Snowflake

NOVEMBER 11, 2024

Traditionally, SQL has been limited to structured data neatly organized in tables. Snowflake will be introducing new multimodal SQL functions (private preview soon) that enable data teams to run analytical workflows on unstructured data, such as images.

Unstructured Data 98

Unstructured Data SQL AWS Healthcare 98

Cloudera

NOVEMBER 15, 2021

Here we mostly focus on structured vs unstructured data. In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else.

Unstructured Data 90

Unstructured Data Pipeline-centric Database-centric Entertainment 90

Snowflake

MARCH 6, 2025

Large language models (LLMs) are transforming how we extract value from this data by running tasks from categorization to summarization and more. While AI has proved that real-time conversations in natural language are possible with LLMs, extracting insights from millions of unstructured data records using these LLMs can be a game changer.

Unstructured Data 97

Unstructured Data Medical Media Data Workflow 97

Data Engineering Podcast

JUNE 17, 2021

Summary Working with unstructured data has typically been a motivation for a data lake. Kirk Marple has spent years working with data systems and the media industry, which inspired him to build a platform for automatically organizing your unstructured assets to make them more valuable.

Unstructured Data 100

Unstructured Data Data Warehouse Metadata Media 100

Snowflake

APRIL 16, 2025

This major enhancement brings the power to analyze images and other unstructured data directly into Snowflakes query engine, using familiar SQL at scale. Unify your structured and unstructured data more efficiently and with less complexity. Introducing Cortex AI COMPLETE Multimodal , now in public preview.

Data Analysis 59

Data Analysis Unstructured Data Manufacturing Retail 59

Snowflake

DECEMBER 4, 2024

The trend to centralize data will accelerate, making sure that data is high-quality, accurate and well managed. Overall, data must be easily accessible to AI systems, with clear metadata management and a focus on relevance and timeliness.

Unstructured Data 97

Unstructured Data Data Lake Deep Learning Structured Data 97

Snowflake

JANUARY 29, 2025

Snowflake Cortex AI Snowflake Cortex AI is a suite of integrated features and services that include fully-managed LLM inference, fine-tuning, and RAG for structured and unstructured data, to enable customers to quickly analyze unstructured data alongside their structured data, and expedite the building of AI apps.

Unstructured Data 97

Unstructured Data SQL Python Government 97

Data Engineering Podcast

DECEMBER 11, 2022

Summary Data is one of the core ingredients for machine learning, but the format in which it is understandable to humans is not a useful representation for models. Embedding vectors are a way to structure data in a way that is native to how models interpret and manipulate information. images, audio, video, etc.)

Unstructured Data 100

Unstructured Data Machine Learning Data Engineer Data Engineering 100

Towards Data Science

DECEMBER 16, 2024

As training data becomes more scarce, companies like OpenAI believe that synthetic data will be an important part of how they train their models in the future. But is synthetic data a long-term solution? According to a report by IDC only about half of an organizations unstructured data is currently being analyzed.

Unstructured Data 80

Unstructured Data Data Food Data Engineer 80

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Monte Carlo

OCTOBER 31, 2024

Key Differences Between AI Data Engineers and Traditional Data Engineers While traditional data engineers and AI data engineers have similar responsibilities, they ultimately differ in where they focus their efforts. Challenges Faced by AI Data Engineers Just because “AI” involved doesn’t mean all the challenges go away!

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

Monte Carlo

MARCH 7, 2025

Unstructured data quality measures how well your non-tabular information meets the six critical dimensions of data quality : accuracy, completeness, integrity, validity, timeliness, and uniqueness. Heres what you need to knowand how you can start fixing your unstructured data issues today. The hidden costs?

Unstructured Data 52

Unstructured Data Structured Data Data Database 52

Cloudyard

JANUARY 15, 2025

Read Time: 2 Minute, 33 Second Snowflakes PARSE_DOCUMENT function revolutionizes how unstructured data, such as PDF files, is processed within the Snowflake ecosystem. Traditionally, this function is used within SQL to extract structured content from documents. Apply advanced data cleansing and transformation logic using Python.

Data Cleanse 52

Data Cleanse Insurance Raw Data Unstructured Data 52

Analytics Vidhya

FEBRUARY 25, 2023

Introduction A data lake is a centralized and scalable repository storing structured and unstructured data. The need for a data lake arises from the growing volume, variety, and velocity of data companies need to manage and analyze.

Cloud Storage 162

Cloud Storage Data Lake Cloud Unstructured Data 162

Data Engineering Weekly

FEBRUARY 9, 2025

[link] QuantumBlack: Solving data quality for gen AI applications Unstructured data processing is a top priority for enterprises that want to harness the power of GenAI. It brings challenges in data processing and quality, but what data quality means in unstructured data is a top question for every organization.

Data Engineer 57

Data Engineer Data Engineering Engineering Unstructured Data 57

Monte Carlo

JULY 15, 2024

We recently spoke with Killian Farrell , Principal Data Scientist at insurance startup AssuranceIQ to learn how his team built an LLM-based product to structure unstructured data and score customer conversations for developing sales and customer support teams. Read on to find out what they did, and what they learned!

Unstructured Data 94

Unstructured Data Insurance Data Lake Structured Data 94

Cloudera

JUNE 11, 2024

By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and objectives. Structured data is highly organized and formatted in a way that makes it easily searchable in databases and data warehouses.

Unstructured Data 93

Unstructured Data Pharmaceutical Banking Manufacturing 93

Monte Carlo

MARCH 3, 2025

The most common themes: Data readiness- You cant have good AI with bad data. On the structured data side of the house, teams are racing to achieve AI-Ready data. In other words, to create a central source of truth and reduce their data + AI downtime. Piecing them together is complexity squared.

Unstructured Data 52

Unstructured Data Data Cloud Computing Banking 52

Snowflake

JULY 10, 2023

“California Air Resources Board has been exploring processing atmospheric data delivered from four different remote locations via instruments that produce netCDF files. Previously, working with these large and complex files would require a unique set of tools, creating data silos. ” U.S.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Data Engineering Weekly

MARCH 5, 2025

The Catalog Conundrum: Beyond Structured Data The role of the catalog is evolving. Initially, catalogs focused on managing metadata for structured data in Iceberg tables. However, the vision is expanding to encompass unstructured data (images, videos, audio) and AI models.

Hadoop 57

Hadoop Metadata Data Ingestion Data Governance 57

Snowflake

NOVEMBER 2, 2023

Rather than defining schema upfront, a user can decide which data and schema they need for their use case. Snowflake has long supported semi-structured data types and file formats like JSON, XML, Parquet, and more recently storage and processing of unstructured data such as PDF documents, images, videos, and audio files.

Data Lake 115

Data Lake Data Warehouse Cloud Unstructured Data 115

Data Engineering Weekly

JULY 14, 2024

[link] Sponsored: 7/25 Amazon Bedrock Data Integration Tech Talk Streamline & scale data integration to and from Amazon Bedrock for generative AI applications. Senior Solutions Architect at AWS) Learn about: Efficient methods to feed unstructured data into Amazon Bedrock without intermediary services like S3.

Data Engineer 98

Data Engineer Data Engineering Engineering Unstructured Data 98

Snowflake

MARCH 18, 2024

By 2025 it’s estimated that there will be 7 petabytes of data generated every day compared with “just” 2.3 And it’s not just any type of data. The majority of it (80%) is now estimated to be unstructured data such as images, videos, and documents — a resource from which enterprises are still not getting much value.

Unstructured Data 111

Unstructured Data Government Cloud Data Pipeline 111

Snowflake

SEPTEMBER 19, 2023

AI unlocks new data use cases. With the ability to handle unstructured data types and larger volumes of data, AI gives us the tools to tackle more complex, exciting problems. I was looking at some statistic that at any typical company, more than 80% of the data is unstructured. Some takeaways?

Machine Learning 121

Machine Learning Unstructured Data Data Analytics Government 121

Data Engineering Weekly

JANUARY 12, 2025

[link] Gradient Flow: Paradigm Shifts in Data Processing for the Generative AI Era data processing pipelines haven't kept pace with the rapid advancement of AI models The article highlights the growing importance of preprocessing data pipelines, but the pipeline processing techniques do not match the demand.

Pipeline-centric 57

Pipeline-centric Data Engineer Data Engineering Engineering 57

Snowflake

JUNE 4, 2024

Generative AI presents enterprises with the opportunity to extract insights at scale from unstructured data sources, like documents, customer reviews and images. It also presents an opportunity to reimagine every customer and employee interaction with data to be done via conversational applications.

Data Security 121

Data Security Machine Learning Unstructured Data SQL 121

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies.

Cloud 105

Cloud Unstructured Data Metadata Government 105

Cloudera

MAY 14, 2024

This form of hybrid also goes a level deeper than one may find in a standard hybrid cloud, accounting for the entirety of the data lifecycle, whether that’s the point of ingestion, warehousing, or machine learning—even when that end-to-end data lifecycle is split between entirely different environments. Data comes in many forms.

Cloud 99

Cloud Data Governance Unstructured Data Data Architecture 99

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 112

IT Unstructured Data Data Architecture Government 112

Monte Carlo

FEBRUARY 12, 2024

To differentiate and expand the usefulness of these models, organizations must augment them with first-party data – typically via a process called RAG (retrieval augmented generation). Today, this first-party data mostly lives in two types of data repositories.

Database 72

Database Unstructured Data Data Pipeline Metadata 72

Snowflake

DECEMBER 11, 2024

Sports organizations deploy significant resources to collect mountains of data on fans, players and more. Legacy systems, old approaches and segmented data can make it challenging to mine and maximize results from structured data, like ticket or merchandise purchase transactions, and unstructured data, like game footage.

Unstructured Data 96

Unstructured Data Government Media Data 96

Snowflake

JUNE 5, 2024

Cortex AI Cortex Analyst: Enable business users to chat with data and get text-to-answer insights using AI Cortex Analyst, built with Meta’s Llama 3 and Mistral Large models, lets you get the insights you need from your structured data by simply asking questions in natural language.

Coding 115

Coding Building Management Government 115

Knowledge Hut

APRIL 23, 2024

Data warehouses are typically built using traditional relational database systems, employing techniques like Extract, Transform, Load (ETL) to integrate and organize data. Data warehousing offers several advantages. By structuring data in a predefined schema, data warehouses ensure data consistency and accuracy.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Cloudera

OCTOBER 28, 2021

In the last few years, Commercial Insurers have been making great strides in expanding the use of their data. The approach is very evolutionary; the initial focus tends to be aimed at cost savings and starts with structured data. Then there is a recognition that there is so much more that can be done with the data.

Insurance 97

Insurance Transportation Unstructured Data Manufacturing 97

Cloudera

SEPTEMBER 12, 2022

First, organizations have a tough time getting their arms around their data. More data is generated in ever wider varieties and in ever more locations. Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making.

Unstructured Data 75

Unstructured Data Data Lake Data Architecture Data 75

Snowflake

MAY 1, 2023

semantha uses a variety of Snowflake services—including Snowpark, Streamlit (for the UI), data sharing, UDFs, and the VARIANT data type—to offer AI services for semantic processing of unstructured data. “Being able to connect to this network and ‘tap into’ their minds is a crazy benefit we’d want to make the most of.”

Insurance 105

Insurance Unstructured Data Python Building 105

Cloudera

DECEMBER 11, 2020

It established a data governance framework within its enterprise data lake. Powered and supported by Cloudera, this framework brings together disparate data sources, combining internal data with public data, and structured data with unstructured data.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98