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 111

Unstructured Data Metadata Government SQL 111

Snowflake

FEBRUARY 6, 2024

Break down internal silos to access cross-functional sources. Historically, data was isolated within applications or systems distributed across an organization. Data marts built to serve specific analytic purposes perpetuated the distributed nature of data. Transform unstructured data to expand available internal data.

Unstructured Data 105

Unstructured Data Retail Data Manufacturing 105

Snowflake

JUNE 28, 2023

This empowers organizations to break free from the burdensome task of spinning up and managing complex standalone systems operating outside of Snowflake’s governance boundary. Python Unstructured Data Processing (PuPr) – Unstructured data processing is now natively supported with Python.

Python 52

Python Accessible Accessibility Pipeline-centric 52

Cloudera

NOVEMBER 15, 2024

Unstructured data not ready for analysis: Even when defenders finally collect log data, it’s rarely in a format that’s ready for analysis. Cyber logs are often unstructured or semi-structured, making it difficult to derive insights from them.

Metadata 82

Metadata Unstructured Data Data Lake Government 82

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 82

Data Architecture Architecture Data Lake Kafka 82

Snowflake

OCTOBER 26, 2023

But while the potential is theoretically limitless, there are a number of data challenges and risks HCLS executives need to be aware of when using AI that can create new content. Here’s how the right data strategy can help you get past the hazards and hurdles to implementing gen AI.

Healthcare 86

Healthcare Unstructured Data High Quality Data Medical 86

Snowflake

NOVEMBER 1, 2023

For organizations to fully capitalize on this potential, it’s critical that everyone — not just those with AI expertise — is able to access and use generative AI. With just a single line of SQL or Python, analysts can instantly access specialized ML and LLM models tuned for specific tasks. These functions include the ones listed below.

Unstructured Data 108

Unstructured Data SQL Python Accessible 108

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 97

Cloud Data Governance Unstructured Data Data Architecture 97

Snowflake

SEPTEMBER 19, 2023

Why AI has everyone’s attention, what it means for different data roles, and how Alteryx and Snowflake are bringing AI to data use cases There’s a llama on the loose! With all the hoopla around AI, there’s a lot to get up to speed on—especially the implications this technology has for data analytics.

Machine Learning 98

Machine Learning Unstructured Data Data Analytics Government 98

Cloudera

NOVEMBER 15, 2024

Unstructured data not ready for analysis: Even when defenders finally collect log data, it’s rarely in a format that’s ready for analysis. Cyber logs are often unstructured or semi-structured, making it difficult to derive insights from them.

Metadata 59

Metadata Unstructured Data Data Lake Government 59

Cloudera

DECEMBER 19, 2023

Earlier this month, I had the opportunity to lead a roundtable discussion at the PSN Government Innovation show ( 2023 Government Innovation Show – Federal – Public Sector Network ) in Washington, DC. I’ll highlight some key insights and takeaways from my conversations in the paragraphs that follow. The underlying reason?

Government 88

Government Education Unstructured Data Algorithm 88

Snowflake

SEPTEMBER 7, 2023

We are excited to announce the public preview of External Access, which enables customers to reach external endpoints from Snowpark seamlessly and securely. With this announcement, External Access is in public preview on Amazon Web Services (AWS) regions.

Amazon Web Services 119

Amazon Web Services AWS Government Python 119

Snowflake

JULY 9, 2024

Assess your current reality In recent strategy workshops with customers, we’ve focused on assessing four areas: data access, analytics and AI capabilities, organizational structure, and culture and communication. As we all know there is no AI strategy without a data strategy, so we start with the data.

Government 84

Government Education Data Governance Unstructured Data 84

Cloudera

FEBRUARY 15, 2024

Risk management and governance: Regulators are increasingly focusing on risk governance, risk sustainability, and the detection, mitigation, tracking, and remediation of threat actors. Financial institutions must demonstrate robust risk accountability and governance, as well as maintain consumer protections.

Insurance 87

Insurance Banking Data Architecture Data Ingestion 87

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 ofbuilding high-quality RAG applications From the beginning, Snowflake’s mission has been to empower customers to extract more value from their data.

Unstructured Data 52

Unstructured Data Metadata Government Database 52

Cloudera

AUGUST 21, 2024

Pockets and siloes of disparate data can accumulate across an enterprise or legacy data warehouses may not be equipped to properly manage a sea of structured and unstructured data at scale.

Unstructured Data 64

Unstructured Data Business Intelligence Data Architecture Data Warehouse 64

Cloudera

MARCH 17, 2023

The one key component that is missing is a common, shared table format, that can be used by all analytic services accessing the lakehouse data. The table format provides the necessary structure for the unstructured data that is missing in a data lake, using a schema or metadata definition, to bring it closer to a data warehouse.

Education 64

Education Unstructured Data Data Lake Data Warehouse 64

Cloudera

OCTOBER 5, 2023

Here are five challenges that you need to overcome to become a data leader: Bad data governance Your insights are only as good as your data. If your data is full of errors, missing information and duplications, then your results will not be accurate. Data now becomes a product.

Data Governance 82

Data Governance Unstructured Data Government High Quality Data 82

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 110

IT Unstructured Data Data Architecture Government 110

Cloudera

OCTOBER 26, 2020

Just like when it comes to data access in business. Enabling data access for end-users so they can drive insight and business value is a typical area of compromise between IT and users. Data access can either be very secure but restrictive or very open yet risky. Quickly onboard data.

Data Security 117

Data Security IT Unstructured Data Government 117

Snowflake

JUNE 5, 2024

It provides access to industry-leading large language models (LLMs), enabling users to easily build and deploy AI-powered applications. By using Cortex, enterprises can bring AI directly to the governed data to quickly extend access and governance policies to the models.

Coding 90

Coding Building Management Government 90

Snowflake

NOVEMBER 29, 2023

In medicine, lower sequencing costs and improved clinical access to NGS technology has been shown to increase diagnostic yield for a range of diseases, from relatively well-understood Mendelian disorders, including muscular dystrophy and epilepsy , to rare diseases such as Alagille syndrome.

Metadata 87

Metadata Healthcare Medical Data Storage 87

Snowflake

NOVEMBER 2, 2023

Use cases change, needs change, technology changes – and therefore data infrastructure should be able to scale and evolve with change. We’re committed to giving customers a choice and the ability to adapt while maintaining our core tenets of strong security and governance, excellent performance and simplicity.

Data Lake 94

Data Lake Data Warehouse Cloud Unstructured Data 94

U-Next

MARCH 12, 2023

As long as a device is equipped with the internet, it can access the data and software programs required to run them. A web data center server’s hardware and operating system are called a “cloud platform.” Customers with an Azure subscription get access to all the services offered through the Azure site.

Cloud Computing 75

Cloud Computing Unstructured Data Cloud Government 75

Snowflake

APRIL 10, 2023

The platform pushes the boundaries of natural language processing (NLP) with a diverse, rapidly expanding (and almost limitless) number of use cases that extends from automotive manufacturing and chemicals to HR, insurance, legal, finance, and government. It also includes specific models for language combinations.

Unstructured Data 59

Unstructured Data Manufacturing Insurance Government 59

The Modern Data Company

MAY 8, 2023

One of the most interesting features of a data lake is the “schema-on-read” principle, which means the data schema (the structure and organization of the data) is applied when the data is read or accessed rather than stored. This feature allows for a more flexible exploration of data.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

One of the most interesting features of a data lake is the “schema-on-read” principle, which means the data schema (the structure and organization of the data) is applied when the data is read or accessed rather than stored. This feature allows for a more flexible exploration of data.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

One of the most interesting features of a data lake is the “schema-on-read” principle, which means the data schema (the structure and organization of the data) is applied when the data is read or accessed rather than stored. This feature allows for a more flexible exploration of data.

Data Management 52

Data Management Management Data Lake Data Governance 52

Knowledge Hut

APRIL 23, 2024

They also facilitate historical analysis, as they store long-term data records that can be used for trend analysis, forecasting, and decision-making. Big Data In contrast, big data encompasses the vast amounts of both structured and unstructured data that organizations generate on a daily basis.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Cloudera

JANUARY 28, 2022

Then there are the more extensive discussions – scrutiny of the overarching, data strategy questions related to privacy, security, data governance /access and regulatory oversight. These are not straightforward decisions, especially when data breaches always hit the top of the news headlines.

Cloud 113

Cloud Banking Data Governance Government 113

Cloudera

SEPTEMBER 12, 2022

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. And second, for the data that is used, 80% is semi- or unstructured. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse.

Unstructured Data 74

Unstructured Data Data Lake Data Architecture Data 74

Cloudera

JUNE 12, 2024

The Opportunities are Compelling, but Significant Challenges Must be Addressed Data privacy and security in the financial sector demand rigorous protection measures for sensitive information. This includes robust encryption, stringent access controls and advanced anonymization techniques to ensure financial data remains secure.

Finance 75

Finance Portfolio Government Unstructured Data 75

Striim

SEPTEMBER 11, 2024

Understanding the essential components of data pipelines is crucial for designing efficient and effective data architectures. Data warehouses offer high performance and scalability, enabling organizations to manage large volumes of structured data efficiently.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Cloudera

DECEMBER 11, 2020

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. The sudden rise in remote working, a huge influx in data as the world turned digital, not to mention the never-ending list of regulations businesses need to remain compliant with (how many acronyms can you name in full?

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Cloudera

JULY 29, 2021

Securely protecting healthcare data is critical for your organization’s success, whether data is ingested, streamed and stored in a data platform that runs in the public, private or hybrid cloud. Security and governance in a hybrid environment. Public, private, hybrid or on-premise data management platform.

Healthcare 101

Healthcare Unstructured Data Government Machine Learning 101

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 109

Machine Learning Unstructured Data Data Warehouse Government 109

Knowledge Hut

APRIL 26, 2024

So, you may have tons and tons of data that represents a particular problem. Datasets may also be confidential as they may contain sensitive information pertaining to a product, organization or government. Data is not available in a specific format. The datasets for the public Government are as follows.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98