database where data are stored in a flexible way that is similar to JSON format. MERN MERN stands for MongoDB, Express.js, React, and Node.js. Javascript) is the language developers have used the most recently. as a framework.

MongoDB

ProjectPro

MAY 13, 2015

MongoDB is one of the hottest IT tech skills in demand with big data and cloud proliferating the market. MongoDB certification is one of the hottest IT certifications poised for the biggest growth and utmost financial gains in 2015. What follows is an elaborate explanation on what makes MongoDB the hottest IT certification in demand.

NoSQL

Rockset

JUNE 7, 2022

On the other hand, non-relational databases (commonly referred to as NoSQL databases) are flexible databases for big data and real-time web applications. NoSQL databases don't always offer the same data integrity guarantees as a relational database, but they're much easier to scale out across multiple servers.

MongoDB

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. What is NoSQL?

NoSQL

Knowledge Hut

NOVEMBER 3, 2023

MongoDB is a NoSQL database that’s been making rounds in the data science community. MongoDB’s unique architecture and features have secured it a place uniquely in data scientists’ toolboxes globally. Let us see where MongoDB for Data Science can help you. What is MongoDB for Data Science?

MongoDB

U-Next

AUGUST 25, 2022

An open-spurce NoSQL database management program, MongoDB architecture, is used as an alternative to traditional RDMS. MongoDB is built to fulfil the needs of modern apps, with a technical base that allows you through: The document data model demonstrates the most effective approach to work with data. What is MongoDB?

MongoDB

Rockset

JULY 22, 2022

Last week, Rockset hosted a conversation with a few seasoned data architects and data practitioners steeped in NoSQL databases to talk about the current state of NoSQL in 2022 and how data teams should think about it. NoSQL is great for well understood access patterns. Rick Houlihan Where does NoSQL fit in the modern data stack?

NoSQL

Knowledge Hut

JANUARY 23, 2024

You must feel at ease working with many databases, frameworks, and programming languages. Keeping up with the latest advancements in programming languages and server apps. Object-oriented programming is necessary to add actions to HTML. You also need to be able to learn new technology quickly.

MongoDB

Rockset

JULY 14, 2020

Using Rockset to index data from their transactional MongoDB system , StoryFire powers complex aggregation and join queries for their social and leaderboard features. By moving read-intensive services off MongoDB to Rockset, StoryFire is able to solve two hard challenges: performance and scale.

MongoDB

Edureka

AUGUST 18, 2024

Server-side Programming Language To become a back-end developer, the first skill to master is a server-side programming language such as Node.js (javascript ) Python Ruby Java PHP C# Mastering any one of these programming languages is enough to start your journey with full-stack development (Node.js).

Programming Language

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

Scott Logic

FEBRUARY 26, 2023

The easiest would be to add an Java in-memory database like H2 if you are using a SQL database or add an embedded MongoDB database, like the one provided by Flapdoodle if you are using a NoSQL storage. Ok, let’s assume you have decided to test your repository layer. Wait what?? save ( project1 ); Project savedProject2 = repository.

MongoDB

Knowledge Hut

APRIL 12, 2023

It is an acronym that stands for MongoDB, Express.js, Angular, and Node.js "MERN" is a term that refers to a combination of technologies used in this stack, which includes MongoDB, Express.js, React.js, and Node.js. . "MERN" MongoDB is used to store the data for the application. using the MongoDB driver.

MongoDB

Knowledge Hut

OCTOBER 27, 2023

Undertaking real-life projects equips you with a deep understanding of programming languages, tools, and frameworks, preparing you to face intricate challenges and devise efficient solutions. cvtColor(image, cv2.COLOR_BGR2GRAY) COLOR_BGR2GRAY) _, thresh = cv2.threshold(gray_image, threshold(gray_image, 127, 255, cv2.THRESH_BINARY)

Software Engineering

Knowledge Hut

DECEMBER 26, 2023

Data Science also requires applying Machine Learning algorithms, which is why some knowledge of programming languages like Python, SQL, R, Java, or C/C++ is also required. They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase.

Data Science

AltexSoft

MAY 14, 2021

NoSQL databases. NoSQL databases, also known as non-relational or non-tabular databases, use a range of data models for data to be accessed and managed. The “NoSQL” part here stands for “Non-SQL” and “Not Only SQL”. Cassandra is an open-source NoSQL database developed by Apache.

Big Data

Knowledge Hut

NOVEMBER 7, 2023

Back-end developers should be conversant with the programming languages that will be used to build server-side apps. Programming Every software developer needs to be able to write code, but cloud architects and administrators may also need to do so occasionally.

Cloud Computing

Knowledge Hut

JULY 26, 2023

MongoDB): MongoDB is a prominent database software that comes under the category of "document store" databases. Document store databases, such as MongoDB, are intended to store and manage data that is unstructured or semi-structured, such as documents. Database Software- Document Store (e.g.-MongoDB): Time Series Database (e.g.-

Database

Rockset

MAY 17, 2022

Limitations of NoSQL SQL supports complex queries because it is a very expressive, mature language. That changed when NoSQL databases such as key-value and document stores came on the scene. While taking the NoSQL road is possible, it’s cumbersome and slow. As a result, the use cases remained firmly in batch mode.

SQL

Knowledge Hut

MAY 31, 2023

We'll discuss some of the top database project ideas on which you can hone your skills and gain valuable experience in database management systems, programming languages, and web development frameworks. MongoDB offers a great way to store all types of products’ attributes—structured, semi-structured, and unstructured—all in one place.

Database

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. This includes handling data storage, user authentication, and server configuration.

Programming Language

Knowledge Hut

DECEMBER 26, 2023

Junior/Entry-Level Jobs For entry-level full-stack web developer jobs in the US, candidates must know programming languages used in front-end and back-end development. In order to get dynamic material from the MySQL database and return it to the user, the PHP programming language collaborates with Apache.

MySQL

Knowledge Hut

JANUARY 18, 2024

8 lakhs) Programming and Other Languages in Data Science There are a lot of programming languages that can be used for data science. It is important to choose a language that is easy to learn and use, but it is also important that the language you use will be able to give you the tools needed for your work.

Data Science

Knowledge Hut

APRIL 24, 2024

Later most of the programming languages adopted that. New languages like Python, Node.js, Java, C#, PHP, GO, and many more, support GraphQL. A GraphQL schema is written in Schema Definition Language (SDL) and refers to the exact mutations and queries that a client can execute against your data graph. In the index.js

MongoDB

Knowledge Hut

JUNE 23, 2023

Coding helps you link your database and work with all programming languages. Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala. Get certified in relational and non-relational database designs, which will help you with proficiency in SQL and NoSQL domains.

Data Engineer

Knowledge Hut

MAY 23, 2024

This closed-source software caters to a wide range of data science functionalities through its graphical interface, along with its SAS programming language, and via Base SAS. Programming Language-driven Tools 9. Python: Python is, by far, the most widely used data science programming language.

Data Science

Knowledge Hut

DECEMBER 21, 2023

NoSQL This database management system has been designed in a way that it can store and handle huge amounts of semi-structured or unstructured data. NoSQL databases can handle node failures. Pros: NoSQL can be used for real-time applications due to its ability to handle lots of reads and writes. It is also horizontally scalable.

Hadoop

Edureka

OCTOBER 8, 2024

Full Stack Developers are adept at working with databases, whether they are SQL-based like MySQL or No SQL like MongoDB. NoSQL Databases: Some developers prefer handling data in a more flexible manner without strict schema enforcement, using NoSQL databases like MongoDB. Popular choices are MySQL or PostgreSQL.

MongoDB