AWS Machine Learning Blog

MARCH 15, 2024

Duration of data informs on long-term variations and patterns in the dataset that would otherwise go undetected and lead to biased and ill-informed predictions. Breaking down these data silos to unite the untapped potential of the scattered data can save and transform many lives. Much of this work comes down to the data.”

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Dataversity

AUGUST 7, 2023

Businesses increasingly rely on real-time data to make informed decisions, improve customer experiences, and gain a competitive edge. However, managing and handling real-time data can be challenging due to its volume, velocity, and variety.

Data Silos 98

Data Silos Data Quality Cloud Data Analytics 98

Dataversity

FEBRUARY 6, 2023

Organizations seeking responsive and sustainable solutions to their growing data challenges increasingly lean on architectural approaches such as data mesh to deliver information quickly and efficiently.

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Data Silos Data Quality Cloud Data 52

Dataversity

OCTOBER 22, 2021

.” The series covers some of the most prominent questions in Data Management, such as master data, the difference between master data and MDM, “truth” versus “meaning” in data, Data Quality, and so much more. […].

Data Quality 52

Data Quality Data Silos Data Governance 52

Precisely

FEBRUARY 2, 2023

This requires access to data from across business systems when they need it. Data silos and slow batch delivery of data will not do. Stale data and inconsistencies can distort the perception of what is really happening in the business leading to uncertainty and delay.

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Data Pipeline Data Silos Database Data Observability 52

Alation

MARCH 21, 2023

While this industry has used data and analytics for a long time, many large travel organizations still struggle with data silos , which prevent them from gaining the most value from their data. What is big data in the travel and tourism industry?

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Analytics Analytics Data Silos Big Data 52

Dataconomy

MARCH 29, 2023

Yet, navigating the intricacies of data governance can be akin to navigating a labyrinth. With the sheer volume and complexity of data and ever-evolving regulations, it’s easy to lose sight of the big picture. So, let’s unlock the secrets of data governance and take your organization to the next level!

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Data Governance Data Analyst Data Quality Data Silos 70

Dataconomy

MARCH 29, 2023

Yet, navigating the intricacies of data governance can be akin to navigating a labyrinth. With the sheer volume and complexity of data and ever-evolving regulations, it’s easy to lose sight of the big picture. So, let’s unlock the secrets of data governance and take your organization to the next level!

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Data Governance Data Analyst Data Quality Data Silos 70

ODSC - Open Data Science

JULY 13, 2023

Instead of broadly applying their knowledge to all stores or customers, they must have a strategy to ensure data quality. A retailer must connect data silos across the entire organization for proper consolidation. Data analytics in the retail industry may solve many application issues.

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Data Science Machine Learning Machine Learning Data Silos 52

Alation

APRIL 27, 2023

Article reposted with permission from Eckerson ABSTRACT: Data mesh is giving many of us from the data warehouse generation a serious case of agita. But, my fellow old-school data tamers, it’s going to be ok. It’s a subject that’s giving many of us from the data warehouse generation a serious case of agita.

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Data Warehouse Data Silos Data Governance Data Quality 52

Dataversity

AUGUST 5, 2021

According to Gartner, data fabric is an architecture and set of data services that provides consistent functionality across a variety of environments, from on-premises to the cloud. Data fabric simplifies and integrates on-premises and cloud Data Management by accelerating digital transformation.

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Dataversity

APRIL 23, 2021

Within the Data Management industry, it’s becoming clear that the old model of rounding up massive amounts of data, dumping it into a data lake, and building an API to extract needed information isn’t working. The post Why Graph Databases Are an Essential Choice for Master Data Management appeared first on DATAVERSITY.

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Database Data Lakes Data Silos Data Governance 90

The MLOps Blog

MAY 17, 2023

Often the Data Team, comprising Data and ML Engineers , needs to build this infrastructure, and this experience can be painful. These pipelines assist data scientists in saving time and effort by ensuring that the data is clean, properly formatted, and ready for use in machine learning tasks. Happy Learning!

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ETL Data Pipeline ML ML 59

Heartbeat

DECEMBER 7, 2023

Data Mesh is a new data set that enables units or cross-functional teams to decentralize and manage their data domains while collaborating to maintain data quality and consistency across the organization — architecture and governance approach. Data mesh needs governance maturity rather than metadata maturity.

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Data Governance Deep Learning Deep Learning Artificial Intelligence 52

ODSC - Open Data Science

SEPTEMBER 29, 2023

A 2019 survey by McKinsey on global data transformation revealed that 30 percent of total time spent by enterprise IT teams was spent on non-value-added tasks related to poor data quality and availability. The data lake can then refine, enrich, index, and analyze that data.

Data Lakes 52

Data Lakes Clustering Big Data Big Data 52

Alation

APRIL 27, 2023

Article reposted with permission from Eckerson ABSTRACT: Data mesh is giving many of us from the data warehouse generation a serious case of agita. But, my fellow old-school data tamers, it’s going to be ok. It’s a subject that’s giving many of us from the data warehouse generation a serious case of agita.

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Data Warehouse Data Silos Data Governance Data Quality 40

Dataversity

JUNE 20, 2024

Information about customers is likely scattered across an assortment of applications and devices ranging from your customer relationship management system to logs from customer-facing applications, […] The post End the Tyranny of Disaggregated Data appeared first on DATAVERSITY. You need to find out why and fast.

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Data Silos Data Governance Data Quality AI 69

Dataversity

APRIL 25, 2022

Data collection, while crucial to the overall functionality and health of a business, does not automatically lead to success. If data processes are not at peak performance and efficiency, businesses are just collecting massive stores of data for no reason. Effective use […].

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Data Observability Data Silos Data Quality Data Governance 52

Dataversity

MARCH 28, 2022

Businesses today collect and store an astonishing amount of data. According to estimates from IDC, 163 zettabytes of data will have been created worldwide by 2025. However, this data is not always useful to business leaders until it is organized to be of higher quality and reliability.

Data Analysis 52

Data Analysis Data Analysis Data Silos Data Quality 52

Dataversity

FEBRUARY 22, 2021

Click to learn more about author Emily Washington. Forty-two percent of the U.S. workforce is working from home full-time, according to the Stanford Institute for Economic Policy Research — almost twice as many employees as this time last year.

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Data Silos Data Quality Data Governance 52

Dataversity

FEBRUARY 11, 2022

As organizations enter a new year, leaders across industries are increasingly collecting more data to drive innovative growth strategies. Yet to move forward effectively, these organizations need greater context around their data to make accurate and streamlined decisions.

Data Silos 52

Data Silos Data Quality Data Governance 52

Dataversity

NOVEMBER 1, 2021

Many in enterprise Data Management know the challenges that rapid business growth can present. Whether through acquisition or organic growth, the amount of enterprise data coming into the organization can feel exponential as the business hires more people, opens new locations, and serves new customers. The enterprise […].

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Data Governance Data Silos Data Warehouse Data Quality 52

Dataversity

AUGUST 26, 2022

Businesses that realize the value of their data and make the effort to utilize it to its greatest potential are quickly outcompeting those that do not. But like any complex system, the architectures that utilize big data must be carefully managed and supported to produce optimal outcomes.

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Big Data Big Data Data Silos Data Governance 52

Dataversity

AUGUST 18, 2022

When the United States and the European Commission together announced a new Trans-Atlantic Data Privacy Framework earlier this year, the news didn’t raise too many eyebrows.

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Data Silos Data Governance Data Quality 52

Dataversity

JANUARY 21, 2022

This is especially true when it comes to Data Governance. According to TechTarget, Data Governance is the process of managing the availability, usability, integrity, and security of the data in enterprise systems, based on internal data standards and policies. Effective Data Governance ensures that […].

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Data Governance Data Silos Data Quality 52

Alation

JULY 6, 2021

Auto-tracked metrics guide governance efforts, based on insights around data quality and profiling. This empowers leaders to see and refine human processes around data. Deeper knowledge of how data is used powers deeper understanding of the data itself. Siloed Data. Silos arise for a range of reasons.

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Data Governance Data Quality Data Silos Data Profiling 52

Alation

APRIL 12, 2022

CDOs have a mandate across the data value chain, across that whole life cycle of data. Data governance also extends across that life cycle. It’s not just about security or privacy or ensuring data quality; it’s also ensuring the right people can access it and use it to deliver value to the organization.”.

Data Quality 52

Data Quality Data Governance Data Silos Data Analyst 52

Dataconomy

APRIL 6, 2023

While data democratization has many benefits, such as improved decision-making and enhanced innovation, it also presents a number of challenges. From lack of data literacy to data silos and security concerns, there are many obstacles that organizations need to overcome in order to successfully democratize their data.

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Data Governance Data Silos Data Analysis Data Analysis 118

Dataconomy

APRIL 6, 2023

While data democratization has many benefits, such as improved decision-making and enhanced innovation, it also presents a number of challenges. From lack of data literacy to data silos and security concerns, there are many obstacles that organizations need to overcome in order to successfully democratize their data.

Data Governance 70

Data Governance Data Silos Data Analysis Data Analysis 70