Knowledge Hut

JULY 24, 2023

NoSQL Databases NoSQL databases are non-relational databases (that do not store data in rows or columns) more effective than conventional relational databases (databases that store information in a tabular format) in handling unstructured and semi-structured data.

Database 52

Database NoSQL Management Relational Database 52

AltexSoft

MAY 12, 2023

Without a fixed schema, the data can vary in structure and organization. File systems, data lakes, and Big Data processing frameworks like Hadoop and Spark are often utilized for managing and analyzing unstructured data. You can’t just keep it in SQL databases, unlike structured data.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

APRIL 24, 2024

Fingerprint Technology-Based ATM This project aims to enhance the security of ATM transactions by utilizing fingerprint recognition for user authentication. It provides real-time weather data updates, severe weather alerts, customizable user interface, and analytics and reporting features. cvtColor(image, cv2.COLOR_BGR2GRAY)

Software Engineer 52

Software Engineer Software Engineering Coding Project 52

Knowledge Hut

OCTOBER 27, 2023

Fingerprint Technology-Based ATM This project aims to enhance the security of ATM transactions by utilizing fingerprint recognition for user authentication. It provides real-time weather data updates, severe weather alerts, customizable user interface, and analytics and reporting features. cvtColor(image, cv2.COLOR_BGR2GRAY)

Software Engineer 98

Software Engineer Software Engineering Coding Project 98

ProjectPro

JANUARY 24, 2023

Furthermore, BigQuery supports machine learning and artificial intelligence, allowing users to use machine learning models to analyze their data. BigQuery Storage BigQuery leverages a columnar storage format to efficiently store and query large amounts of data. What is Google BigQuery Used for?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

Rockset

MAY 24, 2021

Serverless is a way to utilize infrastructure to build applications and services without needing to provision or scale out servers. Other issues that come along with traditional environments include: Cost: You have to pay to keep the server up, which often means you’re stuck paying for peak capacity even during low utilization.

Database 40

Database Google Cloud AWS Cloud Storage 40

AltexSoft

JULY 29, 2022

No matter the actual size, each cluster accommodates three functional layers — Hadoop distributed file systems for data storage, Hadoop MapReduce for processing, and Hadoop Yarn for resource management. As a result, today we have a huge ecosystem of interoperable instruments addressing various challenges of Big Data.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59