Tableau

AUGUST 6, 2021

One way is to increase access to data and facilitate analysis and innovation by migrating to the cloud. Having data and analytics in the cloud removes barriers to access and trust while strengthening data governance. times more likely than data-aware organizations to use data to influence decisions 1.

Tableau 98

Tableau Cloud Computing Data Governance Business Intelligence 98

Dataconomy

MAY 27, 2025

Staying agile with emerging technologies Whether it is cloud computing, machine learning, or AI implementations, an MIS graduate is well-positioned to adapt. Embracing the ethics of data use Accountability comes with technical progress. MIS classes usually cover data governance, privacy regulations, and ethical information use.

Analytics 91

Analytics Analytics Database Data Warehouse 91

Smart Data Collective

MAY 20, 2019

GDPR helped to spur the demand for prioritized data governance , and frankly, it happened so fast it left many companies scrambling to comply — even still some are fumbling with the idea. Cloud Computing and Related Mechanics. The Rise of Regulation. But it’s not the only regulation or guideline that’s making waves.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Precisely

OCTOBER 16, 2023

Consequently, managers now oversee IT costs for their operations and engage directly in cloud computing contracts. This shift has influenced how cloud resources are designed and marketed, focusing on easy access, modularity, and straightforward deployment. The movement of data also grows more complex with data democratization.

Analytics 72

Analytics Analytics Big Data Analytics Big Data Analytics 72

Analytics Vidhya

NOVEMBER 21, 2022

This article was published as a part of the Data Science Blogathon. Introduction Currently, most businesses and big-scale companies are generating and storing a large amount of data in their data storage. Many companies are there which are completely data-driven.

Data Science 343

Data Science Analytics Analytics Azure 343

The Data Administration Newsletter

SEPTEMBER 21, 2022

The possibility for businesses to achieve efficiency, flexibility, and scalability is greatly enhanced by the fact that cloud computing technology is now available to all types of enterprises and marketplaces.

Cloud Computing 52

Cloud Computing Data Governance Big Data Big Data 52

Dataversity

NOVEMBER 24, 2023

The healthcare cloud computing market is growing rapidly and is expected to exceed $62 billion by 2030. As cloud-based solutions become more prevalent in healthcare, they are transforming clinical, finance, HR, and supply chain operations.

Cloud Computing 64

Cloud Computing Data Governance 64

Dataconomy

FEBRUARY 23, 2023

Some of these solutions include: Distributed computing: Distributed computing systems, such as Hadoop and Spark, can help distribute the processing of data across multiple nodes in a cluster. This approach allows for faster and more efficient processing of large volumes of data.

Big Data 91

Big Data Big Data Data Engineering Data Engineer 91

The Data Administration Newsletter

JUNE 5, 2024

As organizations increasingly migrate to the cloud, understanding the true cost of storing and managing data is essential. Cloud computing offers scalability, flexibility, and a range of services that can significantly enhance operational efficiency. However, these benefits come with a price.

Cloud Computing 52

Cloud Computing Cloud Data Data Governance 52

Dataversity

AUGUST 27, 2024

While the cloud promises unparalleled scalability and flexibility, navigating the transition can be complex. Here’s a straightforward guide to overcoming key challenges and making the most of cloud computing.

Cloud Computing 52

Cloud Computing Data Governance Data Quality 52

IBM Journey to AI blog

OCTOBER 16, 2023

It seeks to address modern challenges like cybercrime, data protection, deepfakes and online safety. Data stored in cloud computing services may be under the jurisdiction of more than one country’s laws. Regular audits ensure ongoing adherence to these guidelines, so make it part of the governance framework.

Data Governance 84

Data Governance Cloud Computing Data Classification Cloud Data 84

Analytics Vidhya

FEBRUARY 2, 2023

Introduction Data analytics solutions collect, process, and analyze data to extract insights and make informed business decisions. The need for a data analytics solution arises from the increasing amount of data organizations generate and the need to extract value from that data.

Analytics 301

Analytics Analytics Data Visualization Data Analysis 301

AWS Machine Learning Blog

DECEMBER 18, 2024

About the authors Marta Cavalleri is the Manager of the Artificial Intelligence Center of Excellence (CoE) at Fastweb, where she leads teams of data scientists and engineers in implementing enterprise AI solutions. She specializes in AI operations, data governance, and cloud architecture on AWS.

Clustering 103

Clustering AWS AI AI 103

Data Science Blog

NOVEMBER 15, 2023

Storing the Object-Centrc Analytical Data Model on Data Mesh Architecture Central data models, particularly when used in a Data Mesh in the Enterprise Cloud, are highly beneficial for Process Mining, Business Intelligence, Data Science, and AI Training.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Tableau

AUGUST 6, 2021

One way is to increase access to data and facilitate analysis and innovation by migrating to the cloud. Having data and analytics in the cloud removes barriers to access and trust while strengthening data governance. times more likely than data-aware organizations to use data to influence decisions 1.

Tableau 52

Tableau Cloud Computing Data Governance Business Intelligence 52

IBM Journey to AI blog

JUNE 29, 2023

These tools enable the extraction, transformation, and loading (ETL) of data from various sources. Automation streamlines data processes reduces manual effort and minimizes the risk of errors or data discrepancies.

Analytics 94

Analytics Analytics Business Intelligence Business Intelligence 94

Precisely

JANUARY 25, 2024

Many organizations adopt a long-term approach, leveraging the relative strengths of both mainframe and cloud systems. This integrated strategy keeps a wide range of IT options open, blending the reliability of mainframes with the innovation of cloud computing. Best Practice 5.

Data Governance 69

Data Governance Database Cloud Data Data Lakes 69

Alation

JULY 13, 2021

We have seen the COVID-19 pandemic accelerate the timetable of cloud data migration , as companies evolve from the traditional data warehouse to a data cloud, which can host a cloud computing environment. Accompanying this acceleration is the increasing complexity of data.

Cloud Data 52

Cloud Data Data Governance Data Warehouse Data Mining 52

Precisely

JANUARY 17, 2023

Data Volume, Variety, and Velocity Raise the Bar Corporate IT landscapes are larger and more complex than ever. Cloud computing offers some advantages in terms of scalability and elasticity, yet it has also led to higher-than-ever volumes of data.

Data Quality 97

Data Quality Machine Learning Machine Learning Data Silos 97

Alation

APRIL 14, 2022

Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth.

Data Governance 59

Data Governance ML ML Cloud Data 59

AWS Machine Learning Blog

JULY 2, 2024

This helps maintain data privacy and security, preventing sensitive or restricted information from being inadvertently surfaced or used in generated responses. This access control approach can be extended to other relevant metadata fields, such as year or department, further refining the subset of data accessible to each user or application.

AWS 136

AWS Data Governance Database Artificial Intelligence 136

ODSC - Open Data Science

JUNE 19, 2023

In particular, its progress depends on the availability of related technologies that make the handling of huge volumes of data possible. These technologies include the following: Data governance and management  — It is crucial to have a solid data management system and governance practices to ensure data accuracy, consistency, and security.

Big Data 96

Big Data Big Data Artificial Intelligence Artificial Intelligence 96

Alation

OCTOBER 12, 2021

Like many, the team at Cbus wanted to use data to more effectively drive the business. “Finding the right data was a real challenge,” recalls John Gilbert, Data Governance Manager. Implementing adaptive, active data governance. Evaluate and monitor data quality.

Analytics 52

Analytics Analytics Data Governance DataOps 52

Alation

NOVEMBER 4, 2022

Cost savings: By moving to a cloud computing model, for example, companies can shrink operating costs and scale the business. There are business level benefits, which will be things such as improving the customer experience, leveraging the technology to beat competition, and financial benefits like moving to a cloud computing model.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Data Governance 52

Pickl AI

NOVEMBER 4, 2024

Key Takeaways Data Engineering is vital for transforming raw data into actionable insights. Key components include data modelling, warehousing, pipelines, and integration. Effective data governance enhances quality and security throughout the data lifecycle. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Alation

DECEMBER 14, 2021

This design allows companies to accomplish much of what cloud-native solutions offer but with the benefits of an internal infrastructure. Enterprises that choose to be cloud-ready often build upon their existing investment in computing resources as they begin their transition into cloud computing. Cloud security.

Cloud Computing 52

Cloud Computing Azure AWS Data Quality 52

IBM Journey to AI blog

DECEMBER 20, 2023

It will also determine the talent the organization needs to develop, attract or retain with relevant skills in data science, machine learning (ML) and AI development. It will also guide the procurement of the necessary hardware, software and cloud computing resources to ensure effective AI implementation.

AI 89

AI AI Artificial Intelligence Artificial Intelligence 89

AWS Machine Learning Blog

NOVEMBER 16, 2023

Data Management – Efficient data management is crucial for AI/ML platforms. Regulations in the healthcare industry call for especially rigorous data governance. It should include features like data versioning, data lineage, data governance, and data quality assurance to ensure accurate and reliable results.

ML 129

ML ML AWS AI 129

Alation

JANUARY 17, 2023

These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? The rise of cloud computing and cloud data warehousing has catalyzed the growth of the modern data stack.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Precisely

MARCH 9, 2023

As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. Precisely helps enterprises manage the integrity of their data.

Data Warehouse 59

Data Warehouse Data Lakes Hadoop Big Data 59

phData

JANUARY 15, 2024

PCI-DSS (Payment Card Industry Data Security Standard): Ensuring your credit card information is securely managed. HITRUST: Meeting stringent standards for safeguarding healthcare data. CSA STAR Level 1 (Cloud Security Alliance): Following best practices for security assurance in cloud computing.

Data Governance 52

Data Governance Database Data Warehouse Cloud Computing 52

phData

OCTOBER 12, 2023

Adding in the built-in SlimCi allows you to ensure that you not only transform your data efficiently but that you aren’t wasting compute by recalculating transformations you’ve already run. By leveraging these tools, you can optimize your transformation pipelines by anywhere from 5x to 10x faster — saving on cloud compute costs.

Data Warehouse 52

Data Warehouse Database Cloud Data Data Pipeline 52

Pickl AI

OCTOBER 3, 2024

Supply Chain Optimization AIMaaS solutions help businesses optimise their supply chain operations by predicting demand fluctuations, managing inventory levels, and enhancing logistics efficiency through data-driven insights. Compliance with regulations such as GDPR is essential to mitigate risks associated with data handling.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Pickl AI

SEPTEMBER 25, 2024

Read Blog: How Can Adopting a Data Platform Simplify Data Governance For An Organization? COBIT (Control Objectives for Information and Related Technologies) is a globally recognised IT governance and management framework. You should learn: Applications of Cloud Computing: Real-World Examples.

Big Data 52

Big Data Big Data Data Governance Data Science 52

Pickl AI

SEPTEMBER 17, 2024

Technologies like stream processing enable organisations to analyse incoming data instantaneously. Scalability As organisations grow and generate more data, their systems must be scalable to accommodate increasing volumes without compromising performance.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

IBM Journey to AI blog

JULY 7, 2023

Learn how to create a holistic data protection strategy Staying on top of data security to keep ahead of ever-evolving threats Data security is the practice of protecting digital information from unauthorized access, corruption or theft throughout its entire lifecycle.

Data Governance 40

Data Governance Data Lakes Database Cloud Computing 40

Dataversity

MARCH 14, 2024

Many companies hesitate to migrate to the cloud for a variety of valid reasons. However, these migration concerns are often based on misconceptions that keep companies from realizing the financial and operational benefits of the cloud.

Data Governance 69

Data Governance Data Quality Cloud Computing 69