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

NOVEMBER 11, 2024

At BUILD 2024, we announced several enhancements and innovations designed to help you build and manage your data architecture on your terms. Data stewards can also set up Request for Access (private preview) by setting a new visibility property on objects along with contact details so the right person can easily be reached to grant access.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

Snowflake

FEBRUARY 5, 2024

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. Increasingly, financial institutions will monetize their data through apps and data marketplaces.

Unstructured Data 126

Unstructured Data Banking Government Insurance 126

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

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 If data is delayed, outdated, or missing key details, leaders may act on the wrong assumptions.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

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

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

RandomTrees

SEPTEMBER 17, 2024

Unified Governance: It offers a comprehensive governance framework by supporting notebooks, dashboards, files, machine learning models, and both organized and unstructured data. This integration ensures that data governance is cohesive and consistent across all aspects of the data workflow.

Data Governance 52

Data Governance Government Metadata Machine Learning 52

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. Getting to value means delivering it to those who can make sense of it: the end-users.

Data Security 119

Data Security IT Unstructured Data Government 119

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

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. Some takeaways?

Machine Learning 121

Machine Learning Unstructured Data Data Analytics Government 121

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 115

Cloud Banking Data Governance Government 115

Snowflake

JANUARY 25, 2024

It’s essential for organizations to leverage vast amounts of structured and unstructured data for effective generative AI (gen AI) solutions that deliver a clear return on investment. Get the full report, Healthcare and Life Sciences Data + AI Predictions 2024 or watch the webinar.

Healthcare 115

Healthcare Hospitality Electronics Medical 115

Cloudera

OCTOBER 5, 2023

Your organization is not alone — many organizations struggle to move towards data as the cornerstone of their organization. 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.

Data Governance 84

Data Governance Unstructured Data Government High Quality Data 84

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

Snowflake

JULY 9, 2024

To better understand a customer’s current data reality we ask a series of questions: Do you have access to all of your internal data? Have you unlocked data from existing applications, systems or business unit silos? Have you transformed your unstructured data into structured, usable data?

Government 110

Government Education Data Governance Unstructured Data 110

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . DVC — Open-source Version Control System for Machine Learning Projects … data version control. Process Analytics.

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120

The Modern Data Company

JANUARY 22, 2024

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

Cloudera

FEBRUARY 15, 2024

By leveraging cutting-edge technology and an efficient framework for managing, analyzing, and securing data, financial institutions can streamline operations and enhance their ability to meet compliance requirements efficiently, while maintaining a strong focus on risk management.

Insurance 88

Insurance Banking Data Architecture Data Ingestion 88

The Modern Data Company

JANUARY 22, 2024

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

Snowflake

SEPTEMBER 21, 2023

The data driving the provider’s application is stored and processed in the provider’s own Snowflake account. Beyond delivering powerful analytical experiences, providers differentiate their products by offering live, ready-to-query data to their customers through the Snowflake Data Cloud.

Google Cloud 114

Google Cloud Unstructured Data Technology Data 114

Data Engineering Weekly

DECEMBER 16, 2024

Databricks' acquisition of Tabular and the subsequent open-sourcing of Unity Catalog , followed by Snowflake's release of the open-source Polaris Catalog , marked a significant shift in the industry's data governance and discovery approach.

Data Engineering 62

Data Engineering Data Engineer Engineering Unstructured Data 62

Snowflake

NOVEMBER 29, 2023

While the former can be solved by tokenization strategies provided by external vendors, the latter mandates the need for patient-level data enrichment to be performed with sufficient guardrails to protect patient privacy, with an emphasis on auditability and lineage tracking.

Metadata 117

Metadata Healthcare Medical Data Storage 117

Cloudera

OCTOBER 7, 2021

Infrastructure Environment: The infrastructure (including private cloud, public cloud or a combination of both) that hosts application logic and data. The Data Governance body designates a Data Product as the Authoritative Data Source (ADS) and its Data Publisher as the Authoritative Provisioning Point (APP).

Architecture 124

Architecture Metadata Kafka Government 124

Precisely

MARCH 7, 2024

Yet experts warn that without proactive attention to data quality and data governance, AI projects could face considerable roadblocks. AI technology can ingest and synthesize large volumes of both structured and unstructured data very quickly, offering claims guidance that helps adjusters to better assess cases.

Insurance 72

Insurance Process Medical Data Governance 72

Cloudera

AUGUST 8, 2024

Cloudera’s data lakehouse provides enterprise users with access to structured, semi-structured, and unstructured data, enabling them to analyze, refine, and store various data types, including text, images, audio, video, system logs, and more.

Pharmaceutical 72

Pharmaceutical Unstructured Data Government Data Ingestion 72

Cloudera

AUGUST 21, 2024

The root of the problem comes down to trusted data. 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 66

Unstructured Data Business Intelligence Data Architecture Data Warehouse 66

Snowflake

JUNE 27, 2023

Supporting mission criticality with enhanced native data governance, new Snowflake UIs, a growing compliance footprint, and updated cross-cloud business continuity At Snowflake, we’re committed to providing best-in-class native data governance features for customers entrusting our platform with their data.

Data Governance 59

Data Governance Unstructured Data Government SQL 59

Cloudera

JULY 29, 2022

Currently, 94% of APAC FSI senior business decision makers see the value of secure, centralized governance over the entire data lifecycle. . Cloudera is well positioned to support organizations in transitioning towards a modern data architecture and implementing an effective enterprise data strategy.

Data Architecture 89

Data Architecture Architecture Unstructured Data Government 89

Towards Data Science

DECEMBER 4, 2023

We’ll build a data architecture to support our racing team starting from the three canonical layers : Data Lake, Data Warehouse, and Data Mart. Data Lake A data lake would serve as a repository for raw and unstructured data generated from various sources within the Formula 1 ecosystem: telemetry data from the cars (e.g.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Lake 98

Knowledge Hut

DECEMBER 22, 2023

Statistics are used by data scientists to collect, assess, analyze, and derive conclusions from data, as well as to apply quantifiable mathematical models to relevant variables. Microsoft Excel An effective Excel spreadsheet will arrange unstructured data into a legible format, making it simpler to glean insights that can be used.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

The Modern Data Company

MAY 8, 2023

Potential downsides of data lakes include governance and integration challenges. Data lakes often lack robust data governance, leading to data quality, consistency, and security issues. Data Lakehouse: Bridging Data Worlds A data lakehouse combines the best features of data lakes and data warehouses.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

Potential downsides of data lakes include governance and integration challenges. Data lakes often lack robust data governance, leading to data quality, consistency, and security issues. Data Lakehouse: Bridging Data Worlds A data lakehouse combines the best features of data lakes and data warehouses.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

Potential downsides of data lakes include governance and integration challenges. Data lakes often lack robust data governance, leading to data quality, consistency, and security issues. Data Lakehouse: Bridging Data Worlds A data lakehouse combines the best features of data lakes and data warehouses.

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

Precisely

SEPTEMBER 30, 2024

Data enrichment adds context to existing information, enabling business leaders to draw valuable new insights that would otherwise not have been possible. Managing an increasingly complex array of data sources requires a disciplined approach to integration, API management, and data security.

Data Governance 52

Data Governance Insurance Government Machine Learning 52

Data Engineering Weekly

MARCH 3, 2024

link] AWS: Data governance in the age of generative AI The AWS Big Data Blog discusses the importance of data governance in the age of generative AI, emphasizing the need for robust data management strategies to ensure data quality, privacy, and security across structured and unstructured data sources.

Data Engineering 67

Data Engineering Data Engineer Engineering Pipeline-centric 67