Snowflake

OCTOBER 23, 2024

Reasons for this include poor data quality, inadequate risk controls, escalating costs and unclear business value. To succeed in adopting AI, organizations need a robust data strategy that ensures that the data used to train AI models is high quality, relevant and accessible.

Government 84

Government Algorithm Cloud Data Governance 84

Precisely

SEPTEMBER 26, 2024

Above all, you must remember that trusted AI starts with trusted data. And trusted data requires data integrity: data that’s accurate, consistent, and contextualized. If your business operates with fragmented data across silos, then your AI models are working with incomplete or inconsistent datasets. The impact?

Project 75

Project Government Data Governance Data Integration 75

Cloudera

DECEMBER 14, 2020

Cloudera SDX alleviates data security and governance concerns because the control policies are set once and consistently enforced across all components to provide a unified authentication process for all users and end-to-end data governance for all the data streaming through CDP. .

Process 75

Process Kafka Government Big Data 75

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

Knowledge Hut

JANUARY 24, 2024

Data Sources Tableau Software can access many data sources and servers. The thing about Power BI is that it supports different data sources. The ease of Using Tableau provides some crucial advantages for detailed data exploration and visualization.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

Snowflake

JULY 24, 2024

More often than not, your application will not live in a silo but will need to access financial market data to work effectively. Since products are almost instantly accessible — across clouds and regions — customers see accelerated time to value. Want a practical example? On Snowflake, that integration work is not necessary.

ETL Method 85

ETL Method Cloud Government Insurance 85

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 90

Insurance Data Government Data Governance 90

Cloudera

DECEMBER 20, 2022

In that sense, access to the auction is more conservative and can lead to inefficiencies in the use of assets, as some of the energy produced may be discarded if it is not saleable in the intraday market. To learn more: Read how utilities lever Cloudera to manage smart meters data.

Data Analytics 86

Data Analytics Retail Machine Learning Recruitment 86

Snowflake

AUGUST 21, 2023

Data-as-a-product: By considering data resources through a product lens, teams can adopt practices centered around quality and ease of use. Self-service data platforms: Consistent domain-agnostic access and security measures create a structure that is both clearly defined and repeatable across platforms/domains.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

Monte Carlo

JULY 15, 2024

Key Responsibilities of Data Owners The primary responsibility of a data owner is ensuring the quality, accuracy, and integrity of their assigned data assets. Career advancement: As organizations become more data-centric, your role as a data owner offers opportunities for career growth.

Pipeline-centric 52

Pipeline-centric Government Data Governance Retail 52

Cloudera

DECEMBER 16, 2024

As more businesses deploy enterprise-grade LLMs, they will require the support of GPUs for faster performance over traditional CPUs, and robust data governance systems with improved security and privacy. To dive deeper into these and other predictions, join us during our webinar on January 21.

Government 53

Government Healthcare Finance Cloud 53

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

Silectis

FEBRUARY 25, 2021

Many practitioners have never had access to data lineage information and may not know what they are missing. Assessing the value of lineage for your team requires defining its scope, understanding the specific benefits it delivers, and putting it in context within the broader architecture of tools used for data management.

ETL Tools 52

ETL Tools Metadata Data Data Engineering 52

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

Snowflake

JULY 24, 2024

More often than not, your application will not live in a silo but will need to access financial market data to work effectively. Since products are almost instantly accessible — across clouds and regions — customers see accelerated time to value. Want a practical example? On Snowflake, that integration work is not necessary.

ETL Method 52

ETL Method Cloud Government Insurance 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

Monte Carlo

JUNE 14, 2023

This frequently involves, in some order, extraction (from a source system), transformation (where data is combined with other data and put into the desired format), and loading (into storage where it can be accessed). Most organizations deploy some or all of these data pipeline architectures.

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. Everything must be tracked, access control management must be spot on.

Big Data 52

Big Data Data Architecture Database 52

Knowledge Hut

MARCH 26, 2024

Extensive experience in data architecture, database design, and data warehousing. Proficiency in database technologies such as SQL, NoSQL, and Big Data platforms. Strong understanding of data governance, security, and compliance requirements.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Monte Carlo

NOVEMBER 30, 2022

During IMPACT 2022: The Data Observability Summit, I had the distinct privilege of chatting with three data pros that have direct experience on how to implement data mesh architectures: Max Schultze at fashion and shoe retailer Zalando, Matheus Espanhol at technology solutions provider BairesDev, and Samia Rahman at biotech startup Seagen.

Data 40

Data Government Architecture Data Lake 40

Snowflake

NOVEMBER 11, 2024

This is not surprising when you consider all the benefits, such as reducing complexity [and] costs and enabling zero-copy data access (ideal for centralizing data governance). Richard Winston Interested in learning more about what’s on the horizon for financial services?

Banking 78

Banking Finance Retail Food 78

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

Many customers have been able to unlock enormous value from their data with Snowflake, including safely collaborating on sensitive data using Snowflake Data Clean Rooms and Data Governance features.

Healthcare 91

Healthcare Medical Datasets Entertainment 91

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

Precisely

SEPTEMBER 14, 2023

Sanctions and fraud: to know which businesses you can and can’t do business with, a data quality program is essential. The same goes for fraud detection – you need firm data quality and data governance controls to answer questions around internal and external threats. to learn more. appeared first on Precisely.

Data Integration 52

Data Integration Government Data Governance Programming 52