Knowledge Hut

OCTOBER 27, 2023

Code Example javascript import React, { useState, useEffect } from 'react'; import firebase from 'firebase'; function App() { const [courses, setCourses] = useState([]); useEffect(() => { firebase.database().ref('courses/').on('value', cvtColor(image, cv2.COLOR_BGR2GRAY) COLOR_BGR2GRAY) _, thresh = cv2.threshold(gray_image,

Software Engineer 98

Software Engineer Software Engineering Coding Project 98

ProjectPro

JUNE 6, 2025

To eliminate data redundancy, data modeling brings together data from diverse systems. A primary key is a column or set of columns in a relational database management system table that uniquely identifies each record. Consolidate and develop hybrid architectures in the cloud and on-premises, combining conventional, NoSQL, and Big Data.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

ProjectPro

JUNE 6, 2025

When and why would you choose to partition data in a distributed system? Data partitioning in ETL processes within a distributed system is crucial for optimizing performance and parallelizing operations. Write a Python code to test if the input is an IP address? If the p-value is below a predefined significance level (e.g.,

Data Engineer 40

Data Engineer Data Engineering Engineering NoSQL 40

ProjectPro

JUNE 6, 2025

This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL. Datafication is not a new trend but the speed with which data is being generated in real time operational analytics systems is breath-taking.

Big Data 40

Big Data Data Analysis NoSQL Deep Learning 40

ProjectPro

JUNE 6, 2025

This person can build and deploy complete, scalable Artificial Intelligence systems that an end-user can use. AI Engineer Roles and Responsibilities The core day-to-day responsibilities of an AI engineer include - Understand business requirements to propose novel artificial intelligence systems to be developed.

Engineering 75

Engineering Software Engineer Software Engineering Deep Learning 75

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 MongoDB Relational Database 52

ProjectPro

MARCH 19, 2015

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. As data processing requirements grow exponentially, NoSQL is a dynamic and cloud friendly approach to dynamically process unstructured data with ease.IT

NoSQL 49

NoSQL Big Data SQL Database-centric 49

ProjectPro

JUNE 6, 2025

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Data Engineer Jobs- The Demand Data Scientist was declared the sexiest job of the 21st century about ten years ago. The role of a data engineer is to use tools for interacting with the database management systems.

Data Engineer 58

Data Engineer Data Engineering Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

For storing data, use NoSQL databases as they are an excellent choice for keeping massive amounts of rapidly evolving organized/unorganized data. DVC enables you to save time when discovering a bug in earlier versions of your ML model by utilizing code, data versioning, and reproducibility.

Machine Learning 58

Machine Learning Building Amazon Web Services Deep Learning 58

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 40

AWS Database Amazon Web Services MySQL 40

ProjectPro

JUNE 6, 2025

The datasets are usually present in Hadoop Distributed File Systems and other databases integrated with the platform. It instead relies on other systems, such as Amazon S3, etc. It instead relies on other systems, such as Amazon S3, etc.

Hadoop 45

Hadoop Java Big Data Tools SQL 45

ProjectPro

JUNE 6, 2025

Data modelers are highly in demand for building effective data modeling solutions by analyzing enterprise data and managing efficient database systems. They also develop and manage data systems and maintain data maps and relevant diagrams for data systems. What does a Data Modeler do?

NoSQL 40

NoSQL ETL Tools Certification SQL 40

ProjectPro

JUNE 6, 2025

We need a system that collects, transforms, stores, and analyzes data at scale. We call this system Data Engineering. Hence, data engineering is building, designing, and maintaining systems that handle data of different types. Check out these data science projects with source code in Python today!

Data Science 40

Data Science Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

” AWS DocumentDB is a fully managed, NoSQL database service provided by Amazon Web Services (AWS). This popular open-source NoSQL database makes it an ideal choice for applications that require the flexibility of a document database while benefiting from AWS's scalability, reliability, and management features.

AWS 40

AWS Database MongoDB Management 40

ProjectPro

JUNE 6, 2025

A Big Data Developer is a specialized IT professional responsible for designing, implementing, and managing large-scale data processing systems that handle vast amounts of information, often called "big data." Additionally, expertise in specific Big Data technologies like Hadoop, Spark, or NoSQL databases can command higher pay.

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

SEPTEMBER 16, 2021

NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies. Table of Contents HBase vs. Cassandra - What’s the Difference?

NoSQL 52

NoSQL Database Hadoop Big Data 52

ProjectPro

JUNE 6, 2025

Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization Google Data Scientist Salary - How much does a data scientist at Google make? Google uses a levelling system to decide the compensation of the Data Scientists and the promotions of its employees.

Recruitment 73

Recruitment Data Science NoSQL Machine Learning 73

ProjectPro

JUNE 6, 2025

Some of the major advantages of using PySpark are- Writing code for parallel processing is effortless. Hadoop Datasets: These are created from external data sources like the Hadoop Distributed File System (HDFS) , HBase, or any storage system supported by Hadoop. Mention some of the major advantages and disadvantages of PySpark.

Hadoop 68

Hadoop Metadata Java Datasets 68

ProjectPro

JUNE 6, 2025

Azure Cosmos DB Pricing Azure Cosmos DB Tutorial: Getting Started with NoSQL Database Real-World Applications of Azure Cosmos DB Boosting Performance in Cosmos DB: Top Tips and Techniques Azure Cosmos DB Project Ideas Enhance Your Data Management Skills with ProjectPro's Guided Azure Projects! What is Cosmos DB Used for?

Database 40

Database Management MongoDB NoSQL 40

ProjectPro

JUNE 6, 2025

This data infrastructure forms the backbone for analytics, machine learning algorithms , and other critical systems that drive content recommendations, user personalization, and operational efficiency. Be prepared for theoretical discussions, practical problem-solving exercises, and coding assessments.

Data Engineer 40

Data Engineer Data Engineering Engineering NoSQL 40

ProjectPro

JUNE 6, 2025

Borg, Google's large-scale cluster management system, distributes computing resources for the Dremel tasks. Dremel tasks read data from Google's Colossus file systems through the Jupiter network, conduct various SQL operations, and provide results to the client. Evaluate the accuracy of the model and make necessary modifications.

Bytes 40

Bytes Google Cloud Data Warehouse Cloud Storage 40

ProjectPro

JUNE 6, 2025

Data ingestion systems such as Kafka , for example, offer a seamless and quick data ingestion process while also allowing data engineers to locate appropriate data sources, analyze them, and ingest data for further processing. Database tools/frameworks like SQL, NoSQL , etc.,

Data Engineer 45

Data Engineer Data Engineering Engineering Kafka 45

ProjectPro

JUNE 6, 2025

When any particular project is open-sourced, it makes the source code accessible to anyone. As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly.

Big Data 49

Big Data Project Metadata Programming Language 49

ProjectPro

JUNE 6, 2025

A data architect role involves working with dataflow management and data storage strategies to create a sustainable database management system for an organization. Machine Learning Architects build scalable systems for use with AI/ML models. Maintain data security and set guidelines to ensure data accuracy and system safety.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

The data science team will build the machine learning model, but you might need to tweak some of their codes for deployment. Most models built by data science teams aren’t feasible for production since they can’t handle large amounts of data that enters the system in real-time.

Engineering 49

Engineering Machine Learning Data Science Software Engineer 49

ProjectPro

JUNE 6, 2025

For example, imagine a fraud detection system in a banking environment that needs to analyze transactions between accounts to identify suspicious patterns. The result is a more efficient system that can quickly detect potential fraud. Let's consider a simplified social network to illustrate how a graph database operates.

Database 40

Database Database-centric Relational Database MongoDB 40

ProjectPro

JUNE 6, 2025

Use statistical methodologies and procedures to make reports Work with online database systems Improve data collection and quality procedures in collaboration with the rest of the team Kickstart your journey in the exciting domain of Data Science with these solved data science mini projects today!

Data Science 56

Data Science Data Mining Data Architect BI 56

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. RDBMS is a part of system software used to create and manage databases based on the relational model. FSCK stands for File System Check, used by HDFS. Data Processing: This is the final step in deploying a big data model.

Big Data 40

Big Data Hadoop Relational Database NoSQL 40

ProjectPro

JUNE 6, 2025

FAQs on Data Engineering Projects Top 30+ Data Engineering Project Ideas for Beginners with Source Code [2025] We recommend over 20 top data engineering project ideas with an easily understandable architectural workflow covering most industry-required data engineer skills. Build your Data Engineer Portfolio with ProjectPro!

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

ProjectPro

JUNE 6, 2025

Ideal For Since it is a beginner-level course, it is suitable for anyone with basic Computer & IT knowledge and working experience in one or more Operating Systems. Ideal For This course is suitable for anyone with a solid foundation in coding, command line usage, data systems, and a basic understanding of SQL. SQL, NoSQL).

Data Engineer 45

Data Engineer Data Engineering Cloud Engineering 45

ProjectPro

JUNE 6, 2025

Data engineers are responsible for creating pipelines enabling data flow from various sources to data storage and processing systems. Worried about finding good Hadoop projects with Source Code ? 2) Database Management A database management system is the foundation of any data infrastructure.

Data Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

They provide a centralized repository for data, known as a data warehouse, where information from disparate sources like databases, spreadsheets, and external systems can be integrated. This feature is crucial for applications that require up-to-the-minute insights, such as monitoring dashboards and fraud detection systems.

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

ProjectPro

JUNE 6, 2025

We shouldn’t be trying for bigger computers, but for more systems of computers.” In reference to Big Data) Developers of Google had taken this quote seriously, when they first published their research paper on GFS (Google File System) in 2003. ” — Grace Hopper, a popular American Computer Scientist. (In

Hadoop 45

Hadoop IT Big Data Retail 45

ProjectPro

JUNE 6, 2025

PAAS - PaaS provides enterprises with a platform where they could deploy their code and applications. Big data analytics - Big data and Cloud technologies go hand in hand and essentially make systems faster, scalable, failsafe, high-performance, and cheaper. Cloud consists of a shared pool of resources and systems.

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

ProjectPro

JUNE 6, 2025

Data engineering entails creating and developing data collection, storage, and analysis systems. Data engineers create systems that gather, analyze, and transform raw data into useful information. Major industries are turning to applicant tracking systems (ATS) to help their highly-innovative hiring operations.

Data Engineer 40

Data Engineer Data Engineering Recruitment Engineering 40

ProjectPro

JUNE 6, 2025

With the Talend big data tool , Talend developers can quickly create an environment for on-premise or cloud data integration tasks that work well with Spark, Apache Hadoop , and NoSQL databases. The components enable the design of configuration-only integration jobs rather than ones that require coding.

ETL Tools 45

ETL Tools Big Data Java Metadata 45

ProjectPro

JUNE 6, 2025

Build an Awesome Job Winning Data Engineering Projects Portfoli o Technical Skills Required to Become a Big Data Engineer Database Systems: Data is the primary asset handled, processed, and managed by a Big Data Engineer. You must have good knowledge of the SQL and NoSQL database systems.

Big Data 40

Big Data Data Engineer Data Engineering Engineering 40