O'Reilly on Data

NOVEMBER 19, 2024

Entity resolution merges the entities which appear consistently across two or more structured data sources, while preserving evidence decisions. A generalized, unbundled workflow A more accountable approach to GraphRAG is to unbundle the process of knowledge graph construction, paying special attention to data quality.

Unstructured Data 292

Unstructured Data Structured Data Modeling Statistics 292

Analytics Vidhya

APRIL 26, 2023

Introduction Document information extraction involves using computer algorithms to extract structured data (like employee name, address, designation, phone number, etc.) from unstructured or semi-structured documents, such as reports, emails, and web pages.

Structured Data 306

Structured Data Visualization Reporting Analytics 306

Sisense

APRIL 26, 2020

Different types of information are more suited to being stored in a structured or unstructured format. Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

CIO Business Intelligence

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Semi-structured data falls between the two.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

Smart Data Collective

AUGUST 28, 2021

Data Warehouses and Data Lakes in a Nutshell. A data warehouse is used as a central storage space for large amounts of structured data coming from various sources. On the other hand, data lakes are flexible storages used to store unstructured, semi-structured, or structured raw data.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Structured Data 140

CIO Business Intelligence

JULY 16, 2024

The second is “Where is this data?” Let’s explore some of the common data types that present challenges – and how to solve them for AI. Structured data Structured data is often the first type of data that comes to mind when people think about databases.

Unstructured Data 105

Unstructured Data Structured Data Machine Learning Enterprise 105

CIO Business Intelligence

FEBRUARY 6, 2025

They promise to revolutionize how we interact with data, generating human-quality text, understanding natural language and transforming data in ways we never thought possible. From automating tedious tasks to unlocking insights from unstructured data, the potential seems limitless.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

DECEMBER 14, 2023

Salesforce is updating its Data Cloud with vector database and Einstein Copilot Search capabilities in an effort to help enterprises use unstructured data for analysis. The Einstein Trust Layer is based on a large language model (LLM) built into the platform to ensure data security and privacy.

Unstructured Data 116

Unstructured Data Structured Data Enterprise Business Intelligence 116

Smart Data Collective

SEPTEMBER 23, 2020

We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Both data warehouses and data lakes are used when storing big data. Many people are confused about these two, but the only similarity between them is the high-level principle of data storing.

Data Lake 135

Data Lake Data Warehouse Unstructured Data Big Data 135

CIO Business Intelligence

OCTOBER 30, 2023

This infrastructure must be suited to handle extreme data growth, especially with unstructured data. An estimated 90% of the global datasphere is comprised of unstructured data 1. And it’s growing rapidly, estimated at 55-65% 2 year-over-year and three times faster than structured data.

Unstructured Data 143

Unstructured Data Optimization Data-driven Strategy 143

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.

Data Lake 178

Data Lake Unstructured Data Management Analytics 178

AWS Big Data

FEBRUARY 29, 2024

First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses. As part of the transformation, the objects need to be treated to ensure data privacy (for example, PII redaction).

Data Governance 123

Data Governance Unstructured Data Metadata Data Lake 123

CIO Business Intelligence

JANUARY 24, 2024

“Similar to disaster recovery, business continuity, and information security, data strategy needs to be well thought out and defined to inform the rest, while providing a foundation from which to build a strong business.” Overlooking these data resources is a big mistake. What are the goals for leveraging unstructured data?”

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

AWS Big Data

MAY 28, 2024

Large language models (LLMs) such as Anthropic Claude and Amazon Titan have the potential to drive automation across various business processes by processing both structured and unstructured data. Redshift Serverless is a fully functional data warehouse holding data tables maintained in real time.

Unstructured Data 118

Unstructured Data Data Warehouse Structured Data Testing 118

CIO Business Intelligence

MARCH 9, 2022

As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

Smart Data Collective

SEPTEMBER 16, 2022

Big Data in finance refers to huge arrays of structured and unstructured data that can be used by banks and financial institutions to predict consumer behavior and develop strategies. Fintech in particular is being heavily affected by big data. Among them are distinguished: Structured data.

Finance 130

Finance Unstructured Data Cost-Benefit Big Data 130

CIO Business Intelligence

SEPTEMBER 12, 2024

Organizational data is diverse, massive in size, and exists in multiple formats (paper, images, audio, video, emails, and other types of unstructured data, as well as structured data) sprawled across locations and silos. Every AI journey begins with the right data foundation—arguably the most challenging step.

Unstructured Data 119

Unstructured Data Data Quality Structured Data Machine Learning 119

CIO Business Intelligence

OCTOBER 19, 2023

Enterprises can harness the power of continuous information flow by lessening the gap between traditional architecture and dynamic data streams. Unstructured data formatting issues Increasing data volume gets more challenging because it has large volumes of unstructured data.

Data Integration 126

Data Integration Unstructured Data Data-driven Data Warehouse 126

CIO Business Intelligence

NOVEMBER 22, 2024

Soumya Seetharam, CDIO at Corning, said the manufacturer has been on its data journey for a few years, with more than 70% of its business transaction data being ingested into a data platform. But that’s only structured data, she emphasized.

Unstructured Data 136

Unstructured Data Testing Modeling Enterprise 136

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.

Enterprise 93

Enterprise Unstructured Data Contextual Data Data-driven 93

AWS Big Data

DECEMBER 19, 2024

Amazon DataZone , a data management service, helps you catalog, discover, share, and govern data stored across AWS, on-premises systems, and third-party sources. For example, Genentech, a leading biotechnology company, has vast sets of unstructured gene sequencing data organized across multiple S3 buckets and prefixes.

Publishing 97

Publishing Unstructured Data Metadata Data-driven 97

CIO Business Intelligence

SEPTEMBER 19, 2024

Alation also works with structured and semi-structured data, as well as some unstructured data living inside of file stores, Sangani said, and will leverage what metadata it can find, but it does not, for example, go into video files and generate metadata about their contents.

Data Governance 123

Data Governance Metadata Unstructured Data Structured Data 123

Smart Data Collective

FEBRUARY 3, 2021

Progress made in computing and analytics has enabled financial experts to analyze data that was impossible to analyze a decade ago. Ten years ago, computers used to focus on analyzing structured data alone. Such data could be easily organized, quantified, or laid out in a certain way.

Big Data 140

Big Data Marketing Data Analytics Analytics 140

CIO Business Intelligence

FEBRUARY 20, 2024

Data remains siloed in facilities, departments, and systems –and between IT and OT networks (according to a report by The Manufacturer , just 23% of businesses have achieved more than a basic level of IT and OT convergence). Denso uses AI to verify the structuring of unstructured data from across its organisation.

Data Architecture 98

Data Architecture Unstructured Data Manufacturing IT 98

CIO Business Intelligence

AUGUST 21, 2024

Gartner estimates unstructured content makes up 80% to 90% of all new data and is growing three times faster than structured data 1. The ability to effectively wrangle all that data can have a profound, positive impact on numerous document-intensive processes across enterprises. 20, 2023.

Insurance 122

Insurance Unstructured Data Structured Data Enterprise 122

CIO Business Intelligence

OCTOBER 2, 2024

A “state-of-the-art” data and analytics enablement platform can vastly improve identity resolution, helping to prevent fraud. Ideally, it will link structured data like traditional offline identities with unstructured data, including behavioral information, device properties, and other factors.

Analytics 115

Analytics Unstructured Data Interactive Data Governance 115

BizAcuity

MARCH 29, 2019

Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. The power of the data lake lies in the fact that it often is a cost-effective way to store data. In the future of healthcare, data lake is a prominent component, growing across the enterprise.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

CIO Business Intelligence

FEBRUARY 16, 2023

The Basel, Switzerland-based company, which operates in more than 100 countries, has petabytes of data, including highly structured customer data, data about treatments and lab requests, operational data, and a massive, growing volume of unstructured data, particularly imaging data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

Smart Data Collective

SEPTEMBER 26, 2019

For example, you can organize an employee table in a database in a structured manner to capture the employee’s details, job positions, salary, etc. Unstructured. Unstructured data lacks a specific format or structure. As a result, processing and analyzing unstructured data is super-difficult and time-consuming.

Big Data 101

Big Data Software Unstructured Data Data Integration 101

CIO Business Intelligence

NOVEMBER 20, 2023

Further, AI-powered natural language processing can assist in the organization and capture of written and verbal patient medical records, reducing the administrative load on healthcare providers and creating a structured data approach that can be used to identify trends and facilitate discoveries. View the TGen customer case study.

Cost-Benefit 132

Cost-Benefit Unstructured Data Structured Data Modeling 132

AWS Big Data

SEPTEMBER 12, 2024

ZS unlocked new value from unstructured data for evidence generation leads by applying large language models (LLMs) and generative artificial intelligence (AI) to power advanced semantic search on evidence protocols. Clinical documents often contain a mix of structured and unstructured data.

Unstructured Data 110

Unstructured Data Metadata Machine Learning Consulting 110

CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

CIO Business Intelligence

MARCH 29, 2024

As such, paramount to Rocket’s AI push is the creation of a modern data platform that incorporates 10,000 terabytes of data stored in on-prem data warehouses for more than a decade and semi-structured data stored in an AWS cloud lake.

Data Lake 134

Data Lake Machine Learning Data Warehouse Unstructured Data 134

CIO Business Intelligence

MAY 10, 2024

Because of this, NoSQL databases allow for rapid scalability and are well-suited for large and unstructured data sets. Introduced in the late 1990s as the Big Data era emerged, NoSQL remains a key way for organizations to handle large swaths of data.

IT 130

IT Unstructured Data Software Reporting 130

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.

Data Architecture 99

Data Architecture Data Governance Unstructured Data Structured Data 99

CIO Business Intelligence

APRIL 25, 2024

Zero-copy integration eliminates the need for manual data movement, preserving data lineage and enabling centralized control fat the data source. Currently, Data Cloud leverages live SQL queries to access data from external data platforms via zero copy. Ground generative AI.

Data Integration 119

Data Integration Data Lake Data Warehouse Metadata 119

Domino Data Lab

AUGUST 9, 2021

Machine learning identifies patterns in data using algorithms that are primarily based on traditional methods of statistical learning. It’s most helpful in analyzing structured data. Based on the concept of neural networks, it’s useful for analyzing images, videos, text and other unstructured data.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111