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. You can also post your work on your LinkedIn profile.

Data Engineer 52

Data Engineer Data Engineering Engineering NoSQL 52

Rockset

JULY 22, 2022

Last week, Rockset hosted a conversation with a few seasoned data architects and data practitioners steeped in NoSQL databases to talk about the current state of NoSQL in 2022 and how data teams should think about it. He is a AWS Data Hero and speaks regularly at conferences such as AWS re:Invents and AWS Summits.

NoSQL 52

NoSQL SQL Database AWS 52

Knowledge Hut

SEPTEMBER 6, 2023

Practice tests are good for preparation before booking the actual exam. MongoDB Associate DBA Exam The associated exam is C100DBA. Passing this exam means one has a foundational knowledge of building, supporting, and securing MongoDB infrastructure. MongoDB aggregation. MongoDB Data Modelling Intro MongoDB Transactions.

Certification 52

Certification Database MongoDB MySQL 52

Knowledge Hut

SEPTEMBER 26, 2023

When designing, constructing, maintaining, and troubleshooting data pipelines that transfer data from its source to the proper storage place and make it accessible for analysis and reporting, we collaborate with data architects and data scientists. You can go through the Azure data engineer learning path.

Certification 52

Certification Data Engineer Data Engineering Engineering 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.

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40

AltexSoft

MARCH 14, 2023

It must collect, analyze, and leverage large amounts of customer data from various sources, including booking history from a CRM system, search queries tracked with Google Analytics, and social media interactions. Some popular databases are Postgres and MongoDB.

IT 59

IT Data Warehouse Data Governance Data Lake 59