ProjectPro

JUNE 6, 2025

Begin Your Big Data Journey with ProjectPro's Project-Based PySpark Online Course ! Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples. It tests several platforms such as Hadoop, Teradata, Oracle, Microsoft, IBM, MongoDB, Cloudera, Amazon, and other Hadoop suppliers.

Big Data 40

Big Data Hadoop Relational Database AWS 40

Knowledge Hut

APRIL 25, 2024

It is one of the premier languages and is often used by developers to handle simple and complex projects. Good Communication and Interpersonal Skills The job of the backend developer doesn't end with creating a technically superior project. Therefore, having a solid grasp of the database is essential. to manage DBMS.

Programming Language 98

Programming Language Java MySQL Algorithm 98

ProjectPro

JUNE 6, 2025

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

APRIL 12, 2023

Although there are similarities between the two stacks, each has unique characteristics that make it better suited for specific project types. It's critical to be aware of each stack's advantages and disadvantages when selecting one for your upcoming web development project. What is the MEAN Stack? What is the MERN Stack?

MongoDB 59

MongoDB NoSQL Architecture Non-relational Database 59

ProjectPro

JUNE 6, 2025

This blog is your go-to guide for the top 21 big data tools, their key features, and some interesting project ideas that leverage these big data tools and technologies to gain hands-on experience on enterprise. Data engineers develop the technology infrastructure for big data and data science projects.

Big Data Tools 40

Big Data Tools Big Data Hadoop Kafka 40

Knowledge Hut

JUNE 23, 2023

Let us look at the steps to becoming a data engineer: Step 1 - Skills for Data Engineer to be Mastered for Project Management Learn the fundamentals of coding skills, database design, and cloud computing to start your career in data engineering. You should be able to work outside your comfort zone and take on projects.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

AltexSoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Electronics 52

AltexSoft

NOVEMBER 23, 2021

Pfizer: Acceleration of information delivery to the company’s research projects. With data virtualization, Pfizer managed to cut the project development time by 50 percent. To join data together from non-relational databases and other unstructured sources, TIBCO has the built-in transformation engine doing all the jobs.

Process 69

Process Data Lake Metadata Data Warehouse 69

Knowledge Hut

APRIL 18, 2023

Roles and Responsibilities The responsibilities of a full-stack developer typically include designing, developing, and maintaining both the front-end and back-end components of a web application or software project. They supervise HTML projects, create online apps, code websites, and help visitors.

Computer Science 59

Computer Science Java Programming Language Education 59

ProjectPro

JUNE 6, 2025

Azure Data Engineer Job Description | Accenture Azure Certified Data Engineer Azure Data Engineer Certification Microsoft Azure Projects for Practice to Enhance Your Portfolio FAQs Who is an Azure Data Engineer? Check Out ProjectPro's Complete Data Engineering Traning with Enterprise-Grade Data Engineering Projects !

Data Engineering 49

Data Engineering Data Engineer Engineering Certification 49

ProjectPro

JANUARY 19, 2022

Azure Data Engineer Job Description | Accenture Azure Certified Data Engineer Azure Data Engineer Certification Microsoft Azure Projects for Practice to Enhance Your Portfolio FAQs Who is an Azure Data Engineer? Relational and non-relational databases are among the most common data storage methods.

Data Engineering 52

Data Engineering Data Engineer Engineering Certification 52

ProjectPro

JANUARY 31, 2023

Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples. It tests several platforms such as Hadoop, Teradata, Oracle, Microsoft, IBM, MongoDB, Cloudera, Amazon, and other Hadoop suppliers. Data preparation is one of the essential steps in a big data project.

Big Data 52

Big Data Hadoop Relational Database AWS 52

AltexSoft

OCTOBER 8, 2021

It’s worth remembering though that open-source projects may entail hidden costs related to purchasing hardware, building networks, training staff, etc. IBM InfoSphere Information Server is equipped with plenty of connectors that cover most relational and non-relational databases, CRMs, OLAP software, and BI applications.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 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

ProjectPro

JUNE 6, 2025

As businesses continue to show interest in leveraging their vast amounts of data, Hadoop projects are becoming increasingly important for organizations looking to extract insights and gain a competitive edge. Table of Contents Why work on Apache Hadoop Projects? FAQs Why work on Apache Hadoop Projects?

Hadoop 40

Hadoop Project Big Data Media 40

U-Next

AUGUST 3, 2022

The following duties are frequently handled by Data Scientists, even though each data research situation is unique and their tasks change based on the project. For the majority of projects, Data Scientists must work in tandem with other IT specialists to develop algorithms, data models, novel data-driven methodologies, etc.

Retail 52

Retail Data Science Computer Science Entertainment 52