DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. DBT (Data Build Tool) — A command-line tool that enables data analysts and engineers to transform data in their warehouse more effectively. DataOps is a hot topic in 2021.

Testing 300

Testing Machine Learning Consulting Data Quality 300

CIO Business Intelligence

APRIL 25, 2024

Zero-copy integration eliminates the need for manual data movement, preserving data lineage and enabling centralized control fat the data source. Currently, Data Cloud leverages live SQL queries to access data from external data platforms via zero copy. CRM Systems, Data Management, Salesforce.com

Data Integration 119

Data Integration Data Lake Data Warehouse Metadata 119

CIO Business Intelligence

JANUARY 24, 2024

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

CIO Business Intelligence

OCTOBER 9, 2024

The rise of generative AI (GenAI) felt like a watershed moment for enterprises looking to drive exponential growth with its transformative potential. As the technology subsists on data, customer trust and their confidential information are at stake—and enterprises cannot afford to overlook its pitfalls.

Strategy 143

Strategy Modeling Management Data Lake 143

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 115

Data Governance Unstructured Data Metadata Data Lake 115

erwin

JANUARY 9, 2020

Enterprises are trying to manage data chaos. They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan. CCPA vs. GDPR: Key Differences.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

CIO Business Intelligence

MARCH 6, 2024

Jurgen Mueller, SAP CTO and executive board member, called the innovations, which includes an expanded partnership with data governance specialist Collibra, a “quantum leap” in the company’s ability to help customers drive intelligent business transformation through data.

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

Smart Data Collective

SEPTEMBER 26, 2019

Unstructured. Unstructured data lacks a specific format or structure. As a result, processing and analyzing unstructured data is super-difficult and time-consuming. Semi-structured data contains a mixture of both structured and unstructured data. Data Integration. Semi-structured.

Big Data 101

Big Data Software Unstructured Data Data Integration 101

CIO Business Intelligence

APRIL 25, 2022

They require specific data inputs, models, algorithms and they deliver very specific recommendations. To deliver accurate, high-confidence recommendations is no easy task, so accelerators can provide helpful starting points for enterprises,” Henschen said. Recommendations also include suggestions for product development choices.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

erwin

JANUARY 17, 2020

Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise. SQL or NoSQL?

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

Ontotext

JULY 9, 2020

was very unlikely to bring anything meaningful, notes Phil Lewis in Smarter enterprise search: why knowledge graphs and NLP can provide all the right answers. What lies behind building a “nest” from irregularly shaped, ambiguous and dynamic “strings” of human knowledge, in other words of unstructured data?

Data Architecture 128

Data Architecture Unstructured Data Enterprise Technology 128

CIO Business Intelligence

FEBRUARY 16, 2023

The Basel, Switzerland-based company, which operates in more than 100 countries, has petabytes of data, including highly structured customer data, data about treatments and lab requests, operational data, and a massive, growing volume of unstructured data, particularly imaging data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

CIO Business Intelligence

AUGUST 9, 2024

As part of its plan, the IT team conducted a wide-ranging data assessment to determine who has access to what data, and each data source’s encryption needs. There are a lot of variables that determine what should go into the data lake and what will probably stay on premise,” Pruitt says.

Data Transformation 126

Data Transformation Machine Learning Data Lake Dashboards 126

Ontotext

JULY 12, 2024

Graph technologies are essential for managing and enriching data and content in modern enterprises. But to develop a robust data and content infrastructure, it’s important to partner with the right vendors. As a result, enterprises can fully unlock the potential hidden knowledge that they already have.

Enterprise 59

Enterprise Cost-Benefit Metadata Data Integration 59

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 75

Unstructured Data Data Architecture Data Lake Snapshot 75

AWS Big Data

FEBRUARY 26, 2025

enables you to develop, run, and scale your data integration workloads and get insights faster. SageMaker Lakehouse unified data connectivity provides a connection configuration template, support for standard authentication methods like basic authentication and OAuth 2.0, connection testing, metadata retrieval, and data preview.

Analytics 59

Analytics Data Lake Metadata Data Warehouse 59

Octopai

JANUARY 31, 2022

But it is eminently possible that you were exposed to inaccurate data through no human fault.”. He goes on to explain: Reasons for inaccurate data. Integration of external data with complex structures. Big data is BIG. Some of these data assets are structured and easy to figure out how to integrate.

Metadata 97

Metadata IT Unstructured Data IoT 97

CIO Business Intelligence

MAY 9, 2024

In today’s data-driven world, the ability to seamlessly integrate structured and unstructured data in a hybrid cloud environment is critical for organizations seeking to harness the full potential of their data assets. However, many enterprises face significant challenges in achieving this seamlessly.

Digital Transformation 52

Digital Transformation Data Integration Unstructured Data Data-driven 52

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 102

Data Lake Big Data Data Warehouse Consulting 102

Ontotext

DECEMBER 1, 2023

Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises. ” With new business lines, leading to new tools, a lot of diverse and siloed data inevitably enters enterprise systems. Sumit started his talk by laying out the problems in today’s data landscapes.

Metadata 78

Metadata Sales Machine Learning Consulting 78

CIO Business Intelligence

MAY 24, 2022

Today transactional data is the largest segment, which includes streaming and data flows. EXTRACTING VALUE FROM DATA. One of the biggest challenges presented by having massive volumes of disparate unstructured data is extracting useable information and insights. CDP is the industry’s first enterprise data cloud.

Data-driven 98

Data-driven Data Lake Data Warehouse Machine Learning 98

Ontotext

JANUARY 6, 2021

The use of metadata and especially semantic metadata creates a unified, standardized means to fuse diverse, proprietary and third-party data seamlessly in a format based on how the data is being used rather than what format it is in or where it is stored. In the world of knowledge graphs we’ve seen factors of 100!

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 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 94

Big Data Software Consulting Unstructured Data 94

AWS Big Data

OCTOBER 3, 2023

A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. Both pathways have pros and cons, as discussed.

Data Lake 119

Data Lake Metadata Snapshot Recreation/Entertainment 119

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

AWS Big Data

FEBRUARY 21, 2023

Loading complex multi-point datasets into a dimensional model, identifying issues, and validating data integrity of the aggregated and merged data points are the biggest challenges that clinical quality management systems face. This is one of the biggest hurdles with the data vault approach. What is a data vault?

Data Warehouse 75

Data Warehouse Data Lake Cost-Benefit Metadata 75

IBM Big Data Hub

NOVEMBER 10, 2023

Ring 3 uses the capabilities of Ring 1 and Ring 2, including the data integration capabilities of the platform for terminology standardization and person matching. The introduction of Generative AI offers to take this solution pattern a notch further, particularly with its ability to better handle unstructured data.

Cost-Benefit 95

Cost-Benefit Insurance Unstructured Data Consulting 95

Ontotext

MARCH 23, 2023

The resulting data silos make it more and more expensive for enterprises to integrate, share and use their data. At the same time, there are more demands for data to be used in real-time and for businesses to have a better understanding of it. It can extract information from unstructured data.

Management 52

Management Metadata Unstructured Data Data Integration 52

Wayne Yaddow

MARCH 14, 2025

Instead of relying on one-off scripts or unstructured transformation logic, dbt Core structures transformations as models, linking them through a Directed Acyclic Graph (DAG) that automatically handles dependencies. The following categories of transformations pose significant limitations for dbt Cloud and dbtCore : 1.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

CIO Business Intelligence

SEPTEMBER 2, 2022

Skills for financial data engineers include coding skills, data analytics, data visualization, data optimization, data integration, data modeling, cloud computing services, knowledge of relational and nonrelational database systems, and an ability to work with high volumes of structured and unstructured data.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

Skills for financial data engineers include coding skills, data analytics, data visualization, data optimization, data integration, data modeling, cloud computing services, knowledge of relational and nonrelational database systems, and an ability to work with high volumes of structured and unstructured data.

Finance 98

Finance IT Software Reporting 98

Ontotext

NOVEMBER 2, 2023

Achieving this advantage is dependent on their ability to capture, connect, integrate, and convert data into insight for business decisions and processes. This is the goal of a “data-driven” organization. We call this the “ Bad Data Tax ”.

IT 69

IT Cost-Benefit Data-driven Technology 69

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Cloudera

SEPTEMBER 6, 2018

The solution combines Cloudera Enterprise , the scalable distributed platform for big data, machine learning, and analytics, with riskCanvas , the financial crime software suite from Booz Allen Hamilton. Cloudera Enterprise. The foundation of this end-to-end AML solution is Cloudera Enterprise.

Machine Learning 40

Machine Learning Big Data Risk Data Science 40

Alation

JUNE 2, 2022

Currently, models are managed by modelers and by the software tools they use, which results in a patchwork of control, but not on an enterprise level. A data catalog is a central hub for XAI and understanding data and related models. And until recently, such governance processes have been fragmented. Other Technologies.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

IBM Big Data Hub

JANUARY 5, 2023

Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues. Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

Ontotext

SEPTEMBER 2, 2020

Knowledge graphs enable content, data and knowledge-centric enterprises to improve repeated monetization of their assets by optimizing their reuse and repurposing as well as creating new products such as books, apps, reports, journal articles, content, and data feeds. For efficient drug discovery, linked data is key.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72