erwin

SEPTEMBER 3, 2020

To better understand and align data governance and enterprise architecture, let’s look at data at rest and data in motion and why they both have to be documented. Documenting data at rest involves looking at where data is stored, such as in databases, data lakes , data warehouses and flat files.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

CIO Business Intelligence

APRIL 22, 2024

Questi requisiti sono suddivisi in tre macroaree: governance, risk management e controllo della catena di fornitura. Per esempio, “i PoC aiutano a definire i parametri in base ai quali organizzare i data lake o i criteri per la digitalizzazione dei workflow.

Data Lake 105

Data Lake Testing Management IoT 105

Alation

JUNE 14, 2021

Do we know the business outcomes tied to data risk management? Once you have data classification then you can talk about whether you need to tokenize and why, or anonymize and why, or encrypt and why, etc.” Guided Navigation Guided navigation helps data stewards locate sensitive data. What do we know?

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

Smart Data Collective

OCTOBER 26, 2019

Big Data Storage Concerns. Large data lakes can take up a massive amount of space, and for off-site storage, this can be a significant concern in cost. Additionally, having a data storage of such magnitude off-site could potentially result in hefty transport fees if the off-site location is far away.

Big Data 45

Big Data Data Lake Cost-Benefit Measurement 45

FineReport

MARCH 24, 2024

Columbia University Certification of Professional Achievement in Data Sciences , offering foundational skills in algorithms, probability, statistics, machine learning, and exploratory data analysis. Microsoft: Offers roles for data analysts in product development, sales strategies, and customer insights across its services.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

MARCH 13, 2024

Anche le questioni di privacy e sicurezza sono aspetti che i CIO dovranno valutare per gli impatti sulla compliance e le attività di risk management. Intanto la ricerca continua a investire per risolvere il nodo della spiegabilità e diverse startup stanno sviluppando dei framework per l’explainable AI”.

Machine Learning 105

Machine Learning Deep Learning Big Data Testing 105

IBM Big Data Hub

JULY 7, 2023

Ensuring that permissions are removed when no longer needed lessens the security risk. Manage third-party-related risks. These include vendors, contractors and other outside individuals with access to your organization’s data. In 2022, it took an average of 277 days to identify and contain a data breach.

Risk 40

Risk Data Governance Data Lake Data-driven 40

Domino Data Lab

APRIL 3, 2019

Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Somehow, the gravity of the data has a geological effect that forms data lakes.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

CIO Business Intelligence

FEBRUARY 22, 2024

The perfect ESG software would encompass all lifecycle elements of an ESG strategy, be a potent program management tool, a risk management tool, provider of analytics, and a vehicle for accountability and verification.” That’s where the single source of truth comes into perspective and increases performance,” Karcher says.

Software 98

Software Reporting KPI Enterprise 98

Cloudera

NOVEMBER 18, 2021

By adopting a custom developed application based on the Cloudera ecosystem, Carrefour has combined the legacy systems into one platform which provides access to customer data in a single data lake. EVA unifies data from MTN’s different operator systems, creating a 360° view of subscribers.

Data Lake 78

Data Lake Cost-Benefit Digital Transformation Risk 78

CIO Business Intelligence

OCTOBER 19, 2022

“So, at Zebra, we created a hub-and-spoke model, where the hub is data engineering and the spokes are machine learning experts embedded in the business functions. We kept the data warehouse but augmented it with a cloud-based enterprise data lake and ML platform.

IT 124

IT Digital Transformation Data Warehouse Risk 124

Corinium

APRIL 25, 2019

I’ve found many IT as well as Business leaders have a mental model of data in that it is simply part of, or belongs to, a specific database or application, and thus they falsely conclude that just procuring a tool to protect that given environment will sufficiently protect that data. In data-driven organizations, data is flowing.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Cloudera

JANUARY 22, 2019

Forrester describes Big Data Fabric as, “A unified, trusted, and comprehensive view of business data produced by orchestrating data sources automatically, intelligently, and securely, then preparing and processing them in big data platforms such as Hadoop and Apache Spark, data lakes, in-memory, and NoSQL.”.

Big Data 45

Big Data Data Lake Internet of Things Enterprise 45

datapine

AUGUST 29, 2022

The new edition also explores artificial intelligence in more detail, covering topics such as Data Lakes and Data Sharing practices. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz. The subsequent chapters focus on predictive and descriptive analysis.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Cloudera

DECEMBER 14, 2022

OCBC Bank optimizes customer experience & risk management with multi-phased data initiative. The company recently migrated to Cloudera Data Platform (CDP ) and CDP Machine Learning to power a number of solutions that have increased operational efficiency, enabled new revenue streams and improved risk management.

Data Strategy 82

Data Strategy Strategy IT Contextual Data 82

DataRobot Blog

MARCH 7, 2023

Customers can build, run, and manage applications across multiple clouds, on-premises, and at the edge, with the tools of their choice. The DataRobot AI Platform seamlessly integrates with Azure cloud services, including Azure Machine Learning, Azure Data Lake Storage Gen 2 (ADLS), Azure Synapse Analytics, and Azure SQL database.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

Andrew White

JANUARY 11, 2021

What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Value Management or monetization. Risk Management (most likely within context of governance). Product Management. Does Data warehouse as a software tool will play role in future of Data & Analytics strategy?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Laminar Security

JULY 14, 2023

And, if the other conferences we attended this year, (RSAC, Gartner Security & Risk Management Summit, Evanta CISO Summits) serve as an indication, cloud data security remains a top priority, continuing to dominate the agenda of crucial topics to be discussed among industry leaders.

Risk 65

Risk Strategy Risk Management Technology 65

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52