Data Storage Manufacturing NoSQL Unstructured Data 
Knowledge Hut
JULY 26, 2023
Users can use commands or user-friendly graphical interfaces to create, update, delete, and retrieve data from the database. They are used in a wide range of businesses and areas, including banking, healthcare, e-commerce, and manufacturing. Spatial Database (e.g.-
Knowledge Hut
MAY 31, 2023
It can also be used to generate reports and forecasts based on inventory data. This type of project can be useful for businesses in various industries, such as retail, manufacturing and distribution. From basic data retrieval to robust CRUD operations, Node.js It is also one of the most important database projects for students.
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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.
Knowledge Hut
DECEMBER 26, 2023
Importance of Big Data Companies Big Data is intricate and can be challenging to access and manage because data often arrives quickly in ever-increasing amounts. Both structured and unstructured data may be present in this data. Microsoft's Big Data strategy is broad and expanding rapidly.
Knowledge Hut
MARCH 27, 2024
MongoDB This free, open-source platform, which came into the limelight in 2010, is a document-oriented (NoSQL) database that is used to store a large amount of information in a structured manner. Data analytics tools in big data includes a variety of tools that can be used to enhance the data analysis process.
Knowledge Hut
DECEMBER 26, 2023
Analyzing and organizing raw data Raw data is unstructured data consisting of texts, images, audio, and videos such as PDFs and voice transcripts. The job of a data engineer is to develop models using machine learning to scan, label and organize this unstructured data.
ProjectPro
SEPTEMBER 26, 2021
Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets. Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. You must have good knowledge of the SQL and NoSQL database systems.
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