Remove Aggregated Data Remove Data Collection Remove Data Ingestion Remove Structured Data
article thumbnail

Data Warehousing Guide: Fundamentals & Key Concepts

Monte Carlo

This article will define in simple terms what a data warehouse is, how it’s different from a database, fundamentals of how they work, and an overview of today’s most popular data warehouses. What is a data warehouse? Yes, data warehouses can store unstructured data as a blob datatype. They need to be transformed.

article thumbnail

Build Internal Apps in Minutes with Retool and Rockset: A Customer 360 Example

Rockset

Essentially, Rockset is an indexing layer on top of DynamoDB and Amazon Kinesis, where we can join, search, and aggregate data from these sources. From there, we’ll create a data API for the SQL query we write in Rockset. When an associate converses with the customer, they can handle the customer’s situation appropriately.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Data Engineering Project for Beginners If you are a newbie in data engineering and are interested in exploring real-world data engineering projects, check out the list of data engineering project examples below. This big data project discusses IoT architecture with a sample use case.

article thumbnail

A Beginner’s Guide to Learning PySpark for Big Data Processing

ProjectPro

PySpark is a handy tool for data scientists since it makes the process of converting prototype models into production-ready model workflows much more effortless. Another reason to use PySpark is that it has the benefit of being able to scale to far more giant data sets compared to the Python Pandas library.