Knowledge Hut

JANUARY 19, 2024

A business intelligence role typically consists of data collection, analysis, and dissemination to the appropriate audience. They are in charge of collecting data points, coordinating with the IT department and higher management, and evaluating data to identify a company's needs.

Business Intelligence 52

Business Intelligence BI Business Analyst Finance 52

Knowledge Hut

FEBRUARY 15, 2023

Data analysis starts with identifying prospectively benefiting data, collecting them, and analyzing their insights. Further, data analysts tend to transform this customer-driven data into forms that are insightful for business decision-making processes. It is a web-based live analytics tool.

Data Cleanse 52

Data Cleanse Entertainment Business Intelligence Recruitment 52

U-Next

SEPTEMBER 29, 2022

A data analyst often works as part of an integrative team to identify the organization’s goals before managing the process of data mining, cleansing, and analysis. To get and communicate their conclusions, data analysts employ programming languages, visualization tools, and communication skills. .

Data Science 40

Data Science Data Analytics Data Mining Algorithm 40

ProjectPro

JANUARY 31, 2023

There are many reasons why the modern insurance sector prefers machine learning and data science : Rapidly growing data volumes- Consumer electronics with an internet connection, such as smartphones, smart TVs, and fitness trackers, are becoming increasingly popular today. Check them out now!

Insurance 75

Insurance Machine Learning Project Algorithm 75

Knowledge Hut

NOVEMBER 20, 2023

It also has a plugin architecture that supports many programming languages , such as Java or Python. It can monitor networks such as LANs or WANs using Zabbix proxies that monitor remote hosts and report data back to the central Zabbix server (or proxy). Jenkins provides a graphical user interface for managing jobs and projects.

Amazon Web Services 52

Amazon Web Services Java Project Cloud 52

U-Next

AUGUST 11, 2022

Skill requirements for Data Science. A Data Scientist is typically expected to be knowledgeable in the following programming languages, R, SAS, SQL, Python, and Hive as examples of languages required to work with data. The efficacy and accuracy of data can be increased through data cleansing and validation.

Data Science 40

Data Science Data Cleanse Unstructured Data Machine Learning 40

ProjectPro

AUGUST 24, 2021

Learn how to use various big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop for real-time data aggregation. Project Idea: Azure Pureview is a data governance tool introduced by Microsoft that lets its users handle data better. Ability to adapt to new big data tools and technologies.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52