Blog Datasets Raw Data Structured Data 
Rockset
MARCH 27, 2019
You have complex, semi-structured data—nested JSON or XML, for instance, containing mixed types, sparse fields, and null values. It's messy, you don't understand how it's structured, and new fields appear every so often. Without a known schema, it would be difficult to adequately frame the questions you want to ask of the data.
Edureka
AUGUST 2, 2023
Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. Let’s take a deep dive into the subject and look at what we’re about to study in this blog: Table of Contents What Is Data Processing Analysis?
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Knowledge Hut
DECEMBER 26, 2023
If we look at history, the data that was generated earlier was primarily structured and small in its outlook. A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured.
Edureka
JANUARY 18, 2024
It also discusses available resources and tools, and the current data science landscape. Need for Data Science Data scientists play a vital part in improving decision-making, increasing business efficiency, and turning massive volumes of data into actionable insights.
Workfall
JULY 4, 2023
Reading Time: 8 minutes In the world of data engineering, a mighty tool called DBT (Data Build Tool) comes to the rescue of modern data workflows. Imagine a team of skilled data engineers on an exciting quest to transform raw data into a treasure trove of insights.
Picnic Engineering
JULY 24, 2023
In this blog post, we’ll discuss how we teach transformers to distinguish between products like a potato and a banana, thereby enhancing future demand prediction. By converting raw data into valuable information, transformer models could significantly contribute to sustainability. Then you are in the right place!
Rockset
AUGUST 2, 2023
The Windward Maritime AI platform Lastly, Windward wanted to move their entire platform from batch-based data infrastructure to streaming. In this blog, we’ll describe the new data platform for Windward and how it is API first, enables rapid product iteration and is architected for real-time, streaming data.
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