ProjectPro

JUNE 6, 2025

Non-Relational Databases or NoSQL Databases Non-relational or NoSQL databases offer a flexible alternative to traditional relational databases, accommodating diverse data types and volumes. Their schema-less nature simplifies storage but requires careful data modeling for effective querying.

AWS 40

AWS Database Amazon Web Services MySQL 40

ProjectPro

JUNE 6, 2025

Data Analysis Tools- How does Big Data Analytics Benefit Businesses? Big data is much more than just a buzzword. 95 percent of companies agree that managing unstructured data is challenging for their industry. Big data analysis tools are particularly useful in this scenario.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

Project Idea: To build this project, begin by grasping ETL on Big Data and the concepts of staging and Data Lake. Configure AWS CLI and comprehend Data Streams, Amazon Kinesis, and Apache Flink. Create a Kinesis Data Analytics Application and utilize Glue and Athena to define the Partition Key.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

Monte Carlo

MAY 14, 2024

Depending on the quantity of data flowing through an organization’s pipeline — or the format the data typically takes — the right modern table format can help to make workflows more efficient, increase access, extend functionality, and even offer new opportunities to activate your unstructured data.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Knowledge Hut

JULY 26, 2023

Database applications have become vital in current business environments because they enable effective data management, integration, privacy, collaboration, analysis, and reporting. It includes the tools and functionality required to create, store, retrieve, and modify data in a database. Spatial Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

MARCH 15, 2024

3) DP-900: Microsoft Azure Data Fundamentals This certification is intended for candidates who are just starting out in the MS Azure learning path with cloud-based data management. It teaches the fundamentals of data principles and how to use Microsoft data services.

Cloud Computing 52

Cloud Computing Certification Algorithm SQL 52

ProjectPro

MAY 20, 2015

Several big data companies are looking to tame the zettabyte’s of BIG big data with analytics solutions that will help their customers turn it all in meaningful insights.

Big Data 40

Big Data Hadoop Business Analyst Data Analytics 40

ProjectPro

MARCH 15, 2016

Such large commercial banks can leverage big data analytics more effectively by using frameworks like Hadoop on massive volumes of structured and unstructured data. Hadoop allows us to store data that we never stored before. Another example of Big Data management in the telecom industry comes from Nokia.

Hadoop 40

Hadoop Retail Banking Healthcare 40

ProjectPro

JANUARY 31, 2023

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 52

Big Data Hadoop Relational Database AWS 52

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. With Hadoop and Pig platform one can achieve next-level extraction and interpretation of such complex unstructured data.

Hadoop 40

Hadoop Project Big Data Media 40

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. are examples of semi-structured data. How Big Data Works?

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

JUNE 6, 2025

Data scientists utilize statistical techniques, informatics, and diverse data analysis methods to gather, process, and interpret information. They possess the expertise to create algorithms and software systems, enabling them to decipher unstructured data for specific healthcare purposes.

Healthcare 40

Healthcare Data Science Hospitality Medical 40