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 83

Data Lake Data Governance Data Architecture Machine Learning 83

Cloudera

JUNE 6, 2024

Recently, Cloudera, alongside OCBC, were named winners in the“ Best Big Data and Analytics Infrastructure Implementation ” category at The Asian Banker’s Financial Technology Innovation Awards 2024. Lastly, data security is paramount, especially in the finance industry.

Contextual Data 52

Contextual Data Data Lake Data-driven Risk 52

David Menninger's Analyst Perspectives

NOVEMBER 30, 2021

TIBCO is a large, independent cloud-computing and data analytics software company that offers integration, analytics, business intelligence and events processing software. It enables organizations to analyze streaming data in real time and provides the capability to automate analytics processes.

Analytics 175

Analytics Data Warehouse Business Intelligence Software 175

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.

Data Architecture 131

Data Architecture Data Warehouse Statistics Visualization 131

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 85

Data Lake Big Data Consulting Data Warehouse 85

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 118

Data-driven IT Digital Transformation Data Governance 118

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. AWS Glue crawlers will extract schema information and update the location of Iceberg metadata and schema updates in the Data Catalog.

Data Lake 80

Data Lake Metadata Snapshot Management 80

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 104

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 104

Cloudera

DECEMBER 11, 2020

This is what really stood out about the finalists of the Data Security and Governance category. These customers have embedded security and governance throughout their entire data and analytics lifecycle by design. Underpinning everything with security and governance.

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. AI and Analytics is only good as the quality of data been used for it. Data silos.

Data-driven 56

Data-driven Enterprise Data Governance Data Lake 56

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

Data Virtualization

MARCH 28, 2024

As noted in the Gartner Hype Cycle for Finance Data and Analytics Governance, 2023, “Through. The post My Understanding of the Gartner® Hype Cycle™ for Finance Data and Analytics Governance, 2023 appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Finance 69

Finance Digital Transformation Analytics Data Integration 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.

Manufacturing 98

Manufacturing Data Architecture Strategy Data Strategy 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

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

Cloudera

SEPTEMBER 15, 2022

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. A key area of focus for the symposium this year was the design and deployment of modern data platforms.

Data Lake 86

Data Lake Data Architecture Data-driven Data Warehouse 86

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 87

Data Lake Data Warehouse Publishing Structured Data 87

Cloudera

DECEMBER 1, 2022

Full-stack observability is a critical requirement for effective modern data platforms to deliver the agile, flexible, and cost-effective environment organizations are looking for. Data observability provides insight into the condition and evolution of the data resources from source through the delivery of the data products.

Metrics 88

Metrics Data Quality Data Lake Statistics 88

Alation

FEBRUARY 13, 2020

Data curation is a term that has recently become a common part of data management vocabulary. Data curation is important in today’s world of data sharing and self-service analytics, but I think it is a frequently misused term. Curating data involves much more than storing data in a shared database.

Metadata 52

Metadata Data Warehouse Data Lake Data Governance 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

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

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.

Data Lake 48

Data Lake Finance Data Governance Big Data 48

David Menninger's Analyst Perspectives

MAY 13, 2019

Organizations now must store, process and use data of significantly greater volume and variety than in the past.

Business Analytics 180

Business Analytics Big Data Analytics Enterprise 180

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

Cloudera

MAY 12, 2021

Use cases for this category could include but are not limited to: people analytics and reporting; employee recruiting, retention and development; employee resource groups; diversity, equality and inclusion strategy; supplier diversity, and more. DATA FOR GOOD. INDUSTRY TRANSFORMATION. Last, but certainly not least.

Digital Transformation 71

Digital Transformation Machine Learning Optimization Data Lake 71

Alation

FEBRUARY 13, 2020

This brief definition makes several points about data catalogs—data management, searching, data inventory, and data evaluation—but all depend on the central capability to provide a collection of metadata. Data catalogs have become the standard for metadata management in the age of big data and self-service analytics.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

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

Alation

MARCH 22, 2022

In fact, DataOps (and its underlying foundation, Data Fabric ), has ranked as a top area of inquiry and interest with analysts over the past twelve months. DataOps requires an array of technology to automate the design, development, deployment, and management of data delivery, with governance sprinkled on for good measure.

Metadata 52

Metadata Cost-Benefit Data Quality Data Lake 52

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 114

Data Lake Metadata Optimization Statistics 114

Sanjeev Mohan

FEBRUARY 28, 2018

I finished my trip at the Gartner Data & Analytics Summit in Sydney which exceeded over 1,000 attendees and became our biggest D&A Summit in the APAC region so far. The popularity of the Summit was not a surprise to me as I witnessed a pent-up surge in our clients’ and prospects’ desires to learn more about data related topics.

Management 52

Management Internet of Things Data Lake IoT 52

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 88

Data Lake Data Warehouse Marketing Management 88

Sanjeev Mohan

JANUARY 15, 2018

Somehow the data deluge barely leaves enough oxygen for a social media dopamine fix! Look forward to blogs spanning big data technologies, advanced analytics, data governance, IoT and blockchain. There is a renewed emphasis on data lakes and reversing the trends that caused them to turn into swamps.

Data Lake 45

Data Lake IoT Big Data Interactive 45

Cloudera

AUGUST 21, 2020

Data-in-motion is predominantly about streaming data so enterprises typically have two different ways or binary ways of looking at data. Data-in-motion on the other hand is data constantly coming into an enterprise or into the cloud that doesn’t have any finite end to it.

Enterprise 63

Enterprise Data Lake Strategy Metadata 63

Cloudera

AUGUST 4, 2021

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. But it’s still not easy.

Data Governance 89

Data Governance Metadata Data-driven Enterprise 89

IBM Big Data Hub

JULY 7, 2023

The key to secure data is maintaining an organization’s data confidentiality, integrity and availability (CIA) throughout its lifecycle. A comprehensive data security strategy includes people, processes and technology. Consider biometric technology , which verifies physical characteristics to identify individuals.

Risk 40

Risk Data Governance Data Lake Data-driven 40