Data Engineering Podcast

MARCH 11, 2018

You first co-authored Refactoring Databases in 2006. What have you found to be the most problematic aspects of databases when trying to evolve the functionality of a system? Looking back over the past 12 years, what has changed in the areas of database design and evolution?

Database 100

Database MongoDB NoSQL Insurance 100

Knowledge Hut

MARCH 26, 2024

Extensive experience in data architecture, database design, and data warehousing. Proficiency in database technologies such as SQL, NoSQL, and Big Data platforms. Strong understanding of user-centric design principles, agile methodologies, and emerging digital trends.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Edureka

FEBRUARY 6, 2023

Expected skills and experience include SQL database design proficiency, process documentation proficiency, strong written and verbal communication skills, and the ability to work independently and in teams. Data engineers frequently work in groups and should enjoy collaborating with other data engineers. Lakhs to 15.0

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

JANUARY 12, 2024

Especially exciting is the diverse landscape of opportunities in banking, IT, telecom, insurance, and finance, making this field not just lucrative but ever-evolving. As a part of SQL Database Developer duties, you will also be in charge of developing database designs as well as making sure they are stable, reliable, and effective.

Cloud Computing 98

Cloud Computing Cloud Computer Science Programming Language 98

ProjectPro

MARCH 16, 2015

Healthcare informatics also contributes to the development of Big Data analytic technology by posing novel challenges in terms of data knowledge representation, database design, data querying and clinical decision support. This data will help the insurer compute the cost of insurance policy.

Healthcare 40

Healthcare Big Data Project Hospitality 40

ProjectPro

MARCH 15, 2016

Using Hadoop on such scale of data helps in easy and quick data representation, database design, clinical decision analytics, data querying and fault tolerance. Hadoop as a database system allows the storage of unstructured healthcare data in its native form.

Hadoop 40

Hadoop Retail Healthcare Banking 40