Snowflake

SEPTEMBER 11, 2023

This wide adoption of legislation requires organizations that store or process personally identifiable information (PII) to have greater control over that data, and better transparency about how they store it. Snowflake provides a rich set of product security features to further protect personal information.

Cloud 78

Cloud Electronics Government Data Governance 78

Cloudera

SEPTEMBER 29, 2021

Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. . This data can also provide crucial insights should a disease outbreak occur, allowing for an effective and rapid response to curb further outbreaks. .

Medical 81

Medical Government Hospitality Electronics 81

Cloudera

SEPTEMBER 24, 2021

They were using R and Python, with NoSQL and other open source ad hoc data stores, running on small dedicated servers and occasionally for small jobs in the public cloud. Data governance was completely balkanized, if it existed at all. The Well-Governed Hybrid Data Cloud: 2018-today.

Data Architect 94

Data Architect Government NoSQL Big Data 94

Cloudera

MAY 2, 2022

from China to the UK , new data governance and protection rules are coming in on an almost daily basis. This is not just to implement specific governance rules — such as tagging, metadata management, access controls, or anonymization — but to prepare for the potential for rules to change in the future. .

Cloud 101

Cloud Government Healthcare Metadata 101

Monte Carlo

SEPTEMBER 27, 2023

It’s crucial for all teams to maintain transparency and visibility into data in order to maintain fair business practices — and avoid costly, public embarrassments. Testing your data early and often helps detect common quality issues before they have the chance to impact downstream data consumers or products.

Data Governance 52

Data Governance Government Data Data Pipeline 52

Databand.ai

DECEMBER 29, 2022

Follow Ravit on LinkedIn 5) Priya Krishnan Head of Product Management, Data and AI at IBM Priya is an innovative, customer-focused, data-driven product executive with over 16 years of experience in global product management, strategy, and GTM roles to commercialize and monetize in-demand enterprise solutions.

BI 52

BI Consulting Data Science Data Governance 52

AltexSoft

NOVEMBER 23, 2021

As a result, data virtualization enabled the company to conduct advanced analytics and data science, contributing to the growth of the business. Global investment bank: Cost reduction with more scalable and effective data management. The platform has connectors to pretty much any data source, business tool, and application.

Process 69

Process Data Lake Metadata Data Warehouse 69

Cloudera

DECEMBER 2, 2020

After experiencing negative growth in 2018, Telkomsel made the strategic decision to focus solely on becoming a trusted provider of mobile, digital lifestyle, services, and solutions. With access to vast amounts of data from its customer base, the company knew its ability to mine this data would be a key driver of positive transformation.

Telecommunication 65

Telecommunication Data Science Business Intelligence Data Warehouse 65

Cloudera

FEBRUARY 11, 2019

The root cause is firmly entrenched in legacy systems and traditional data governance challenges that not only result in data silos but also the misguided belief that data privacy is diametrically opposed to effective exploration of information. Governing for compliance.

Government 57

Government Data Governance Data Science Machine Learning 57

Databand.ai

DECEMBER 20, 2022

Wannes is skilled in R, Python, data analysis, and data mining and regularly writes and speaks at events. He is also active on LinkedIn, sharing his expertise around data ops, data governance, data strategy, and data mesh.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

Cloudera

OCTOBER 30, 2018

These next-generation applications do more than consolidate a single view of the customer; they add a layer of data governance, synthesis, and identity, which powers a dynamic customer graph to fulfill the vision of contextual experiences.

Unstructured Data 42

Unstructured Data Data Lake Algorithm Machine Learning 42

Cloudera

FEBRUARY 14, 2018

We share the same obstacles our customers face – most of which are around data collection, data quality (or lack thereof), data governance as well as misalignment or miscommunication about who is responsible and accountable for managing and analyzing different datasets and analytical outcomes.

Professional Services 44

Professional Services Finance Data Cloud 44

Monte Carlo

APRIL 24, 2023

AWS Lake Formation offers an alternative for data teams looking for a more structured data lake or data lakehouse solution. What sets ADLS apart from its competitors is its focus on enterprise-grade security, data governance, and compliance features.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Knowledge Hut

MARCH 26, 2024

Demand for Solutions Architects: The Bureau of Labour Statistics (BLS) projects a 5% increase in solutions architect jobs, or computer network architects, between 2018 and 2028. Extensive experience in data architecture, database design, and data warehousing.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Monte Carlo

MARCH 14, 2023

They maintain a modern data stack built on Google Cloud Platform, and as Emmanuel described it, “We have a very strong belief that data-informed decisions create the most long-term value.” Kineret agreed, telling us, “We don’t make any decision without consulting data.” And part of that is data observability and data quality.

Transportation 40

Transportation Government Google Cloud Architecture 40