ProjectPro

JUNE 6, 2025

Such an immense volume of data requires more than just storage; it demands complex data processing workloads to organize, manage, and analyze it effectively. These services provide scalable, reliable, and managed database solutions to help organizations store, process, and analyze their data efficiently. TB of daily game data.

AWS 40

AWS Database Amazon Web Services MySQL 40

Edureka

AUGUST 18, 2024

Some of the back-end web frameworks are Express.js (Node.js) Django (Python) Ruby on Rails (Ruby) Laravel (PHP) Spring Boot (Java) Learning one of the back-end web frameworks is essential for the back-end development process because it makes the development process faster, more secure, and more well-organized.

Programming Language 98

Programming Language Java Non-relational Database Database 98

ProjectPro

JUNE 6, 2025

But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis. Differentiate between relational and non-relational database management systems. Non-relational databases support dynamic schema for unstructured data.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

Knowledge Hut

APRIL 25, 2024

Frameworks make the process easy. The candidate must also demonstrate a fundamental understanding of how Python and Django function in caching, keeping an eye out for slow queries and developing strategies to speed up processes. Therefore, having a solid grasp of the database is essential. to manage DBMS. You may ask.

Programming Language 98

Programming Language Java MySQL Algorithm 98

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 59

MongoDB NoSQL Architecture Non-relational Database 59

ProjectPro

JUNE 6, 2025

Big Data Tools extract and process data from multiple data sources. For implementing ETL, managing relational and non-relational databases, and creating data warehouses, big data professionals rely on a broad range of programming and data management tools. Both stream and batch real-time processing are supported.

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 40

Cloud Academy

JANUARY 27, 2022

Data engineering is the process of designing and implementing solutions to collect, store, and analyze large amounts of data. This process is generally called “Extract, Transfer, Load” or ETL. The architecture can include relational or non-relational data sources, as well as proprietary systems and processing tools.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Knowledge Hut

JULY 26, 2023

Database Software- Document Store (e.g.-MongoDB): 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 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

JUNE 23, 2023

The data engineer learning path includes having set-skills and awareness of the process and channel data and having the zest to work as a frontline technician who can retrieve data from various data sources. You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software.

Data Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineers Jobs – The Demand According to Gartner, by 2023, 80-90 % of all databases will be deployed or transferred to a cloud platform, with only 5% ever evaluated for repatriation to on-premises. As long as there is data to process, data engineers will be in high demand.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Mining 52

AltexSoft

JUNE 26, 2023

Data collection as the first step in the decision-making process, driven by machine learning. Note that in many cases, the process of gathering information never ends since you always need fresh data to re-train and improve existing ML models, gain consumer insights, analyze current market trends, and so on. No wonder only 0.5

Data Collection 52

Data Collection Machine Learning Unstructured Data Electronics 52

ProjectPro

JUNE 6, 2025

Azure Data Engineers Jobs - The Demand "By 2022, 75% of all databases will be deployed or transferred to a cloud platform, with only 5% ever evaluated for repatriation to on-premises," according to Gartner. Data engineers will be in high demand as long as there is data to process. Who should take the certification exam?

Data Engineer 49

Data Engineer Data Engineering Engineering Certification 49

Knowledge Hut

APRIL 18, 2023

A DevOps engineer is a professional who works in software development and IT operations with the goal of streamlining and automating the entire software delivery process. Education Requirements Bachelor's degree in computer science, software engineering, or a related field. Timely cloud deployment of web applications.

Computer Science 59

Computer Science Java Programming Language Education 59

ProjectPro

JANUARY 31, 2023

This process involves data collection from multiple sources, such as social networking sites, corporate software, and log files. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Data Processing: This is the final step in deploying a big data model. How to avoid the same.

Big Data 52

Big Data Hadoop Relational Database NoSQL 52

ProjectPro

JANUARY 19, 2022

Azure Data Engineers Jobs - The Demand "By 2022, 75% of all databases will be deployed or transferred to a cloud platform, with only 5% ever evaluated for repatriation to on-premises," according to Gartner. Data engineers will be in high demand as long as there is data to process. Who should take the certification exam?

Data Engineer 52

Data Engineer Data Engineering Engineering Certification 52

AltexSoft

OCTOBER 8, 2021

Data integration defines the process of collecting data from a number of disparate source systems and presenting it in a unified form within a centralized location like a data warehouse. Data integration process. Whatever the use case, either ETL or ELT process is an integral part of data integration.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

ProjectPro

JULY 27, 2021

But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis. Differentiate between relational and non-relational database management systems. Non-relational databases support dynamic schema for unstructured data.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

In the big data industry, Hadoop has emerged as a popular framework for processing and analyzing large datasets, with its ability to handle massive amounts of structured and unstructured data. In this blog, we will explore some exciting and real time Hadoop projects that can help you take your data analysis and processing to the next level.

Hadoop 40

Hadoop Project Big Data Media 40

U-Next

AUGUST 3, 2022

Now that well-known technologies like Hadoop and others have resolved the storage issue, the emphasis is on information processing. They investigate the outcomes of processing data, analytics, and modelling to offer suggestions for businesses and other groups. Up until 2010, it was extremely difficult for companies to store data.

Retail 52

Retail Data Science Computer Science Entertainment 52