DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . ModelOp — Governs, monitors, and orchestrates models across the enterprise. Process Analytics.

Consulting 124

Consulting Machine Learning Data Science Data Pipeline 124

Cloudera

APRIL 19, 2022

Despite a sophisticated level of awareness about big data in Australia, there remains a lack of strong leadership and buy-in from teams across the board: according to our research, only 12% of Australian IT decision makers said that their organisation interacts with all stages of the data lifecycle process. . Becoming data-driven.

Big Data 98

Big Data Government Data Accessibility 98

Cloudera

SEPTEMBER 26, 2023

IBM and Cloudera’s common goal is to accelerate data-driven decision making for enterprise customers, working on defining and executing the best solution for each customer. You can now elevate your data potential and activate AI’s capabilities through the synergic integration between IBM watsonx and Cloudera.

Kafka 100

Kafka Technology IT Government 100

Cloudera

JULY 29, 2022

Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). However, not all these organizations will be successful in using data to drive business value and increase profits. Is yours among the organizations hoping to cash in big with a big data solution?

Data Architecture 94

Data Architecture Architecture Unstructured Data Government 94

DataKitchen

DECEMBER 7, 2021

Disrupting Data Governance: A Call to Action, by Laura B. If your data nerd is all about bucking the status quo, Disrupting Data Governance is the book for them. ???. The old adage “if ain’t broke don’t fix it” doesn’t apply to data governance. Author Laura B. You can purchase the book here.

Data Governance 98

Data Governance Big Data Government Data Science 98

Snowflake

NOVEMBER 21, 2024

By empowering travel and hospitality brands to act on all of their data, a Composable CDP enables personalized experiences that drive guest loyalty and satisfaction. Trusted data governance and security controls : Travel brands can leverage Snowflake capabilities to help comply with data regulations.

Hospitality 82

Hospitality Entertainment Data Governance Government 82

Snowflake

JANUARY 19, 2023

Vikrant Bhan, Group Head Analytics, Data and Integration, Nestlé Yuta Hishinuma , CTO, Chura Data Inc. Zachery Anderson , Chief Data and Analytics Officer, NatWest Group As Thomas Edison said, “The value of an idea lies in the use of it.” The same is true for data.

Data 111

Data Data Governance Data Architecture Government 111

Cloudera

DECEMBER 14, 2020

One trend that we’ve seen this year, is that enterprises are leveraging streaming data as a way to traverse through unplanned disruptions, as a way to make the best business decisions for their stakeholders. . Today, a new modern data platform is here to transform how businesses take advantage of real-time analytics.

Process 75

Process Kafka Government Big Data 75

Cloudera

NOVEMBER 25, 2021

A modern, cloud-native data architecture with separation of compute and storage, containerized data services (for agility and elasticity), and object storage (for scale and cost-efficiency). Security and governance framework (SDX) across all environments to ensure compliance. Common Use Cases for Cloud and Data Solutions .

Amazon Web Services 96

Amazon Web Services Cloud AWS Machine Learning 96

Precisely

JANUARY 12, 2023

That means businesses want to provide hyper-personalized experiences, but they also need to ensure they’re using, sharing, and protecting customer data with the utmost integrity. We’re focused on trying to provide context for companies to understand their data, and to be able to make better, more confident, business decisions.

Government 80

Government Data Integration Data Programming 80

Cloudera

DECEMBER 12, 2022

These two instructions really struck me: “The future data ecosystem should leverage distributed data management components—which may run on multiple clouds and/or on premises—but are treated as a cohesive whole with a high degree of automation. And they confirm to me that the direction on data management is becoming very clear: .

Cloud 100

Cloud Entertainment Telecommunication Insurance 100

The Modern Data Company

APRIL 12, 2023

The market’s technical talent shortage and the high demand for analytics experts can make it difficult for healthcare organizations to find and retain the in-house expertise they need to design, deploy, and maintain cutting-edge data solutions.

Healthcare 98

Healthcare Medical Hospitality Electronics 98

Cloudera

NOVEMBER 18, 2021

Every one of our 22 finalists is utilizing cloud technology to push next-generation data solutions to benefit the everyday people who need it most – across industries including science, health, financial services and telecommunications. Security & Governance Leadership.

Banking 82

Banking Data Lake Telecommunication Data 82

Precisely

MARCH 6, 2023

There has been a tremendous shift as employees, consumers, as well as investors are making more conscious decisions based on environmental, social and governance ( ESG ) factors. This is also driving further scrutiny around the data integrity practices that impact their other business interests.

Data Integration 52

Data Integration Government Data Governance Datasets 52

Knowledge Hut

MARCH 20, 2024

Speaking from experience, the data engineers in this role are right in the thick of it all. From start to finish, Azure data engineer roles and responsibilities revolve around designing, implementing, and managing data solutions specifically tailored for the Azure platform. Who is Azure Data Engineer?

Data Engineer 52

Data Engineer Data Engineering Engineering Data Governance 52

Knowledge Hut

MARCH 15, 2024

Speaking from experience, the data engineers in this role are right in the thick of it all. From start to finish, Azure data engineer roles and responsibilities revolve around designing, implementing, and managing data solutions specifically tailored for the Azure platform. Who is Azure Data Engineer?

Data Engineer 52

Data Engineer Data Engineering Engineering Data Governance 52

Knowledge Hut

MARCH 28, 2024

Azure Data Engineer Career Demands & Benefits Azure has become one of the most powerful platforms in the industry, where Microsoft offers a variety of data services and analytics tools. As a result, organizations are looking to capitalize on cloud-based data solutions.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

The Modern Data Company

APRIL 15, 2024

Data Products aim to make this a reality by simplifying how data is accessed, used, and governed across your organization. ” You can tailor data solutions to specific projects or departments without losing control or visibility. This proactive approach to governance supports trustworthy decision-making.

Government 52

Government Metadata Data Data Management 52

Snowflake

JULY 13, 2023

ESO is the largest software and data solutions provider to emergency medical services (EMS) agencies and fire departments in the U.S. With a mission to improve community health and public safety through the power of data, ESO makes software that helps save lives.

Medical 94

Medical Hospitality Transportation Scala 94

Precisely

JANUARY 6, 2023

Environmental, social, and governance (ESG) initiatives are topics of discussion everywhere – in the workplace, social media, news outlets, and beyond. Recent public advocacy efforts around climate issues, diversity and inclusion, data privacy, and more have been driving forces in pushing ESG to the forefront. And for good reason.

Government 52

Government Education Data Integration Media 52

The Modern Data Company

MAY 8, 2023

Potential downsides of data lakes include governance and integration challenges. Data lakes often lack robust data governance, leading to data quality, consistency, and security issues. It provides a flexible, scalable, and secure data infrastructure that can adapt to evolving business needs.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

Potential downsides of data lakes include governance and integration challenges. Data lakes often lack robust data governance, leading to data quality, consistency, and security issues. It provides a flexible, scalable, and secure data infrastructure that can adapt to evolving business needs.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

Potential downsides of data lakes include governance and integration challenges. Data lakes often lack robust data governance, leading to data quality, consistency, and security issues. It provides a flexible, scalable, and secure data infrastructure that can adapt to evolving business needs.

Data Management 52

Data Management Management Data Lake Data Governance 52

Towards Data Science

MAY 19, 2023

Tech Target , defines a data silo as a repository of data controlled by one department or business unit and, therefore, not wholly or easily accessible by other departments within the same organisation. Absence or poor adoption of company-wide guidelines surrounding the creation and deployment of data products.

Pipeline-centric 104

Pipeline-centric Data Software Engineer Software Engineering 104

Snowflake

JUNE 13, 2023

“We needed to clear a large data backlog to do things faster—including producing reports at high speed,” said Sanjeev Kumar, Head of Data Management and Analytics at tesa. “By By using Snowflake’s platform as the analytical engine behind our Power BI and SAP data, we now have a much more governable data solution.

Cloud 52

Cloud Manufacturing Datasets Scala 52

Ascend.io

DECEMBER 4, 2024

Assign cross-functional teams to manage these data products end-to-end to maintain quality, accessibility, and reliability. Standardize Data Governance Across Teams: Standardization is key to successfully implementing either framework.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

AltexSoft

FEBRUARY 11, 2023

In the EU, the General Data Protection Regulation (GDPR) sets guidelines for collecting, storing, and processing personal information. This privacy law must be kept in mind when building data architecture. It defines metrics and best practices to ensure data quality as well as data privacy and security.

Data Architect 87

Data Architect Certification Generalist Big Data 87

The Modern Data Company

MAY 10, 2023

Integration with existing systems: Ensure the solution can integrate seamlessly with your existing tools, applications, and infrastructure. Data governance and security: Evaluate the native security, data governance, and data quality management features. Needs to maintain data consistency and quality.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

Integration with existing systems: Ensure the solution can integrate seamlessly with your existing tools, applications, and infrastructure. Data governance and security: Evaluate the native security, data governance, and data quality management features. Needs to maintain data consistency and quality.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

Integration with existing systems: Ensure the solution can integrate seamlessly with your existing tools, applications, and infrastructure. Data governance and security: Evaluate the native security, data governance, and data quality management features. Needs to maintain data consistency and quality.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Ascend.io

DECEMBER 4, 2024

Assign cross-functional teams to manage these data products end-to-end to maintain quality, accessibility, and reliability. Standardize Data Governance Across Teams: Standardization is key to successfully implementing either framework.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Data Engineering Weekly

MARCH 30, 2023

We discussed that the siloed nature of many data products has led to industry consolidation, ultimately benefiting customers. Throughout our discussion, we touch on how the Modern Data Stack (MDS) movement has resulted in various specialized tools in areas such as ingestion, cataloging, governance, and quality.

Machine Learning 52

Machine Learning Government AWS Data Engineer 52

Monte Carlo

MARCH 28, 2023

A good description of these core responsibilities can be sen in an Amica Mutual Insurance job description: Responsible for creating and implementing an enterprise-wide Data Quality (DQ) strategy by working with business and technology partners to ensure alignment and dedication to objectives.

Insurance 59

Insurance Programming Language Manufacturing Healthcare 59

Cloudera

SEPTEMBER 4, 2018

With Accenture’s commitment to delivering digital transformation and customer insight and Cloudera’s industry-leading, modern data platforms, businesses can modernize their IT landscape and gain a 360-degree view of data. About the Accenture GDPR Solution.

Metadata 48

Metadata Machine Learning Government Big Data 48

Knowledge Hut

NOVEMBER 16, 2023

Go through the following whitepapers to prepare for this certification exam: Encrypting Data at Rest – This whitepaper covers all the government or industry regulations, organizational policies involved in encryption at rest for protecting the data.

AWS 52

AWS Certification Amazon Web Services Machine Learning 52

Precisely

FEBRUARY 14, 2023

A bot that can’t find the right data for a customer interaction slows or halts the process and negatively impacts customer satisfaction. And since customer data is shared across policy, billing, claims, and other areas of your organization, this makes data quality and data governance important enterprise concerns.

Insurance 52

Insurance Management Data Governance Data Integration 52

Precisely

FEBRUARY 14, 2023

A bot that can’t find the right data for a customer interaction slows or halts the process and negatively impacts customer satisfaction. And since customer data is shared across policy, billing, claims, and other areas of your organization, this makes data quality and data governance important enterprise concerns.

Insurance 52

Insurance Management Data Governance Government 52