Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective.

Cloud 50

Cloud Hadoop Healthcare Big Data Ecosystem 50

U-Next

SEPTEMBER 23, 2022

To handle this large amount of data, we want a far more complicated architecture comprised of numerous components of the database performing various tasks rather than just one. . Real-life Examples of Big Data In Action . To address these issues, Big Data technologies such as Hadoop were established.

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

Knowledge Hut

SEPTEMBER 6, 2023

Statistical Knowledge : It is vital to be familiar with statistical procedures and techniques in order to assess data and form trustworthy conclusions. Data Mining and ETL : For gathering, transforming, and integrating data from diverse sources, proficiency in data mining techniques and Extract, Transform, Load (ETL) processes is required.

Big Data 52

Big Data Certification Hadoop Kafka 52

ProjectPro

MAY 23, 2015

The predictive analytics platform of Inkiru incorporates machine learning technologies to automatically enhance the accuracy of algorithms and can integrate with diverse external and internal data sources. How Walmart uses Big Data? Walmart has a broad big data ecosystem.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Knowledge Hut

DECEMBER 21, 2023

The purpose of data engineering is to analyze data and make decisions easier. The primary process comprises gathering data from multiple sources, storing it in a database to handle vast quantities of information, cleaning it for further use and presenting it in a comprehensible manner.

Data Engineer 52

Data Engineer Data Engineering Engineering MongoDB 52