Knowledge Hut

SEPTEMBER 6, 2023

Skills acquired : Relational database concepts Retrieving data using the SQL SELECT statement. Sorting and restricting data. Using Conditional Expressions and Conversion functions Reporting Aggregated Data Using Group Functions Displaying data taken from multiple tables. Oracle Certified Professional, MySQL 8.0

Database 52

Database Certification MongoDB MySQL 52

AltexSoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. How Apache Kafka streams relate to Franz Kafka’s books. Practically, nothing.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

FEBRUARY 22, 2022

Data Analysts use SQL to build an inventory management system to help business owners make critical decisions related to inventory planning. You must have come across various books. Work on this project and set up a virtual bookstore with your favorite books. What are the most popular books in each city?

Data Analysis 52

Data Analysis SQL Project Banking 52

ProjectPro

APRIL 20, 2017

You have read some of the best Hadoop books , taken online hadoop training and done thorough research on Hadoop developer job responsibilities – and at long last, you are all set to get real-life work experience as a Hadoop Developer. Learn to build a music recommendation system using Collaborative Filtering method.

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

AUGUST 24, 2021

Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Rockset

SEPTEMBER 13, 2022

Further, data is king, and users want to be able to slice and dice aggregated data as needed to find insights. Users don't want to wait for data engineers to provision new indexes or build new ETL chains. They want unfettered access to the freshest data available.

SQL 52

SQL Database Relational Database AWS 52