Knowledge Hut

DECEMBER 26, 2023

Let us first get a clear understanding of why Data Science is important. What is the need for Data Science? If we look at history, the data that was generated earlier was primarily structured and small in its outlook. A simple usage of Business Intelligence (BI) would be enough to analyze such datasets.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

JUNE 23, 2023

Steps to Become a Data Engineer One excellent point is that you don’t need to enter the industry as a data engineer. You can start as a software engineer, business intelligence analyst, data architect, solutions architect, or machine learning engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

NOVEMBER 27, 2023

Is it the part where you turn raw data into useful ones, or it the part where you engineer new features out of the existing ones in order to help create suitable models? Is it Data Visualization where you present your findings in form of a report or a Dashboard, or is it Machine Learning where you build ML models and deploy them?

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

AltexSoft

MARCH 14, 2023

to build products and services for various purposes. A data stack, in turn, focuses on data : It helps businesses manage data and make the most out of it. Modern data stack architecture. Data transformation To bring value, data stored in the data warehouse must undergo a transformation process.

IT 59

IT Data Warehouse Data Governance Data Lake 59

ProjectPro

JULY 15, 2021

As per a survey, over 90% of the respondents use cloud services and platforms to carry out their business operations. From cloud computing consultants to big data architects, companies across the world are looking to hire big data and cloud experts at an unparalleled rate.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

Knowledge Hut

SEPTEMBER 6, 2023

They highlight competence in data management, a pivotal requirement in today's business landscape, making certified individuals a sought-after asset for employers aiming to efficiently handle, safeguard, and optimize data operations. It builds on the basic knowledge gained through related SAP HANA training.

Database 52

Database Certification MongoDB MySQL 52

ProjectPro

MAY 19, 2015

5 Reasons to Learn Hadoop With 2015 bringing in a larger list of big data use cases for analysing information, here are 5 reasons to learn Hadoop so that professionals can exploit these lucrative career opportunities in the big data market. “ – says Christy Wilson, famous Tech Blogger.

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40