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

JANUARY 29, 2025

Account admins can restrict access by selecting the models approved per governance policies. Governance controls can be implemented consistently across data and AI. Guardrails strengthen governance by enforcing policies aligned to filter out harmful content. You dont have to manage integrations or API keys.

Unstructured Data 94

Unstructured Data SQL Python Government 94

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 61

Data Analysis Unstructured Data Manufacturing Retail 61

Cloudera

JANUARY 7, 2025

This transition streamlined data analytics workflows to accommodate significant growth in data volumes. By leveraging the Open Data Lakehouse’s ability to unify structured and unstructured data with built-in governance and security, the organization tripled its analyzed data volume within a year, boosting operational efficiency.

Cloud 82

Cloud Government AWS Unstructured Data 82

Snowflake

FEBRUARY 5, 2024

Unified data access, strong governance and robust security combined with technical expertise and a clear understanding of business objectives will be essential.” Financial services organizations need a modern data platform that allows them to anonymize data and share it without moving or copying it or risking the exposure of PII.

Unstructured Data 124

Unstructured Data Banking Government Insurance 124

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

Striim

MARCH 4, 2025

Thats not all: a single vulnerability in MOVEit led to 49 million records being compromisedimpacting government agencies, financial institutions, and healthcare organizations alike, with damages soaring into the billions. Their breach transformed personal customer data into a commodity traded on dark web forums.

Data Governance 40

Data Governance Government Healthcare NoSQL 40

Snowflake

NOVEMBER 11, 2024

Snowflake is committed to doing just that by continually adding features to help our customers simplify how they architect their data infrastructure. At BUILD 2024, we announced several enhancements and innovations designed to help you build and manage your data architecture on your terms. Here’s a closer look.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

Snowflake

MARCH 19, 2025

Explore AI and unstructured data processing use cases with proven ROI: This year, retailers and brands will face intense pressure to demonstrate tangible returns on their AI investments.

Retail 92

Retail Media Entertainment Unstructured Data 92

Snowflake

APRIL 22, 2025

To pile onto the challenge, the vast majority of any companys data is unstructured think PDFs, videos and images. So to capitalize on AI's potential, you need a platform that supports structured and unstructured data without compromising accuracy, quality and governance.

IT 53

IT Unstructured Data Government Cloud 53

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

Snowflake

JULY 25, 2024

Snowflake Cortex Search, a fully managed search service for documents and other unstructured data, is now in public preview. Solving the challenges of building high-quality RAG applications From the beginning, Snowflake’s mission has been to empower customers to extract more value from their data.

Unstructured Data 131

Unstructured Data Metadata Government SQL 131

Snowflake

APRIL 13, 2025

Clear guidelines and frameworks are essential to govern these intelligent agents' actions and ensure alignment with organizational values and ethical standards.

Data Management 90

Data Management Management Consulting Unstructured Data 90

Snowflake

APRIL 20, 2023

From inception, Snowflake has had a clear focus on security and governance of data by bringing compute to the data as opposed to creating new copies and additional silos. Figure 1: Visual Question Answering Challenge data types and results.

Building 138

Building Unstructured Data Government Coding 138

Snowflake

JANUARY 21, 2025

While agencies shift their talent and technology investments to areas such as retail media, creative economy and new video channels, they must also prioritize consumer data privacy and security, interoperation and data collaboration and transparency. More clients are asking about the security and governance of their customer data.

Media 96

Media Unstructured Data Data Retail 96

Snowflake

FEBRUARY 13, 2025

Despite most having security and governance features, these may require the customer to integrate multiple services to provide a comprehensive solution, or worse yet, may not be available in earlier versions of the product, forcing upgrades. As a result, data often went underutilized.

Management 85

Management Government Cloud Unstructured Data 85

Striim

APRIL 18, 2025

Business Intelligence Needs Fresh Insights: Data-driven organizations make strategic decisions based on dashboards, reports, and real-time analytics. If data is delayed, outdated, or missing key details, leaders may act on the wrong assumptions. Poor data management can lead to compliance risks, legal issues, and reputational damage.

High Quality Data 52

High Quality Data Business Intelligence Unstructured Data Data Pipeline 52

Hevo

JANUARY 17, 2025

Digital tools and technologies help organizations generate large amounts of data daily, requiring efficient governance and management. This is where the AWS data lake comes in. With the AWS data lake, organizations and businesses can store, analyze, and process structured and unstructured data of any size.

Data Lake 52

Data Lake AWS Unstructured Data Building 52

Snowflake

MARCH 19, 2024

We saw that collectively, organizations are definitely preparing their data to be used more effectively with powerful, new AI technologies. The most marked finding was around governance. Strong data governance is essential to meet security and compliance obligations, but it is often regarded as a hindrance.

Data Governance 124

Data Governance Government Unstructured Data Programming Language 124

Snowflake

FEBRUARY 6, 2024

Data marts built to serve specific analytic purposes perpetuated the distributed nature of data. The first step to breaking down internal silos is to establish enterprise-wide data repositories and governance policies that streamline and facilitate appropriate access.

Unstructured Data 126

Unstructured Data Retail Data Manufacturing 126

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

Precisely

SEPTEMBER 6, 2023

.” Poor data quality impedes the success of data programs, hampers data integration efforts, limits data integrity causing big data governance challenges. To truly succeed in an increasingly data-driven world, organizations need data governance. The results are clear.

Data Governance 52

Data Governance Big Data Government Unstructured Data 52

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 110

Unstructured Data Government Cloud Data Pipeline 110

RandomTrees

NOVEMBER 25, 2024

The considerable amount of unstructured data required Random Trees to create AI models that ensure privacy and data handling. Overcoming Implementation Challenges The project faced some difficulties along the way.

Telecommunication 52

Telecommunication IT Unstructured Data Data Mining 52

Data Engineering Weekly

MARCH 5, 2025

Infrastructure Management: Setting up and maintaining an Iceberg-based data lakehouse requires expertise in infrastructure-as-code, monitoring, observability, and data governance. What are your data governance and security requirements? Are you prioritizing performance, cost, or both?

Hadoop 57

Hadoop Metadata Data Ingestion Data Governance 57

Cloudera

OCTOBER 26, 2020

Not a day goes by without virtual conversations, creating masses of unstructured data. To be able to capitalize on this data storm, organizations must find a better balance between the security and usability related to data access. Eliminate compromise with Cloudera Shared Data Experience.

Data Security 119

Data Security IT Unstructured Data Government 119

Snowflake

JANUARY 8, 2024

While the possibilities of gen AI and large language models (LLMs) are limitless, there are several data challenges and risks financial executives need to be aware of when implementing AI that generates original content. Access to high-quality source data, strong governance controls and robust security are paramount.

Unstructured Data 110

Unstructured Data Portfolio Government Insurance 110

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. But now this enables a newer kind of insights from all this unstructured data that has been untapped so far.

Machine Learning 120

Machine Learning Unstructured Data Data Analytics Government 120

Cloudera

AUGUST 4, 2021

By capturing and analyzing this data, agencies can learn how external forces are affecting fleet operation, including everything from weather, terrain, and loading to operator actions such as hard acceleration or braking. Cloudera is foundational in how we track and govern our data.” .

Unstructured Data 98

Unstructured Data Data Ingestion Government Machine Learning 98

Snowflake

OCTOBER 26, 2023

Gen AI can also analyze unstructured data sets, such as clinical notes, diagnostic imaging and recordings and provide evidence-based recommendations. When the structured and unstructured data is in one place, it’s easier to develop and enforce firm quality control standards and establish validation protocols for AI-generated content.

Healthcare 105

Healthcare Unstructured Data High Quality Data Medical 105

Cloudera

JUNE 7, 2022

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

Snowflake

NOVEMBER 1, 2023

They can also use and leverage Snowflake’s unified governance framework to seamlessly secure and manage access to their data. Cost-effective LLM-based models that are great for working with unstructured data: Answer Extraction (in private preview): Extract information from your unstructured data.

Unstructured Data 126

Unstructured Data SQL Python Accessibility 126

RandomTrees

SEPTEMBER 17, 2024

In the realm of big data and AI, managing and securing data assets efficiently is crucial. Databricks addresses this challenge with Unity Catalog, a comprehensive governance solution designed to streamline and secure data management across Databricks workspaces. What is Unity Catalog? Advantages of the Unity Catalog 1.

Data Governance 52

Data Governance Government Metadata Machine Learning 52

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

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

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 120

Data Security Machine Learning Unstructured Data SQL 120

Cloudera

OCTOBER 29, 2020

More importantly, from a security and governance perspective, native integration with CDP means SSO for authentication and seamless integration with Cloudera Shared Data Experience (SDX) to manage user access and governance. With DV, users login with their CDP credentials and start analyzing data that they have access to.

Machine Learning 111

Machine Learning Data Warehouse Unstructured Data Government 111