Confluent

MAY 21, 2019

There are databases, document stores, data files, NoSQL and ETL processes involved. Having well-defined schemas that are documented, validated and managed across the entire architecture will help integrate data and microservices —a notoriously challenging problem that we discussed at some length in the past.

Kafka 110

Kafka Insurance Architecture Database 110

Knowledge Hut

JANUARY 18, 2024

Data science provides several job roles with high salaries. Data Scientist-(average salary: Rs 11 lakhs, can reach up to Rs 25 lakhs) Data analyst-(average salary: Rs 4.2 lakhs) Data architect-(average salary: Rs 23 lakhs, can reach up to Rs 38.5 lakhs) Data engineer-(average salary: Rs8.1

Data Science 52

Data Science Programming Language Computer Science NoSQL 52

Knowledge Hut

DECEMBER 21, 2023

Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language). For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases.

Data Engineer 52

Data Engineer Data Engineering Engineering MongoDB 52

ProjectPro

JUNE 17, 2015

CIOs are looking for software engineers who can think beyond what they're doing today and for business analysts who can predict what customers will want next year and the year after that. 2) NoSQL Databases -Average Salary$118,587 If on one side of the big data virtuous cycle is Hadoop, then the other is occupied by NoSQL databases.

Cloud Computing 40

Cloud Computing Big Data Cloud R (Programming) 40

Knowledge Hut

FEBRUARY 16, 2023

After the inception of databases like Hadoop and NoSQL, there's a constant rise in the requirement for processing unstructured or semi-structured data. Data Engineers are responsible for these tasks. The average salary for data engineers having no degree earn around $77,000 per year.

Data Engineer 52

Data Engineer Data Engineering Engineering Recruitment 52

ProjectPro

JUNE 6, 2025

AI-102: Microsoft Azure AI Engineer Associate Certification Path This certification is suitable for software engineers who want to demonstrate their skills in designing, developing, and deploying AI solutions on Azure. Familiarity with NoSQL databases and database development concepts.

Certification 40

Certification Cloud Cloud Computing Machine Learning 40

ProjectPro

JUNE 29, 2016

As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc. If you have not sharpened your big data skills then you will likely get the boot, as your company will start looking for developers with Hadoop experience.

Hadoop 40

Hadoop Big Data Banking Consulting 40

ProjectPro

JUNE 6, 2025

Key Responsibilities of a Financial Data Analyst Career Path Extract data from familiar databases, build data pipelines , and transform the data into an appropriate format using suitable approaches. Yes, you can become a data analyst in 3 months. 4+ years of practical experience with Power BI dashboards.

Consulting 40

Consulting Healthcare Programming Language BI 40

ProjectPro

MAY 19, 2015

Thus, professionals must learn Hadoop to ramp up on the big data technology as Hadoop is soon going to be identified as a must have skill by all big data companies. According to Technology Research Organization, Wikibon-“Hadoop and NoSQL software and services are the fastest growth technologies in the data market.”

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40

AltexSoft

MARCH 14, 2023

A Modern Data Stack (MDS) is a collection of tools and technologies used to gather, store, process, and analyze data in a scalable, efficient, and cost-effective way. Software engineers use a technology stack — a combination of programming languages, frameworks, libraries, etc. —

IT 59

IT Data Warehouse Data Governance Data Lake 59

Knowledge Hut

OCTOBER 8, 2023

A data engineer builds pipelines to help convert this data into readable and usable formats. To carry out such duties, it’s imperative to understand database management and software engineering. AWS data engineers also need to have a sound understanding of AWS.

AWS 52

AWS Data Engineer Data Engineering Engineering 52

ProjectPro

JULY 27, 2021

Read more for a detailed comparison between data scientists and data engineers. How is a data architect different from a data engineer? Data architect Data engineers Data architects visualize and conceptualize data frameworks.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

Rockset

FEBRUARY 17, 2022

Yes, it’s nice to use all the fancy tools, but it’s important to remember that our product is the data. As data engineers, how we engineer said data is important. SQL is our principal language for data. We're seeing an explosion in the data infrastructure space.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52