Knowledge Hut

JANUARY 30, 2024

However, through data extraction, this hypothetical mortgage company can extract additional value from an existing business process by creating a lead list, thereby increasing their chances of converting more leads into clients. Extraction: This initial step involves retrieving data from one or multiple sources or systems.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

DECEMBER 27, 2023

Network with others in the industry, as they may need someone with your experience when they start their business analyst teams. Data Business Analyst Experience Data Business Analysts are expected to have a minimum of 2-5 years of experience in business analysis.

Business Analyst 52

Business Analyst Computer Science Finance Data Analysis 52

U-Next

AUGUST 11, 2022

The present era is truly the golden age of technology. Due to the mass-scale adaptation of the latest technologies like the Internet, our life and its objectives are technology bound. Artificial Intelligence is the next technological revolution that has already accomplished a lot, despite being in its early stages.

Medical 52

Medical Computer Science Scala Machine Learning 52

ProjectPro

OCTOBER 6, 2021

The entire data is split into chunks, and each chunk is managed using a highly protected encryption key. Google uses AES256 as its storage level and also uses Tink technology as its cryptographic library. This data is then analyzed and mined using business intelligence tools.

Google Cloud 52

Google Cloud Project Data Lake Healthcare 52

U-Next

SEPTEMBER 22, 2022

Businesses gain a competitive advantage by predicting the future. Predictive modeling , which is a byproduct of artificial intelligence, goes one step beyond predictions. Machine Learning and business intelligence are used in predictive analytics, also known as advanced analytics. . Benefits of Predictive Modeling .

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

ProjectPro

SEPTEMBER 26, 2021

Big Data refers to the massive volumes of data which is no longer possible to manage using traditional software applications. Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets. Data Scientists use ML algorithms to make predictions on the data sets.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

AUGUST 24, 2021

But before you send out your resume for any data engineer job, and if you want to get shortlisted for further rounds, you need to have ample knowledge of various data engineering technologies and methods. This big data project discusses IoT architecture with a sample use case. The second stage is data preparation.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JUNE 24, 2021

Here are a few reasons why you should work on data analytics projects: Data analytics projects for grad students can help them learn big data analytics by doing instead of just gaining theoretical knowledge. Some amount of experience working on Python projects can be very helpful to build up data analytics skills.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40