Cloudera

OCTOBER 26, 2020

To be able to capitalize on this data storm, organizations must find a better balance between the security and usability related to data access. Founded in good data governance, three fundamental steps ensure access to data is both secure and usable. . Quickly onboard data. With no compromise required.

Data Security 117

Data Security IT Unstructured Data Government 117

Snowflake

FEBRUARY 21, 2023

Financial institutions also continue to be challenged to understand and identify PII to prevent inadvertently disclosing it, all while working to implement data governance policies, which result in better accountability and help identify risks while staying true to business initiatives.

Banking 64

Banking Finance Data Governance Portfolio 64

Snowflake

JULY 31, 2024

To accomplish these goals, AMCs need a modern data strategy that includes a robust, cloud-based data foundation and capabilities such as generative AI, data and AI applications, easy access to third-party data, and seamless data sharing and collaboration.

Medical 52

Medical Healthcare Insurance Hospitality 52

Cloudera

AUGUST 12, 2021

A 2019 HBR article mentioned how organizational decisions backed by data have instilled more confidence and reduced risk. Strong and consistent enforcement of data governance and controls across multiple environments ensures that data lineage is clear, justifying insights from analysis or predictions from models.

Manufacturing 111

Manufacturing Insurance Consulting Education 111

Snowflake

AUGUST 21, 2023

Self-service data platforms: Consistent domain-agnostic access and security measures create a structure that is both clearly defined and repeatable across platforms/domains. Federated computational governance: Whether manual or automated, global data governance and security measures ensure protection and compliance throughout domains.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

Data Engineering Weekly

JUNE 18, 2023

link] Sponsored: [dbt + Monte Carlo Webinar] 5 Critical Steps for Building Impactful Data Organizations Building a data strategy from scratch? Join Monte Carlo, dbt, and Shiftkey's VP of Data & Analytics, John Steinmetz. You're not alone!

Data Engineering 52

Data Engineering Data Engineer Engineering MySQL 52

Cloudera

DECEMBER 14, 2020

We’ve seen organizations invest in big data solutions, and now, we’ve increasingly seen them want to build on that investment and move towards building a modern architecture that’ll help them leverage stream processing and streaming analytics. Cloudera Data Platform (CDP) is the new data cloud built for the enterprise.

Process 70

Process Kafka Government Big Data 70

Snowflake

JANUARY 23, 2024

“Skinny Mobile, a division of Spark New Zealand, has adopted an end-to-end Snowflake unified analytics platform that ingests over a billion rows of data daily,” says Eric Bonhomme, Cloud Architect and Product Owner at Spark New Zealand. Ready to see Snowpark ML in action?

Machine Learning 121

Machine Learning Metadata Python Telecommunication 121

Snowflake

JULY 24, 2024

Snowflake calls this Snowgrid , a cross-cloud technology layer that interconnects your application with more than 9,800 (as of April 2024) other organizations in the AI Data Cloud, facilitating live connections with your customers, partners and other third-party providers, no matter which cloud provider they are on.

ETL Method 52

ETL Method Cloud Government Insurance 52

Precisely

JANUARY 3, 2023

Build supply chain process monitoring and measurement capabilities Develop a robust set of measures unique to your business needs and objectives – don’t just “copy and paste” from your previous measures or those of your peers Deploy machine learning-based predictive algorithms to detect anomalies before they become bigger downstream issues Integrate (..)

Process 59

Process Data Governance Algorithm Data Integration 59

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

Knowledge Hut

JANUARY 24, 2024

Supports numerous data sources It connects to and fetches data from a variety of data sources using Tableau and supports a wide range of data sources, including local files, spreadsheets, relational and non-relational databases, data warehouses, big data, and on-cloud data.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

Cloudera

DECEMBER 20, 2022

Going into more technological aspects, the data platforms that must support this decision-making must be able to operate in a hybrid environment in which there is integration with the applications that reside in the company’s own data centers, as well as the possibility of working in public cloud environments. .

Data Analytics 79

Data Analytics Retail Machine Learning Recruitment 79

Knowledge Hut

MARCH 26, 2024

Cloud Computing Adoption: As organizations migrate their infrastructure to the cloud, there's a high demand for Solutions Architects who can design cloud-native solutions and optimize cloud resources. Cloud solution architect jobs are highly available.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Cloudera

JANUARY 27, 2022

I have been researching more about how we can use the new data from those devices to design more innovative insurance products while being aware that these should all be contingent upon customer opt-in. I recently attended one of Majesco’s excellent webinars hosted by Denise Garth, Chief Strategy Officer. For example, in the U.S.,

Insurance 83

Insurance Data Government Data Governance 83

Monte Carlo

JUNE 14, 2023

Data pipeline architecture typically consisted of hardcoded pipelines that cleaned, normalized, and transformed the data prior to loading into a database using an ETL pattern. With cost and physical compute/storage limitations largely lifted, data engineers started to optimize data pipeline architecture for speed and agility.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Ascend.io

MAY 16, 2023

This is the transcript for this seminal conversation of how a global media company is evolving its data strategy toward a working data mesh. The webinar was held in March 2022, as a conversation between Simon Smith, Chief Data Officer at News Corp. and Tom Weeks, COO at Ascend. to the three mesh planes.

Big Data 52

Big Data Data Architecture Database 52

Snowflake

NOVEMBER 11, 2024

Data and AI architecture matter “Before focusing on AI/ML use cases such as hyper personalization and fraud prevention, it is important that the data and data architecture are organized and structured in a way which meets the requirements and standards of the local regulators around the world.

Banking 76

Banking Finance Retail Food 76

Precisely

SEPTEMBER 30, 2024

Data enrichment adds context to existing information, enabling business leaders to draw valuable new insights that would otherwise not have been possible. Managing an increasingly complex array of data sources requires a disciplined approach to integration, API management, and data security.

Data Governance 52

Data Governance Insurance Government Machine Learning 52

Snowflake

OCTOBER 24, 2024

The Snowflake AI Data Cloud has democratized data for thousands of customers, removing data silos and powering data sharing and collaboration use cases. However, some highly sensitive data has remained off-limits due to regulatory requirements and privacy concerns — until now.

Healthcare 89

Healthcare Medical Datasets Entertainment 89

Monte Carlo

MAY 17, 2023

Many times this is by freeing them from having to manually implement and maintain hundreds of data tests as was the case with Contentsquare and Gitlab. “We We had too many manual data checks by operations and data analysts,” said Otávio Bastos, former global data governance lead, Contentsquare. “It

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Many times this is by freeing them from having to manually implement and maintain hundreds of data tests as was the case with Contentsquare and Gitlab. “We We had too many manual data checks by operations and data analysts,” said Otávio Bastos, former global data governance lead, Contentsquare. “It

Data Pipeline 52

Data Pipeline Data Engineering Data Engineer Data 52