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

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 now becomes a product.

Data Governance 83

Data Governance Unstructured Data Government High Quality Data 83

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 79

Data Architecture Architecture Data Lake Kafka 79

Monte Carlo

OCTOBER 10, 2024

Let’s dive into the responsibilities, skills, challenges, and potential career paths for an AI Data Quality Analyst today. Table of Contents What Does an AI Data Quality Analyst Do? Handling unstructured data Many AI models are fed large amounts of unstructured data, making data quality management complex.

Unstructured Data 52

Unstructured Data Google Cloud Machine Learning ETL Tools 52

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

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 Data Lake Management 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 Data Lake Management 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 Data Lake Management Data Governance 52

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 64

Unstructured Data Business Intelligence Data Architecture Data Warehouse 64

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

Databand.ai

JULY 19, 2023

Data lineage tools are not a new concept. However, their importance has grown significantly in recent years due to the increasing complexity of data architectures and the growing need for data governance and compliance. In this article: Why Are Data Lineage Tools Important?

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

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 86

Government Education Data Governance Unstructured Data 86

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. Data security and governance aren’t the only reasons leading organizations will take this approach.

Healthcare 93

Healthcare Hospitality Electronics Medical 93

RandomTrees

SEPTEMBER 27, 2024

This eliminates the need to make multiple copies of data assets. Unified data platform: One Lake provides a unified platform for all data types, including structured, semi-structured, and unstructured data.

Database-centric 52

Database-centric Pipeline-centric IT BI 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 Engineer 67

Data Engineer Data Engineering Engineering Pipeline-centric 67

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 117

Data Security IT Unstructured Data Government 117

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 99

Machine Learning Unstructured Data Data Analytics Government 99

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

Precisely

MAY 13, 2024

The right data integration solution helps you streamline operations, enhance data quality, reduce costs, and make better data-driven decisions. It synthesizes all the metadata around your organization’s data assets and arranges the information into a simple, easy-to-understand format.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

The Modern Data Company

MAY 10, 2023

Data governance and security: Evaluate the native security, data governance, and data quality management features. Because data lakes can have performance limitations for these use cases, a data warehouse may be a better fit. Data warehouses offer the optimized performance you need.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

Data governance and security: Evaluate the native security, data governance, and data quality management features. Because data lakes can have performance limitations for these use cases, a data warehouse may be a better fit. Data warehouses offer the optimized performance you need.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

Data governance and security: Evaluate the native security, data governance, and data quality management features. Because data lakes can have performance limitations for these use cases, a data warehouse may be a better fit. Data warehouses offer the optimized performance you need.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Cloudera

JUNE 22, 2023

It ensures compliance with regulatory requirements while shifting non-sensitive data and workloads to the cloud. Its built-in intelligence automates common data management and data integration tasks, improves the overall effectiveness of data governance, and permits a holistic view of data across the cloud and on-premises environments.

Data Cleanse 64

Data Cleanse Data Governance Unstructured Data Cloud Storage 64

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

Monte Carlo

FEBRUARY 21, 2023

A data fabric isn’t a standalone technology—it’s a data management architecture that leverages an integrated data layer atop underlying data in order to empower business leaders with real-time analytics and data-driven insights. That’s a model worth looking at when it comes to data governance,” says Bob.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

A data fabric isn’t a standalone technology—it’s a data management architecture that leverages an integrated data layer atop underlying data in order to empower business leaders with real-time analytics and data-driven insights. That’s a model worth looking at when it comes to data governance,” says Bob.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

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 88

Metadata Healthcare Medical Data Storage 88

Knowledge Hut

MARCH 28, 2024

Role Level Advanced Responsibilities Design and architect data solutions on Azure, considering factors like scalability, reliability, security, and performance. Develop data models, data governance policies, and data integration strategies. GDPR, HIPAA), and industry standards.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

Databand.ai

JULY 19, 2023

Unlike the traditional Extract, Transform, Load (ETL) process, where transformations are performed before the data is loaded into the data warehouse, in ELT, transformations are performed after the data is loaded. Implementing Strong Data Governance Measures Implementing strong data governance measures is crucial in ELT.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

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

AltexSoft

JUNE 26, 2023

From the perspective of data science, all miscellaneous forms of data fall into three large groups: structured, semi-structured, and unstructured. Key differences between structured, semi-structured, and unstructured data. Unstructured data represents up to 80-90 percent of the entire datasphere.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Monte Carlo

MAY 14, 2024

Depending on the quantity of data flowing through an organization’s pipeline — or the format the data typically takes — the right modern table format can help to make workflows more efficient, increase access, extend functionality, and even offer new opportunities to activate your unstructured data.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Monte Carlo

JANUARY 16, 2024

Data lake and data warehouse convergence The data lake vs data warehouse question is constantly evolving. The maxim that data warehouses hold structured data while data lakes hold unstructured data is quickly breaking down. How will data governance be handled?

Data Lake 52

Data Lake Data Warehouse Unstructured Data AWS 52

Monte Carlo

NOVEMBER 6, 2023

They can range in terms of complexity, ease of use, and feature sets, but all are designed to help illuminate the dark corners of your data repositories, and are a critical component of your data governance practice. Here’s an overview of ten popular data discovery tools (in no particular order) that are available today.

Metadata 40

Metadata Unstructured Data Government Data Governance 40

Cloudera

JULY 29, 2022

It supports business objectives like increasing revenues, improving customer experience, and driving profitability by giving business units and users access to relevant data so they can quickly gain the insight they need. The proof is in the pudding.

Data Architecture 87

Data Architecture Architecture Unstructured Data Government 87

Knowledge Hut

APRIL 23, 2024

With the advent of technology and the arrival of modern communications systems, computer science professionals worldwide realized big data size and value. As big data evolves and unravels more technology secrets, it might help users achieve ambitious targets. Top 10 Disadvantages of Big Data 1.

Big Data 52

Big Data Media Government Big Data Skills 52

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. . ModelOp — Governs, monitors, and orchestrates models across the enterprise. Process Analytics.

Consulting 121

Consulting Machine Learning Data Science Data Pipeline 121