Cloudera

JUNE 1, 2021

In summary, the next chapter for Cloudera will allow us to concentrate our efforts on strategic business opportunities and take thoughtful risks that help accelerate growth. Cazena powers the delivery of instant cloud data lakes, making it possible to accelerate time to analytics and AI/ML from months to minutes. 650-644-3900.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

CIO Business Intelligence

OCTOBER 18, 2023

But if there are any stop signs ahead regarding risks and regulations around generative AI, most enterprise CIOs are blowing past them, with plans to deploy an abundance of gen AI applications within the next two years if not already. A recent survey of nearly 1,000 IT decision-makers conducted by Foundry underscores this. “As

Risk 131

Risk Manufacturing Enterprise Technology 131

erwin

OCTOBER 8, 2020

No less daunting, your next step is to re-point or even re-platform your data movement processes. And you can’t risk false starts or delayed ROI that reduces the confidence of the business and taint this transformational initiative. The metadata-driven suite automatically finds, models, ingests, catalogs and governs cloud data assets.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

Ontotext

FEBRUARY 12, 2024

This calls for additional planning, documentation, and testing. A data mesh will likely require more engineers to get started, so a critical mass is needed for successful adoption. Processes for data quality checks, data maintenance, and guidelines need to be established. For instance, JPMorgan Chase & Co.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

IBM Big Data Hub

APRIL 9, 2024

This allows the Masters to scale analytics and AI wherever their data resides, through open formats and integration with existing databases and tools. “Hole distances and pin positions vary from round to round and year to year; these factors are important as we stage the data.” Lastly, watsonx.data pulls from live feeds.

Management 84

Management IT Machine Learning Metrics 84

erwin

OCTOBER 31, 2019

While sometimes at rest in databases, data lakes and data warehouses; a large percentage is federated and integrated across the enterprise, introducing governance, manageability and risk issues that must be managed. So being prepared means you can minimize your risk exposure and the damage to your reputation.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

erwin

JANUARY 11, 2019

A company can’t effectively implement data governance – documenting and applying business rules and processes, analyzing the impact of changes and conducting audits – if it fails at data management. The problem usually starts by relying on manual integration methods for data preparation and mapping.

Data Governance 40

Data Governance Risk Metadata Management 40

erwin

APRIL 2, 2021

With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance. Lack of a solid data governance foundation increases the risk of data-security incidents.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

CIO Business Intelligence

DECEMBER 4, 2023

The ways modern data is used, processed, and analyzed are continuously evolving as machine learning technology becomes better at these tasks. With constant advances in intelligent document processing, compute power, DevOps workflows, and AI, the content, context, and value of unstructured data is rapidly increasing.

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

Ontotext

MAY 2, 2024

Storage-centric approach In the storage-centric approach, people try to address data silos by throwing everything in a data lake or a data warehouse. But, although, this helps somewhat in terms of architecture, soon these data lakes become unwieldy.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

AWS Big Data

MARCH 26, 2024

The updated Data Analytics Lens outlines the most up-to-date steps for performing an AWS Well-Architected review that empowers you to assess and identify technical risks of your data analytics platforms.

Data Analytics 56

Data Analytics Analytics Big Data Data Lake 56

CIO Business Intelligence

SEPTEMBER 21, 2023

The phrase “existential risk” is now everywhere—not in the sense the AI would destroy humanity, but that it would make business functions, or even entire companies, obsolete. If you take something slightly risky and make it a thousand times bigger, the risks are amplified,” he says. But it’s a sign of what’s to come. “If

Enterprise 126

Enterprise Consulting Modeling Cost-Benefit 126

CIO Business Intelligence

DECEMBER 13, 2022

We’re also doing a lot with population health management, performing more comprehensive patient assessments, managing our high-risk patients, stabilizing transitions of care, optimizing outpatient care, and really trying to call out things that help us understand disease progression.

Strategy 93

Strategy Technology Digital Transformation Data Lake 93

Cloudera

FEBRUARY 12, 2024

Most cloud users do not like opening firewall rules because that will introduce the risk of exposing private data on the internet. Please refer to the Microsoft documentation for detail. Please refer to Microsoft documentation for the details of setting up an Azure DNS Private Resolver.

Data Warehouse 52

Data Warehouse Machine Learning Data Lake Management 52

Alation

FEBRUARY 13, 2020

Forrester created a framework for evaluating the financial impact of the Alation Data Catalog on their organizations. They looked at the benefits, costs and risks associated with a data catalog investment. Their research is documented in an extensive report published today.

ROI 52

ROI Cost-Benefit Unstructured Data Data Lake 52

Alation

FEBRUARY 13, 2020

Figure 1 illustrates the typical metadata subjects contained in a data catalog. Figure 1 – Data Catalog Metadata Subjects. Datasets are the files and tables that data workers need to find and access. They may reside in a data lake, warehouse, master data repository, or any other shared data resource.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

Ontotext

MARCH 8, 2023

However, this information is typically stored in disparate locations, often hidden within departmental documents or applications. Use Case #4: Financial Risk Detection and Prediction The financial industry is made up of a network of markets and transactions. Which financial institutions have filed similar risk compliance issues?

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

IBM Big Data Hub

JULY 7, 2023

Create an incident response plan , a written document that details how you will respond before, during and after a suspected or confirmed security threat. Such mobile devices increase risk because they are authenticated and authorized in different ways and introduce new endpoints that need protection from cyber threats.

Risk 40

Risk Data Governance Data Lake Data-driven 40

Alation

APRIL 18, 2023

Data profiling helps organizations understand the data they possess with an eye to its quality level, which is vital for effective data governance. Do you need to define a data quality rule and add that to the profile? Do you need to add metadata to information to put it in a data lake?

IT 52

IT Metadata Data Quality Data Governance 52

Jet Global

OCTOBER 7, 2020

There are five categories of data entities based on their functions and the type of data that they serve: Parameter (e.g., Document (e.g., When it comes to using data entities, you have two choices: out-of-the-box or custom data entities. General Ledger). Reference (e.g., Tax Codes). Master (e.g., Customers).

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

AWS Big Data

MARCH 1, 2024

One of the bank’s key challenges related to strict cybersecurity requirements is to implement field level encryption for personally identifiable information (PII), Payment Card Industry (PCI), and data that is classified as high privacy risk (HPR). Only users with required permissions are allowed to access data in clear text.

Data Lake 104

Data Lake Data Warehouse Management Risk 104

datapine

APRIL 15, 2020

Working software over comprehensive documentation. The agile BI implementation methodology starts with light documentation: you don’t have to heavily map this out. But before production, you need to develop documentation, test driven design (TDD), and implement these important steps: Actively involve key stakeholders once again.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

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 73

Data Lake Cost-Benefit Digital Transformation Risk 73

Cloudera

JANUARY 30, 2023

Have you ever considered how much data a single person generates in a day? Every web document, scanned document, email, social media post, and media download? One estimate states that “ on average, people will produce 463 exabytes of data per day by 2025.” Now consider that the federal government has approximately 2.8

IoT 79

IoT Data Architecture Data Lake Machine Learning 79

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

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

AWS Big Data

MAY 16, 2023

The exact length of time required for data storage varies depending on the specific regulation and the type of data being stored. The reason for these data retention periods is to ensure that companies aren’t keeping personal data longer than necessary, which could increase the risk of data breaches and other security incidents.

Data Lake 72

Data Lake Cost-Benefit Optimization Testing 72

Cloudera

JANUARY 21, 2021

And you also already know siloed data is costly, as that means it will be much tougher to derive novel insights from all of your data by joining data sets. Of course you don’t want to re-create the risks and costs of data silos your organization has spent the last decade trying to eliminate. Must you be: .

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

CIO Business Intelligence

SEPTEMBER 21, 2022

CMOs need to look for ways to leverage customer data to deliver superior and highly tailored experiences to customers. CIOs need to ensure that the business’ use of data is compliant, secure, and done according to best practices. They need to assure the board that the risk from data is minimised. Gaining Executive Buy-In.

Risk 83

Risk Data Lake Marketing Interactive 83

AWS Big Data

JUNE 6, 2023

You can use AWS Glue to create, run, and monitor data integration and ETL (extract, transform, and load) pipelines and catalog your assets across multiple data stores. Hundreds of thousands of customers use data lakes for analytics and ML to make data-driven business decisions. Choose the Data quality tab.

Data Quality 77

Data Quality Data Lake Data-driven Metrics 77

Alation

APRIL 6, 2023

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. This blog focuses on governing spreadsheets that contain data, information, and metadata, and must themselves be governed. Leaders seek to use strategic data with confidence more often.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

Cloudera

AUGUST 9, 2022

Disaster recovery and business-continuity planning is primarily focused on managing and reducing risk. The DRRA focuses on describing how to think about reliability, resiliency, and recovery for the Cloudera Data Platform, and is a living document describing our collected learning across the platform and across customers. .

Data Lake 75

Data Lake Data Warehouse Data-driven IoT 75

AWS Big Data

MAY 16, 2024

For more information or to get started with Amazon Redshift spatial analytics, see the documentation for querying spatial data , spatial functions , and the spatial tutorial. H3 can also help create location-based profiling features for predictive machine learning (ML) models such as risk-mitigation models.

Data Warehouse 111

Data Warehouse Visualization Cost-Benefit Optimization 111

Cloudera

NOVEMBER 5, 2020

CDP includes Cloudera Shared Data eXperience (SDX), a centralized set of security, governance, and management capabilities that make it possible to use cloud resources without sacrificing data privacy or creating compliance risks. Cloudera Data Warehouse (product documentation). Cloudera Data Warehouse (website).

Data Lake 69

Data Lake Data Warehouse Metadata Optimization 69

IBM Big Data Hub

MAY 9, 2023

is not just for data scientists and developers — business users can also access it via an easy-to-use interface that responds to natural language prompts for different tasks. A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments. Watsonx.ai Depending on the task, watsonx.ai

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

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 76

Software Reporting KPI Enterprise 76

AWS Big Data

JULY 28, 2023

Data dependencies – Personal data can be interconnected and intertwined with other data systems, making it challenging to remove specific data without impacting the integrity of functionality of other systems or processes. Ensuring the complete removal of data from all these copies and backups can be challenging.

Snapshot 85

Snapshot Metadata Measurement Data Warehouse 85