erwin

JUNE 26, 2020

It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., legacy systems, data warehouses, flat files stored on individual desktops and laptops, and modern, cloud-based repositories.). This also diminishes the value of data as an asset.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

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.

Cost-Benefit 66

Cost-Benefit Digital Transformation Data Governance Unstructured Data 66

Alation

JUNE 2, 2022

In part one of this series, I discussed how data management challenges have evolved and how data governance and security have to play in such challenges, with an eye to cloud migration and drift over time. Data management is not yet a solved problem, but modern data management is leagues ahead of prior approaches.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

Ontotext

MARCH 18, 2020

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data. Finally, they combine classical technologies like data governance and data management with modern analytics.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

AWS Big Data

JULY 19, 2023

We’ve seen that there is a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With this connector, you can bring the data from Google Cloud Storage to Amazon S3.

Big Data 79

Big Data Software Consulting Unstructured Data 79

AWS Big Data

OCTOBER 20, 2023

We’ve seen a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With these connectors, you can bring the data from Azure Blob Storage and Azure Data Lake Storage separately to Amazon S3. Learn more in README.

Data Lake 80

Data Lake Big Data Consulting Data Warehouse 80

Alation

APRIL 6, 2023

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. Spreadsheets are not going away any time soon, so it makes sense to incorporate them into the data landscape. There are others that consider spreadsheets to be trouble.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

CIO Business Intelligence

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). The company is expanding its partnership with Collibra to integrate Collibra’s AI Governance platform with SAP data assets to facilitate data governance for non-SAP data assets in customer environments. “We

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

Cloudera

NOVEMBER 18, 2021

The variety of formats, unstructured nature, and dispersed location of these documents present several challenges for critical business decisions. To enable faster and easier access to millions of documents, ExxonMobil combined domain specific knowledge and a combination of Cloudera tools with cloud services.

Data Lake 75

Data Lake Cost-Benefit Digital Transformation Risk 75

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? What are common data challenges for the travel industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

erwin

JUNE 27, 2019

Additional challenges, such as increasing regulatory pressures – from the General Data Protection Regulation (GDPR) to the Health Insurance Privacy and Portability Act (HIPPA) – and growing stores of unstructured data also underscore the increasing importance of a data modeling tool.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81

Domino Data Lab

JULY 2, 2019

The authors of AutoPandas observed that: The APIs for popular data science packages tend to have relatively steep learning curves. People look toward online resources such as StackOverflow to find out how to use APIs when the documentation doesn’t have an example that fits. Instead, program synthesis can address these issues.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Grooper

AUGUST 19, 2019

Master data management. Data governance. Structured, semi-structured, and unstructured data. Data pipelines. Recognizing text and certain features of a document require training as well. The vocabulary of applied analytics includes words and concepts such as: Key performance indicators (KPIs).

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Alation

DECEMBER 15, 2021

Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information. Data governance requires a system.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

AWS Big Data

JUNE 9, 2023

Data in customers’ data lakes is used to fulfil a multitude of use cases, from real-time fraud detection for financial services companies, inventory and real-time marketing campaigns for retailers, or flight and hotel room availability for the hospitality industry.

Data Lake 109

Data Lake Metadata Optimization Statistics 109

CIO Business Intelligence

AUGUST 1, 2023

But with all the excitement and hype, it’s easy for employees to invest time in AI tools that compromise confidential data or for managers to select shadow AI tools that haven’t been through security, data governance, and other vendor compliance reviews.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98

datapine

FEBRUARY 22, 2022

They can govern the implementation with a documented business case and be responsible for changes in scope. On the flip side, document everything that isn’t working. What data analysis questions are you unable to currently answer? For this purpose, you can think about a data governance strategy.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

FEBRUARY 10, 2022

Let’s discuss what data classification is, the processes for classifying data, data types, and the steps to follow for data classification: What is Data Classification? Either completed manually or using automation, the data classification process is based on the data’s context, content, and user discretion.

Data Governance 52

Data Governance Risk Insurance Strategy 52

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).

Metadata 123

Metadata Cost-Benefit Enterprise Interactive 123

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

erwin

MARCH 26, 2020

However, some practical data management issues contribute to a growing need for enterprise data governance, including: Increasing data volumes that challenge the traditional enterprise’s ability to store, manage and ultimately find data. Supporting observance of data policies to support regulatory compliance.

Data-driven 90

Data-driven Unstructured Data Enterprise Finance 90

Rocket-Powered Data Science

MARCH 20, 2023

Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Datasphere manages and integrates structured, semi-structured, and unstructured data types.

Data Warehouse 324

Data Warehouse Metadata Digital Transformation Unstructured Data 324