Knowledge Hut

NOVEMBER 19, 2023

Algorithms, data preparation and model evaluations. How to become: The career path for an AI engineer requires a degree in computer science or a similar field and becoming fluent with AI development tools and languages while creating an AI project portfolio. Follow new trends in AI by reading research articles and blog posts.

Computer Science 52

Computer Science Programming Language Machine Learning Business Intelligence 52

ProjectPro

SEPTEMBER 26, 2021

These roles have overlapping skills, but there is some difference between the three. Knowledge and experience with either of these tools will lead to developing skills in Big Data handling and management. Some organizations may look for skills in Big Data management or specifically Apache Spark.

Big Data 52

Big Data Data Engineer Data Engineering Engineering 52

ProjectPro

MAY 20, 2015

It provides the first purpose-built Adaptive Data Preparation Solution(launched in 2013) for data scientist, IT teams, data curators, developers, and business analysts -to integrate, cleanse and enrich raw data into meaningful analytic ready big data that can power operational, predictive , ad-hoc and packaged analytics.

Big Data 40

Big Data Hadoop Business Analyst Data Analytics 40

ProjectPro

JANUARY 31, 2023

Big Data Architect Interview Questions and Answers Following are the interview questions for big data architects that will help you ace your next job interview. Explain the data preparation process. Data preparation is one of the essential steps in a big data project.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

JUNE 24, 2021

Exploring various big data projects gives a better idea of where your interests lie while working with different analytics tools. It helps to build a job-winning data analytics portfolio and sets you apart from other candidates while applying for a job. to analyze the data.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40