phData

MAY 25, 2023

In the modern digital-industrial world, manufacturing companies generate vast quantities of data on a daily basis, encompassing logistics records, inventory information, supplier data and more. With over 160 data connectors available, Fivetran makes it easy to move supply chain data across any cloud data platform in the market.

Data Silos 52

Data Silos System Architecture Cloud Data Data Analyst 52

IBM Journey to AI blog

MAY 9, 2023

Supporting the data management life cycle According to IDC’s Global StorageSphere, enterprise data stored in data centers will grow at a compound annual growth rate of 30% between 2021-2026. [2] ” Notably, watsonx.data runs both on-premises and across multicloud environments.

Data Warehouse 92

Data Warehouse AWS AI AI 92

Precisely

JUNE 2, 2023

As companies strive to leverage AI/ML, location intelligence, and cloud analytics into their portfolio of tools, siloed mainframe data often stands in the way of forward momentum. Forbes reports that 84% of CEOs are concerned about the integrity of the data they use to make important decisions every day.

Data Silos 52

Data Silos ETL Data Quality Data Pipeline 52

AWS Machine Learning Blog

NOVEMBER 1, 2024

Instead, a core component of decentralized clinical trials is a secure, scalable data infrastructure with strong data analytics capabilities. Amazon Redshift is a fully managed cloud data warehouse that trial scientists can use to perform analytics.

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AWS Data Lakes Machine Learning Machine Learning 121

Alation

MARCH 28, 2023

Central to this is a culture where decisions are made based solely on data, rather than gut feel, seniority, or consensus. Introduced in late 2021 by the EDM Council, The Cloud Data Management Framework ( CDMC ), sets out best practices and capabilities for data management challenges in the cloud.

Data Silos 52

Data Silos Cloud Data Data Quality Data Governance 52

Alation

NOVEMBER 30, 2021

One of the 14 key controls released with the EDM Council’s new Cloud Data Management Capability (CDMC) framework focuses on data sovereignty and cross-border movement. The focus of the capability is compliance with all laws and regulations for the handling of sensitive data within a specific jurisdiction where data resides.

Data Governance 52

Data Governance Cloud Data Data Silos 52

phData

SEPTEMBER 20, 2023

A data mesh is a decentralized approach to data architecture that’s been gaining traction as a solution to the challenges posed by large and complex data ecosystems. It’s all about breaking down data silos, empowering domain teams to take ownership of their data, and fostering a culture of data collaboration.

Data Silos 52

Data Silos Database Data Quality Data Engineering 52

Alation

DECEMBER 9, 2021

In an increasingly virtual world, the ability to retrieve critical information from anywhere at any time is becoming the norm. Cloud-based systems improve access to data, allowing collaboration and communication in real-time, as well as enhancing analytics by the elimination of data silos.

Data Governance 52

Data Governance Cloud Data Data Silos Analytics 52

Dataversity

AUGUST 9, 2021

In larger companies, we often talk to folks in the business unit that most people traditionally refer to as Information Technology (IT). The post How Cloud Has Affected the Centralization vs. Every week, we find ourselves having a conversation about cost optimization with a wide variety of enterprises.

Data Silos 52

Data Silos Cloud Data 52

Alation

DECEMBER 13, 2022

For example, the researching buyer may seek a catalog that scores 6 for governance, 10 for self-service, 4 for cloud data migration, and 2 for DataOps (let’s call this a {6, 10, 4, 2} profile). At its best, a data catalog is a platform that supports collaboration – across job types, teams, and use cases. Conclusion.

DataOps 52

DataOps Data Governance Data Silos Data Scientist 52

Alation

NOVEMBER 16, 2021

Data growth, shrinking talent pool, data silos – legacy & modern, hybrid & cloud, and multiple tools – add to their challenges. According to Gartner, “Through 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance.”.

Data Governance 52

Data Governance Data Scientist SQL Data Silos 52

Dataversity

APRIL 5, 2021

However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Click to learn more about author Kendall Clark. The mandate for IT to deliver business value has never been stronger.

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Internet of Things Data Silos Data Lakes Data Warehouse 97

Dataversity

OCTOBER 25, 2021

It’s common for enterprises to run into challenges such as lack of data visibility, problems with data security, and low Data Quality. But despite the dangers of poor data ethics and management, many enterprises are failing to take the steps they need to ensure quality Data Governance. Let’s break […].

Data Governance 98

Data Governance Data Quality Data Silos Cloud Data 98

Alation

APRIL 7, 2021

We believe security, availability, and disaster recovery are paramount to any cloud service offering. A data catalog contains critical metadata (like schema information), which need to be secure and available to consumers at all times. Hence, the data catalog must be protected by enterprise-grade security.

Data Governance 52

Data Governance AWS Data Silos Data Lakes 52

Dataversity

APRIL 1, 2021

In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […].

Analytics 69

Analytics Analytics Data Silos Data Lakes 69

Dataversity

MARCH 25, 2021

The post 2021 Predictions: Data Protection and Mobility Basics More Important Than Ever appeared first on DATAVERSITY. Click to learn more about author Charles Burger. Around the globe, an audible sigh of relief was heard as we entered a new year and left 2020 behind for the history books.

Data Silos 59

Data Silos Cloud Data 59

The MLOps Blog

MAY 17, 2023

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. Moreover, ETL pipelines play a crucial role in breaking down data silos and establishing a single source of truth.

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ETL Data Pipeline ML ML 59

Dataversity

AUGUST 22, 2022

And, of course, optimal data management is at the heart of that evolution.

Data Silos 52

Data Silos Database Cloud Data 52

Dataversity

JULY 12, 2022

Today IT teams are woefully understaffed and overwhelmed with dozens of pressing daily demands from across their organizations. They are under pressure to drive the performance, accessibility, and security of IT systems, services, and applications at a time when the uptick in remote work has made it even more challenging to support those areas.

Data Silos 52

Data Silos Cloud Data Artificial Intelligence Artificial Intelligence 52

Dataversity

FEBRUARY 17, 2022

With machine learning (ML) and artificial intelligence (AI) applications becoming more business-critical, organizations are in the race to advance their AI/ML capabilities. To realize the full potential of AI/ML, having the right underlying machine learning platform is a prerequisite.

Machine Learning 52

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 52

Dataversity

JUNE 7, 2021

The enterprise of the future is built on data. Today’s business leaders generally understand that data is critical to rapidly increasing revenue and profitability. Yet most businesses still treat data as a siloed commodity and manage it poorly, leaving many employees unable to access important data […].

Data Silos 52

Data Silos Cloud Data Analytics Analytics 52

phData

SEPTEMBER 27, 2024

Transitional modeling is like the Lego of the customer data world. Instead of trying to build a perfect, complete customer model from the get-go, it starts with small, standardized pieces of information – let’s call them data atoms (or atomic data). Let’s look at an example. Who performed the action?

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52

Alation

OCTOBER 19, 2021

Although organizations don’t set out to intentionally create data silos, they are likely to arise naturally over time. This can make collaboration across departments difficult, leading to inconsistent data quality , a lack of communication and visibility, and higher costs over time (among other issues). What Are Data Silos?

Data Silos 52

Data Silos ETL Data Governance Cloud Data 52

phData

NOVEMBER 9, 2023

Snowflake’s Data Cloud has emerged as a leader in cloud data warehousing. As a fundamental piece of the modern data stack , Snowflake is helping thousands of businesses store, transform, and derive insights from their data easier, faster, and more efficiently than ever before. Why Does This Matter?

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Data Warehouse Data Lakes Clustering Cloud Data 98

Alation

APRIL 19, 2022

And in an increasingly remote workforce, people need to access data systems easily to do their jobs. Today, data dwells everywhere. Data modernization enables informed decision making by pulling data out of systems more reliably. It helps you identify high-value data combinations and integrations.

Data Governance 52

Data Governance Cloud Data Database Data Silos 52

Alation

JULY 12, 2022

Many things have driven the rise of the cloud data warehouse. The cloud can deliver myriad benefits to data teams, including agility, innovation, and security. With a cloud environment, departments can adopt new capabilities and speed up time to value. Yet cloud data migration is not a one-size-fits-all process.

Cloud Data 52

Cloud Data Data Warehouse Database Machine Learning 52

phData

FEBRUARY 15, 2024

With the advent of cloud data warehouses and the ability to (seemingly) infinitely scale analytics on an organization’s data, centralizing and using that data to discover what drives customer engagement has become a top priority for executives across all industries and verticals. What Are the Challenges With Fan 360?

Data Warehouse 52

Data Warehouse Cloud Data Data Silos Analytics 52