AWS Big Data

MARCH 27, 2023

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. Analytics Specialist based out of Northern Virginia, specialized in the design and implementation of analytics and data lake solutions. About the Authors Sandeep Bajwa is a Sr.

Data Warehouse 87

Data Warehouse Management Snapshot Data Lake 87

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 104

Data Lake Testing Management IoT 104

FineReport

MARCH 24, 2024

Their role extends to managing information for corporate decision-making, improving reporting systems , and performing complex analyses. Additionally, they facilitate organizational risk assessments, provide consulting services to leadership, and mentor junior analysts. JPMorgan Chase & Co.:

Statistics 52

Statistics Data mining Visualization Reporting 52

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

Having cost-effective off-site backup allows companies to focus more on their methodology for backing up data than the price of that method. Closer sites for data storage mean lower cost, but a higher risk to the company. Big Data Storage Concerns. Further sites may be less cost-effective but more secure. Conclusion.

Big Data 45

Big Data Data Lake Cost-Benefit Measurement 45

IBM Big Data Hub

JULY 7, 2023

Such mobile devices increase risk because they are authenticated and authorized in different ways and introduce new endpoints that need protection from cyber threats. Use dedicated data security software. Ensuring that permissions are removed when no longer needed lessens the security risk. Manage third-party-related risks.

Risk 40

Risk Data Governance Data Lake Data-driven 40

CIO Business Intelligence

MAY 21, 2024

It will serve as the “nerve center” of an enterprise’s IT operation, the company said, adding that the offering will generate insights across an enterprise’s folio of applications to help reduce risk and compliance processes.

Enterprise 88

Enterprise Management Data Lake Risk 88

CIO Business Intelligence

MARCH 13, 2024

Un altro campo di applicazione, ovviamente, è quello della gestione del credit risk, sempre basato sull’analisi di dati storici”. 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. Perché l’IA Generativa è così “importante”?

Machine Learning 105

Machine Learning Deep Learning Big Data Testing 105

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

OCTOBER 19, 2022

We kept the data warehouse but augmented it with a cloud-based enterprise data lake and ML platform. The core customer data stays pristine in the data warehouse, but once the data goes into the lake, the business functions can experiment. The CIO’s new remit regarding business risk Now I’ve got it.

IT 124

IT Digital Transformation Data Warehouse Risk 124

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk. Humans can’t keep up.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

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 for Good.

Data Lake 74

Data Lake Cost-Benefit Digital Transformation Risk 74

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 93

Software Reporting KPI Enterprise 93

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 44

Big Data Data Lake Internet of Things Enterprise 44

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. 8) Data Smart: Using Data Science to Transform Information into Insight, by John W.

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 77

Data Strategy Strategy IT Contextual Data 77

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

Laminar Security

JULY 14, 2023

If you find yourself in need of a water bottle, look no further than the Laminar booth (#2500), where we would be delighted to offer you a complimentary bottle and cloud data risk assessment by one of our DSPM experts – just ask when you see us! As companies pivot to cloud-based services to hold their data, these services (e.g.,

Risk 65

Risk Strategy Risk Management Technology 65

Andrew White

JANUARY 11, 2021

But we also know not all data is equal, and not all data is equally valuable. Some data is more a risk than valuable. Additionally, the value of data may change, and our own personal judgement of the the same data and its value may differ. Value Management or monetization. Product Management.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

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