Cloudera

MAY 14, 2024

Hybrid cloud plays a central role in many of today’s emerging innovations—most notably artificial intelligence (AI) and other emerging technologies that create new business value and improve operational efficiencies. But getting there requires data, and a lot of it. What do we mean by ‘true’ hybrid? Let’s dive deeper.

Data Architecture 99

Data Architecture Data Governance Unstructured Data Structured Data 99

Jim Harris

JANUARY 1, 2016

1 — Investigate Data quality is not exactly a riddle wrapped in a mystery inside an enigma. However, understanding your data is essential to using it effectively and improving its quality. In order for you to make sense of those data elements, you require business context.

Data Quality 61

Data Quality Data Governance Cost-Benefit ROI 61

DataKitchen

AUGUST 8, 2023

On 20 July 2023, Gartner released the article “ Innovation Insight: Data Observability Enables Proactive Data Quality ” by Melody Chien. It alerts data and analytics leaders to issues with their data before they multiply. She sees Data Observability as an emerging technology in data engineering and management.

Data Quality 130

Data Quality Testing Snapshot Reporting 130

AWS Big Data

FEBRUARY 27, 2024

Governance and self-service – The Bluestone Data Platform provides a governed, curated, and self-service avenue for all data use cases. AWS services like AWS Lake Formation in conjunction with Atlan help govern data access and policies.

Data-driven 95

Data-driven Data Lake Data Quality Data Governance 95

AWS Big Data

APRIL 19, 2023

The goal of a data product is to solve the long-standing issue of data silos and data quality. Independent data products often only have value if you can connect them, join them, and correlate them to create a higher order data product that creates additional insights.

Technology 82

Technology Data-driven Machine Learning Sales 82

Cloudera

JUNE 13, 2024

After countless open-source innovations ushered in the Big Data era, including the first commercial distribution of HDFS (Apache Hadoop Distributed File System), commonly referred to as Hadoop, the two companies joined forces, giving birth to an entire ecosystem of technology and tech companies.

Big Data 92

Big Data Machine Learning Contextual Data Data Lake 92

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Ontotext

FEBRUARY 12, 2024

This is especially beneficial when teams need to increase data product velocity with trust and data quality, reduce communication costs, and help data solutions align with business objectives. In most enterprises, data is needed and produced by many business units but owned and trusted by no one.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

CIO Business Intelligence

JUNE 9, 2023

But head starts don’t need to take years to make a difference, especially in the fast-moving world of technology where the window of opportunity is much shorter. In technology, hesitate, and you may not be able to catch up to your competitors. Such is the case with a data management strategy. That’s an almost 20-year head start.

Strategy 105

Strategy Management Key Performance Indicator ROI 105

erwin

FEBRUARY 28, 2024

While the essence of success in data governance is people and not technology, having the right tools at your fingertips is crucial. Technology is an enabler, and for data governance this is essentially having an excellent metadata management tool. Next to data governance, data architecture is really embedded in our DNA.

Metadata 52

Metadata Data Governance Data Quality Technology 52

CIO Business Intelligence

APRIL 24, 2024

It’s universally accepted that to thrive, enterprises must embrace transformation through technology. The challenge of digital transformation projects lies not so much in the technological implementation, but in the operational change required of people and the entire business organization,” he says.

Digital Transformation 92

Digital Transformation Business Intelligence Unstructured Data Data Lake 92

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. We explore why Orca chose to build a transactional data lake and examine the key considerations that guided the selection of Apache Iceberg as the preferred table format.

Data Lake 87

Data Lake Analytics Snapshot Optimization 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. RI is a global leader in the design and deployment of large-scale, production-level modern data platforms for the world’s largest enterprises.

Metrics 84

Metrics Data Quality Data Lake Statistics 84

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. What is a data fabric?

Data Lake 83

Data Lake Data Architecture Data-driven Data Warehouse 83

Anmut

APRIL 6, 2023

By regularly conducting data maturity assessments, you can catch potential issues early and make proactive changes to supercharge your business’s success. Improved data quality By assessing the organisation’s data quality management practices, the assessment can identify areas where data quality can be improved.

Cost-Benefit 52

Cost-Benefit Data Quality Data Governance Measurement 52

CIO Business Intelligence

JUNE 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Data Strategy 102

Data Strategy Strategy Visualization Consulting 102

erwin

SEPTEMBER 13, 2022

Learn how to maximize the business impact of your data. Discover how IT, data governance teams, and business users benefit from data intelligence initiatives through automated data cataloging, data quality, data literacy, and self-service data preparation.

Data Governance 52

Data Governance Data-driven Data Architecture Data Quality 52

Ontotext

AUGUST 4, 2023

Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360. As data is generated, stored, and used across data centers, edge, and cloud providers, managing a distributed storage environment is complex with no map to guide technology professionals.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

erwin

JULY 12, 2019

It also helps enterprises put these strategic capabilities into action by: Understanding their business, technology and data architectures and their inter-relationships, aligning them with their goals and defining the people, processes and technologies required to achieve compliance. Five Steps to GDPR/CCPA Compliance.

Data Governance 110

Data Governance Management Metadata Risk Management 110

Ontotext

APRIL 10, 2024

The data ecosystem today is crowded with dazzling buzzwords, all fighting for investment dollars. A survey in 2021 found that a data company was being funded every 45 minutes. Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

CIO Business Intelligence

MAY 20, 2022

Modernizing a utility’s data architecture. These capabilities allow us to reduce business risk as we move off of our monolithic, on-premise environments and provide cloud resiliency and scale,” the CIO says, noting National Grid also has a major data center consolidation under way as it moves more data to the cloud.

IT 91

IT Digital Transformation Internet of Things Data Architecture 91

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

IBM Big Data Hub

FEBRUARY 9, 2023

Realize that a data governance program cannot exist on its own – it must solve business problems and deliver outcomes. Start by identifying business objectives, desired outcomes, key stakeholders, and the data needed to deliver these objectives. Don’t try to do everything at once!

Data Governance 76

Data Governance Business Objectives Data Quality Strategy 76

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

Cloudera

JULY 20, 2021

A recent McKinsey report dove into the divergence between retail’s laggards and winners and found if there is one message in the retail sector’s stock market performance since the pandemic’s start, it is that investors flocked to companies with strong technology capabilities.

Manufacturing 106

Manufacturing Forecasting IoT Insurance 106

IBM Big Data Hub

JUNE 30, 2022

There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The diversity of data types, data processing, integration and consumption patterns used by organizations has grown exponentially.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 Poor data quality.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

erwin

DECEMBER 12, 2019

As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. Quicker Project Delivery: Accelerate Big Data deployments, Data Vaults, data warehouse modernization, cloud migration, etc., by up to 70 percent.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

IBM Big Data Hub

JANUARY 25, 2023

While operational data runs day-to-day business operations, gaining insights and leveraging data across business processes and workflows presents a well-known set of data governance challenges that technology alone cannot solve. Organizations need to ensure that their enterprise data governance practices are compliant.

Data Governance 52

Data Governance Data-driven Strategy Management 52

AWS Big Data

JANUARY 31, 2023

Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables better decision-making by improving data quality, reducing data management costs, and ensuring secure access to data for stakeholders.

Data Lake 82

Data Lake Data Governance Data Architecture Data Warehouse 82

Cloudera

SEPTEMBER 7, 2023

It’s the most revolutionary technological development in at least a generation. ChatGPT, Bard, LLaMa, and BloombergGPT rely on a new type of neural network architecture, called a transformer model , which uses a special form of weighting to capture relationships and context across different parts of a sentence or sequence.

Insurance 83

Insurance Risk Data-driven Finance 83

Octopai

APRIL 19, 2021

Her Twitter page is filled with interesting articles, webinars, reports, and current news surrounding data management. She tweets and retweets about topics such as data governance, data strategy, and data architecture. Forbes Technology Council. TDWI – David Loshin. IRM UK Connects. Dataconomy.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

AWS Big Data

NOVEMBER 9, 2023

As part of their cloud modernization initiative, they sought to migrate and modernize their legacy data platform. Data ingestion, whether real time or batch, forms the basis of any effective data analysis, enabling organizations to gather information from diverse sources and use it for insightful decision-making.

Data Warehouse 104

Data Warehouse Testing Data Quality Reporting 104

CIO Business Intelligence

APRIL 29, 2022

Strategically, it follows that processing and acting on data where it is created, predominantly at the edge now, will lead to faster and more efficient results. The challenge is formalizing that in terms of people, process, and technology. Data, not technology, drives the IT operating model. Prioritize your investments.

Digital Transformation 111

Digital Transformation Strategy Data-driven Data Strategy 111

bridgei2i

JUNE 23, 2021

These include:lack of understanding of the business-centric use cases of AI, IT gaps,lack of skilled employees, issues in data quality, and resistance to incorporate new technologies into the framework. An AI Consulting Company provides support to organizations to build the right data strategy for AI implementation.

Consulting 52

Consulting Key Performance Indicator Business Objectives Data Strategy 52

Ontotext

MAY 30, 2019

It’s the dawn of a yet another Forrester report ( TechRadar : Artificial Intelligence Technologies, Q1 2017 ) highlighting the importance and the potential of semantic technology to represent and govern knowledge. Would Johnny be better off if the data to be transferred was Linked Data? Linked Data or Semantic Technology?

Cost-Benefit 87

Cost-Benefit Technology Big Data Metadata 87

Jedox

OCTOBER 22, 2020

Today, though, the growing volume of data (currently measured in brontobytes = 10^ 27th power) and the advanced technologies available mean you can get much deeper insights much faster than you could in the past. In addition to using data to inform your future decisions, you can also use current data to make immediate decisions.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69