DareData

JANUARY 30, 2023

In this post, we'll discuss some key data engineering concepts that data scientists should be familiar with, in order to be more effective in their roles. These concepts include concepts like data pipelines, data storage and retrieval, data orchestrators or infrastructure-as-code.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Edureka

MARCH 5, 2024

In other words, full stack developers are proficient in both the technologies that power what users see and interact within their web browsers, as well as the technologies that handle data storage, user authentication, and server-side processing behind the scenes. The MERN stack comprises MongoDB, Express.js, React.js, and Node.js.

MongoDB 40

MongoDB PostgreSQL MySQL Java 40

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):

Database 52

Database NoSQL MongoDB Telecommunication 52

Knowledge Hut

FEBRUARY 2, 2024

Skills Required HTML, CSS, JavaScript or Python for Backend programming, Databases such as SQL, MongoDB, Git version control, JavaScript frameworks, etc. Cloud Computing Course As more and more businesses from various fields are starting to rely on digital data storage and database management, there is an increased need for storage space.

Programming Language 98

Programming Language Amazon Web Services Java Cloud Computing 98

Knowledge Hut

MARCH 15, 2024

Normalization: Breaks down data to minimize redundancy and optimize storage. NoSQL: Flexible Storage: Adapts to various data models, allowing diverse data storage. Denormalization: Emphasizes performance by storing redundant data. Document Storage: Stores data in flexible, JSON-like documents.

NoSQL 52

NoSQL Database-centric Relational Database MongoDB 52

Knowledge Hut

MARCH 14, 2024

Key Technologies Programming languages (Java, Python, C++), databases (MySQL, MongoDB), web development tools, and more. Used in database management for efficient data storage and retrieval. Database Technologies: MySQL, Oracle, MongoDB, etc. Networking Technologies: TCP/IP, DNS, routers, etc.

Computer Science 52

Computer Science Programming Language Electronics MongoDB 52

ProjectPro

MARCH 19, 2015

Relational Databases – The fundamental concept behind databases, namely MySQL, Oracle Express Edition, and MS-SQL that uses SQL, is that they are all Relational Database Management Systems that make use of relations (generally referred to as tables) for storing data.

NoSQL 49

NoSQL Big Data SQL Database-centric 49

Edureka

JULY 16, 2024

They should also perform well in database management by designing SQL or NoSQL awareness to guarantee correct data storage and access. MySQL, PostgreSQL) or NoSQL databases (e.g., MongoDB, Redis) for data modeling, querying, and optimization. js and knowledgeable about frameworks like Django, Laravel, and Express.

NoSQL 40

NoSQL MongoDB PostgreSQL Programming Language 40

Edureka

MARCH 5, 2024

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. MERN Stack: MongoDB: MongoDB is used for data storage, just like in the MEAN stack. Express.js: Express.js

MySQL 40

MySQL MongoDB NoSQL Programming Language 40

Knowledge Hut

APRIL 24, 2024

With its customizable dashboard, healthcare professionals can easily view patient information and appointments, as well as track patient data and outcomes using its analytics and reporting features. cvtColor(image, cv2.COLOR_BGR2GRAY) COLOR_BGR2GRAY) _, thresh = cv2.threshold(gray_image, threshold(gray_image, 127, 255, cv2.THRESH_BINARY)

Software Engineer 52

Software Engineer Software Engineering Coding Project 52

Monte Carlo

NOVEMBER 20, 2023

But as businesses pivot and technologies advance, data migrations are—regrettably—unavoidable. Much like a chess grandmaster contemplating his next play, data migrations are a strategic move. A good data storage migration ensures data integrity, platform compatibility, and future relevance.

MongoDB 52

MongoDB ETL Tools Database Data 52

AltexSoft

MAY 12, 2023

A fixed schema means the structure and organization of the data are predetermined and consistent. It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. Data durability and availability.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. In other words, they develop, maintain, and test Big Data solutions. To become a Big Data Engineer, knowledge of Algorithms and Distributed Computing is also desirable.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

Knowledge Hut

JUNE 30, 2023

MySQL: MySQL is a popular open-source DBMS solution known for its easy syntax, reliability, and compatibility across many platforms and projects. MySQL is also popular for its fast interface and is supported on multiple platforms. Some of the popular examples include Oracle, MySQL, and Microsoft SQL Server.

MySQL 52

MySQL Medical Relational Database Database 52

Ascend.io

SEPTEMBER 14, 2023

Use Case: Transforming monthly sales data to weekly averages import dask.dataframe as dd data = dd.read_csv('large_dataset.csv') mean_values = data.groupby('category').mean().compute() compute() Data Storage Python extends its mastery to data storage, boasting smooth integrations with both SQL and NoSQL databases.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Knowledge Hut

APRIL 3, 2023

This includes handling data storage, user authentication, and server configuration. Backend developers work with programming languages such as Java, Python, Ruby, and PHP, as well as databases such as MySQL, MongoDB, and PostgreSQL. What is Backend Development? for building scalable and efficient web applications.

Programming Language 52

Programming Language Computer Science Portfolio Java 52

Knowledge Hut

JUNE 23, 2023

You should have the expertise to collect data, conduct research, create models, and identify patterns. You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. You must develop predictive models to help industries and businesses make data-driven decisions.

Data Engineering 52

Data Engineering Data Engineer Engineering NoSQL 52

Rockset

MAY 10, 2022

However, DynamoDB, like many other NoSQL databases, is great for scalable data storage and single row retrieval but leaves a lot to be desired when it comes to analytics. With SQL databases, analysts can quickly join, group and search across historical data sets. These use cases would require queries with table joins.

NoSQL 52

NoSQL AWS MongoDB Database 52

Knowledge Hut

MARCH 27, 2024

Real-time analytics platforms in big data apply logic and math to gain faster insights into data, resulting in a more streamlined and informed decision-making process. Some open-source technology for big data analytics are : Hadoop. Easily scales up to a large amount of data when it is distributed in small chunks.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

DECEMBER 19, 2023

Web Storage, on the other hand, is DOM (document object model storage) which is a standard JavaScript API provided by web browsers. A web storage feature means having web applications that allow data storage within the browser on the client side.

Java 98

Java Programming Language Database Programming 98

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. Data Variety Hadoop stores structured, semi-structured and unstructured data.

Big Data 52

Big Data Hadoop Relational Database AWS 52

Knowledge Hut

DECEMBER 26, 2023

In other words, a Full Stack Developer is comfortable working with HTML, CSS, JavaScript, and PHP, as well as databases like MySQL. Additionally, they should have extensive knowledge of server-side technologies, such as Apache and NGINX, and database systems, such as MySQL and MongoDB.

Food 52

Food Transportation Programming Language Manufacturing 52

AltexSoft

JUNE 26, 2023

Find sources of relevant data. Choose data collection methods and tools. Decide on a sufficient data amount. Set up data storage technology. Below, we’ll elaborate on each step one by one and share our experience of data collection. They can be accumulated in NoSQL databases like MongoDB or Cassandra.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

JULY 30, 2021

There are many cloud computing job roles like Cloud Consultant, Cloud reliability engineer, cloud security engineer, cloud infrastructure engineer, cloud architect, data science engineer that one can make a career transition to. PaaS packages the platform for development and testing along with data, storage, and computing capability.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

JANUARY 19, 2022

Supports big data technology well. Supports high availability for data storage. Supports uniform consistency of data throughout different locations. The more you use the product, the cheaper the subscription plans. Support large-scale implementation of machine learning algorithms. Similar pricing as AWS.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

NOVEMBER 14, 2015

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Rockset

SEPTEMBER 13, 2022

Rather than individual, transactional updates from your application clients, Rockset is designed for continuous, streaming ingestion from your primary data store. It has direct connectors for a number of primary data stores, including DynamoDB, MongoDB, Kafka, and many relational databases.

SQL 52

SQL Database Relational Database NoSQL 52

ProjectPro

JULY 27, 2021

Below are some big data interview questions for data engineers based on the fundamental concepts of big data, such as data modeling, data analysis , data migration, data processing architecture, data storage, big data analytics, etc. Hadoop is highly scalable.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

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. ii) Databases MySQL Most popular open-source relational database. MongoDB Most popular NoSQL database. Go A general-purpose programming language by Google.

MongoDB 98

MongoDB Programming Language Java Python 98

Edureka

JANUARY 2, 2025

It also necessitates a full collection of tools to manage all parts of the online application, from the user interface to server-side logic and data storage (database). Database Management System Relational Databases: MySQL: An open-source relational database system widely used for its reliability and efficiency.

Java 52

Java MongoDB NoSQL Relational Database 52