Alation

JANUARY 26, 2023

Data is a key asset for businesses in the modern world. That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. However, data needs to be easily accessible, usable, and secure to be useful — yet the opposite is too often the case.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

CIO Business Intelligence

SEPTEMBER 20, 2023

Mark Booth: We have a growth strategy to improve our business, and to support that, we’re driving a transformation in technology and business processes. But the more challenging work is in making our processes as efficient as possible so we capture the right data in our desire to become a more data-driven business.

Data Lake 135

Data Lake Data-driven Dashboards Risk 135

CIO Business Intelligence

APRIL 26, 2024

At the core of its strategy is the mountain of data that TransUnion has acquired — along with more than 25 companies — over decades. That data is in the process of being unified on a multilayered platform that offers a variety of data services, including data ingestion, data management, data governance, and data security.

Modeling 114

Modeling IT Machine Learning Data Governance 114

AWS Big Data

JANUARY 31, 2023

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

Data Lake 85

Data Lake Data Governance Data Architecture Data Warehouse 85

CIO Business Intelligence

APRIL 1, 2024

The research cited a lack of talent and skills to work with the technology (62%), unclear AI and GenAI investment priorities (47%), and the absence of a strategy for responsible AI (41%) as the top three obstacles. GenAI requires high-quality data. Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake.

Data Lake 142

Data Lake Consulting Uncertainty Risk 142

CIO Business Intelligence

MAY 10, 2023

With headquarters in Boston and over 2,700 employees worldwide, Novanta is an $800 million global supplier of laser photonics, precision motion control, and vision technologies. They’re learning how to visualize data on their own, so they don’t really need IT other than the data marts in order to build their own dashboards.

Data-driven 120

Data-driven IT Digital Transformation Data Governance 120

AWS Big Data

OCTOBER 20, 2023

Today, we are pleased to announce new AWS Glue connectors for Azure Blob Storage and Azure Data Lake Storage that allow you to move data bi-directionally between Azure Blob Storage, Azure Data Lake Storage, and Amazon Simple Storage Service (Amazon S3). option("header","true").load("wasbs://yourblob@youraccountname.blob.core.windows.net/loadingtest-input/100mb")

Data Lake 88

Data Lake Big Data Consulting Data Warehouse 88

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Communication and political savvy: Data architects need people skills.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

AWS Big Data

AUGUST 16, 2023

Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. Now that the data is on Amazon S3, we can register the bucket with Lake Formation to implement access control and centralize the data governance.

Data Lake 81

Data Lake Metadata Snapshot Management 81

CIO Business Intelligence

FEBRUARY 16, 2023

The company’s orthodontics business, for instance, makes heavy use of image processing to the point that unstructured data is growing at a pace of roughly 20% to 25% per month. Advances in imaging technology present Straumann Group with the opportunity to provide its customers with new capabilities to offer their clients.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

AWS Big Data

MARCH 7, 2023

A data hub is a center of data exchange that constitutes a hub of data repositories and is supported by data engineering, data governance, security, and monitoring services. A data hub contains data at multiple levels of granularity and is often not integrated.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

Cloudera

DECEMBER 11, 2020

Based in Germany, Merck KGaA is one of the leading science and technology companies, operating across healthcare, life science, and performance materials business areas. From advancing gene-editing technologies and discovering unique ways to treat the most challenging diseases, to enabling the intelligence of devices.

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

IBM Big Data Hub

JUNE 8, 2022

However, a foundational step in evolving into a data-driven organization requires trusted, readily available, and easily accessible data for users within the organization; thus, an effective data governance program is key. Integrating data across this hybrid ecosystem can be time consuming and expensive.

Data-driven 58

Data-driven Enterprise Data Governance Data Lake 58

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

Ontotext

FEBRUARY 12, 2024

Determine ownership by making sure all teams involved in the data mesh own the quality of their domain data, ensure service-level agreements are met, and share that data with data contracts. Domain teams should continually monitor for data errors with data validation checks and incorporate data lineage to track usage.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

CIO Business Intelligence

AUGUST 2, 2023

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. In IT, we often talk about the layers of a technology stack.

Manufacturing 98

Manufacturing Data Architecture Strategy Data Strategy 98

TDAN

MAY 31, 2022

As we enter a new cloud-first era, advancements in technology have helped companies capture and capitalize on data as much as possible. Deciding between which cloud architecture to use has always been a debate between two options: data warehouses and data lakes.

Data Lake 52

Data Lake Data Warehouse Technology Data Architecture 52

Bruno Aziza

NOVEMBER 15, 2017

VEDA — Verizon Enterprise Data Analytics—is an enterprise organization that addresses data management, data governance, data warehousing and data lakes and common analytical and AI technologies.

Big Data 71

Big Data Data Lake Data Governance Enterprise 71

Alation

JUNE 14, 2021

The Role of Catalog in Data Security. As the facilitator of the #CIOChat, I get to have fascinating conversations with CIOs and other technology leaders. Recently, I dug in with CIOs on the topic of data security. The Role of the CISO in Data Governance and Security. So CISOs must protect data.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

Data Virtualization

AUGUST 26, 2020

Recently, we have seen the rise of new technologies like big data, the Internet of things (IoT), and data lakes. But we have not seen many developments in the way that data gets delivered. Modernizing the data infrastructure is the.

Data Architecture 59

Data Architecture Internet of Things Data Lake IoT 59

CIO Business Intelligence

FEBRUARY 28, 2023

This year’s event will explore themes of 5G acceleration, immersive technology, open networks, fintech, and ‘Digital Everything’, encompassing intelligent solutions, Internet-of-Things, Industry 4.0, Beyond the technological aspect, SMEs and start-ups will need deep partnerships that can enrich their offerings to go further.

Digital Transformation 98

Digital Transformation Internet of Things Data Lake Enterprise 98

IBM Big Data Hub

JANUARY 5, 2023

Next generation of big data platforms and long running batch jobs operated by a central team of data engineers have often led to data lake swamps. Monitor and identify data quality issues closer to the source to mitigate the potential impact on downstream processes or workloads.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

David Menninger's Analyst Perspectives

OCTOBER 7, 2021

The technology industry throws around a lot of similar terms with different meanings as well as entirely different terms with similar meanings. In this post, I don’t want to debate the meanings and origins of different terms; rather, I’d like to highlight a technology weapon that you should have in your data management arsenal.

Technology 246

Technology Management Data Lake IT 246

IBM Big Data Hub

JULY 5, 2022

In today’s world of complex data architectures and emerging technologies, databases can sometimes be undervalued and unrecognized. IBM has been the pioneer in paving the way for data management technologies and advancements for decades, from the first commercial database to quantum computing systems.

Data Lake 96

Data Lake Data Warehouse Publishing Structured Data 96

Cloudera

SEPTEMBER 15, 2022

Cloudera Contributor: Mark Ramsey, PhD ~ Globally Recognized Chief Data Officer. July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. Why should this be on their technology roadmap?

Data Lake 79

Data Lake Data Architecture Data-driven Data Warehouse 79

Cloudera

DECEMBER 1, 2022

Data observability provides insight into the condition and evolution of the data resources from source through the delivery of the data products. Barr Moses of Monte Carlo presents it as a combination of data flow, data quality, data governance, and data lineage.

Metrics 81

Metrics Data Quality Data Lake Statistics 81

Cloudera

FEBRUARY 19, 2018

But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough. To keep up with tech trends, businesses have to face the challenges of integrating SAP with non-SAP technologies and embark on a crusade against data silos. Governance.

Data Lake 46

Data Lake Finance Data Governance Big Data 46

Alation

FEBRUARY 13, 2020

Data curation is important in today’s world of data sharing and self-service analytics, but I think it is a frequently misused term. When speaking and consulting, I often hear people refer to data in their data lakes and data warehouses as curated data, believing that it is curated because it is stored as shareable data.

Metadata 52

Metadata Data Warehouse Data Lake Data Governance 52

IBM Big Data Hub

DECEMBER 16, 2022

For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance. It uses metadata and data management tools to organize all data assets within your organization. This is especially helpful when handling massive amounts of big data.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Alation

APRIL 18, 2023

What is data profiling? Definition and purpose of data profiling Data profiling is the process of analyzing and assessing the quality, structure, and content of data. Data profiling technology examines data values, formats, relationships, and patterns to identify data quality issues, dependencies, and relationships.

IT 52

IT Metadata Data Quality Data Governance 52

Ontotext

NOVEMBER 16, 2023

Data mesh solves this by promoting data autonomy, allowing users to make decisions about domains without a centralized gatekeeper. It also improves development velocity with better data governance and access with improved data quality aligned with business needs.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

David Menninger's Analyst Perspectives

APRIL 21, 2021

Trying to get ahead of the backlog with incremental improvements to existing approaches and traditional technologies alone can be frustrating. This can potentially slow down the organizational functions which depend on the analysis results.

Analytics 313

Analytics Technology Data Lake Data Governance 313

David Menninger's Analyst Perspectives

SEPTEMBER 1, 2021

The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization.

Technology 144

Technology Data Lake IT Data Governance 144

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 118

Data Lake Metadata Optimization Statistics 118

Alation

FEBRUARY 13, 2020

Figure 1 illustrates the typical metadata subjects contained in a data catalog. Figure 1 – Data Catalog Metadata Subjects. Datasets are the files and tables that data workers need to find and access. They may reside in a data lake, warehouse, master data repository, or any other shared data resource.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

AWS Big Data

JULY 21, 2023

Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts.

Data Lake 89

Data Lake Data Warehouse Marketing Management 89

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: optimizing healthcare processes to save lives, data analysis for emergency resource management, building smarter cities with data science, using data and analytics to fight climate change, tackle the food crisis or prioritize actions against poverty, and more.

Digital Transformation 66

Digital Transformation Machine Learning Optimization Data Lake 66