Laminar Security

NOVEMBER 16, 2023

DSPM solutions help organizations achieve data security compliance, reduce data breach risks, lower cloud costs, remediate ROT data, and enable data-driven innovation. You can then use CSPM to check if your cloud resources that host or access this data are securely configured and comply with the relevant regulations or standards.

Risk 59

Risk Cost-Benefit Dashboards Management 59

Domino Data Lab

OCTOBER 1, 2020

Additionally, Okera connects to a company’s existing technical and business metadata catalogs (such as Collibra), making it easy for data scientists to discover, access and utilize new, approved sources of information. For the compliance team, the combination of Okera and Domino Data Lab is extremely powerful.

Enterprise 105

Enterprise Metadata Cost-Benefit Data Processing 105

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. Please note that use cases could include but are not limited to: risk modeling, sentiment analysis, next best action recommendation, anomaly detection, natural language generation, and more.

Digital Transformation 65

Digital Transformation Machine Learning Optimization Data Lake 65

datapine

SEPTEMBER 29, 2022

It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. Data processes that depended upon the previously defective data will likely need to be re-initiated, especially if their functioning was at risk or compromised by the defected data.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Alation

APRIL 14, 2023

In his talk, Mitesh revealed that Alation delivers useful information about data via metadata, and explored why context is key to building reliable data pipelines. By slowing down, and gathering intelligence about the data in a platform like Alation. When it comes to quickly and reliably moving data, data intelligence is a must!

Data Warehouse 52

Data Warehouse Data-driven Digital Transformation Metadata 52

Cloudera

NOVEMBER 12, 2020

Cloud has given us hope, with public clouds at our disposal we now have virtually infinite resources, but they come at a different cost – using the cloud means we may be creating yet another series of silos, which also creates unmeasurable new risks in security and traceability of our data. Key areas of concern are: .

Data Warehouse 101

Data Warehouse Reporting Risk Cost-Benefit 101

CIO Business Intelligence

APRIL 27, 2022

Rajgopal adds that all customer data, metadata, and escalation data are kept on Indian soil at all times in an ironclad environment. Perhaps most importantly, there is a rising need for enterprises and CIOs to explore whether a sovereign approach to the cloud is warranted and if so, to address it expediently to mitigate risk. “We

Digital Transformation 111

Digital Transformation Metadata Risk Management 111

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. You might have millions of short videos , with user ratings and limited metadata about the creators or content.

Management 332

Management Machine Learning Experimentation Metrics 332

Alation

NOVEMBER 28, 2022

And they rarely, if ever, host the most current data available. Any spreadsheet platform poses risks. In the future, spreadsheet users will be able to curate and publish rich metadata about their spreadsheets back into the data catalog. A centralized repository of metadata on the spreadsheets will eliminate this confusion.

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Allows metadata repositories to share and exchange.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

MAY 2, 2023

The workflow steps are as follows: The producer DAG makes an API call to a publicly hosted API to retrieve data. should also help you align with security standards by mitigating the risk of older versions of Python such as 3.7, The latter is only needed if it’s a different bucket than the Amazon MWAA bucket. Python v3.10 environment.

Testing 97

Testing Experimentation Management Metadata 97

IBM Big Data Hub

APRIL 11, 2024

In An Overview of Catastrophic AI Risks , the authors identify several mitigations that can be addressed through governance and regulation (in addition to cybersecurity). They identify international coordination and safety regulation as critical to preventing risks related to an “AI race.”

Risk 79

Risk Consulting Modeling Data Processing 79

IBM Big Data Hub

JANUARY 9, 2024

Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. Data ingestion must be done properly from the start, as mishandling it can lead to a host of new issues.

Enterprise 82

Enterprise Data Integration Data Quality Contextual Data 82

IBM Big Data Hub

FEBRUARY 26, 2024

Download the Gartner® Market Guide for Active Metadata Management 1. Efficient cloud migrations McKinsey predicts that $8 out of every $10 for IT hosting will go toward the cloud by 2024. The regulation was meant to strengthen banks’ risk-related data-aggregation and reporting capabilities—enhancing trust in data.

Cost-Benefit 104

Cost-Benefit Metadata Data Governance Reporting 104

CIO Business Intelligence

APRIL 28, 2023

A private cloud can be hosted either in an organisation’s own data centre, at a third-party facility, or via a private cloud provider. An organisation may host some services in one cloud and others with a different provider. This model has the highest level of security risk due to the volume of data and access.

Data Processing 69

Data Processing Metadata Cost-Benefit Risk Management 69

erwin

AUGUST 28, 2020

Put simply, DG is about maximizing the potential of an organization’s data and minimizing the risk. Organizations with a effectively governed data enjoy: Better alignment with data regulations: Get a more holistic understanding of your data and any associated risks, plus improve data privacy and security through better data cataloging.

Data Governance 145

Data Governance IT Cost-Benefit Metadata 145

Laminar Security

AUGUST 23, 2023

Prevent data exposures from human error or neglect through data policy enforcement and risk prioritization. Reducing overexposure or risk of sensitive data breaches. Minimizing risk to sensitive data as soon as it happens. Intelligent scanning for new and emerging risks to sensitive assets. Rational, high-fidelity AI.

Cost-Benefit 52

Cost-Benefit Risk Digital Transformation Strategy 52

AWS Big Data

JANUARY 22, 2024

Data as a product Treating data as a product entails three key components: the data itself, the metadata, and the associated code and infrastructure. For orchestration, they use the AWS Cloud Development Kit (AWS CDK) for infrastructure as code (IaC) and AWS Glue Data Catalogs for metadata management.

Data-driven 82

Data-driven Advertising Metadata Data Architecture 82

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. One of the longer-term trends that we’re seeing with Airflow , and so on, is to externalize graph-based metadata and leverage it beyond the lifecycle of a single SQL query, making our workflows smarter and more robust. BTW, videos for Rev2 are up: [link].

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Cloudera

JANUARY 21, 2021

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. You also do not want to risk your company-wide cloud consumption costs snowballing out of control. But – you need those mission critical analytics services, and you need them now!

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

AWS Big Data

MARCH 26, 2024

Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history. Alternatively, you can build identity graphs using Amazon Neptune for a single unified view of your customers.

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. While this approach provides isolation, it creates another significant challenge: duplication of data, metadata, and security policies, or ‘split-brain’ data lake.

Metadata 85

Metadata Data Lake Optimization Strategy 85

Alation

DECEMBER 13, 2022

Today a modern catalog hosts a wide range of users (like business leaders, data scientists and engineers) and supports an even wider set of use cases (like data governance , self-service , and cloud migration ). Active governance learns from user behavior, captured in metadata. Casting a wide metadata net is important.

Metadata 52

Metadata Data Governance Enterprise Insurance 52

CIO Business Intelligence

JANUARY 30, 2024

Even for more straightforward ESG information, such as kilowatt-hours of energy consumed, ESG reporting requirements call for not just the data, but the metadata, including “the dates over which the data was collected and the data quality,” says Fridrich. The complexity is at a much higher level.”

Reporting 115

Reporting Data Quality Strategy Data-driven 115

Cloudera

MAY 6, 2021

Risk Mitigation. Risk mitigation is an esoteric topic in articulating the value of multi-cloud strategies given the different risk exposures of single-cloud deployments that depend on a host of reasons, including industry context and the potential impacts to different business domains e.g., cybersecurity, client-facing systems, etc.

Strategy 90

Strategy Cost-Benefit Optimization Risk 90

Cloudera

AUGUST 21, 2020

Considering the potential security risks and the gravitational pull of “if it isn’t broken, don’t fix it!”, How can we mitigate security and compliance risk? . Many of them are increasingly deployed outside of traditional data centers in hosted, “cloud” environments. What about hybrid? What about multi-cloud? . There it is.

Cost-Benefit 71

Cost-Benefit Big Data ROI Risk 71

Domino Data Lab

JUNE 2, 2019

Trying to dissect a model to divine an interpretation of its results is a good way to throw away much of the crucial information – especially about non-automated inputs and decisions going into our workflows – that will be required to mitigate existential risk. Because of compliance. Admittedly less Descartes, more Wednesday Addams.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

AWS Big Data

JULY 20, 2023

Orca Security is an industry-leading Cloud Security Platform that identifies, prioritizes, and remediates security risks and compliance issues across your AWS Cloud estate. This data is sent to Apache Kafka, which is hosted on Amazon Managed Streaming for Apache Kafka (Amazon MSK).

Data Lake 84

Data Lake Analytics Snapshot Optimization 84

Alation

FEBRUARY 8, 2022

Duplication of data, too, may become a problem, as siloed patterns emerge unique to the domains that host them. “To achieve this,” the report argues, “metadata and data should be well-described so that they can be replicated and/or combined in different settings.” Principle #2: Data as a product. ” 1.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Domino Data Lab

OCTOBER 9, 2019

NOAA hosts a unique concentration of the world’s climate science research throughout its labs and other centers, with experts in closely adjacent fields: polar ice, coral reef health, sunny day flooding, ocean acidification, fisheries counts, atmospheric C02, sea-level rise, ocean currents, and so on. Metadata Challenges.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

AWS Big Data

APRIL 28, 2023

There is a risk that two different groups could hash to the same character combination; however, we have checked that there are no collisions in the existing groups. To mitigate this risk going forward, we have introduced guardrails in multiples places. The following figure illustrates at a high level the expected behavior.

Data Governance 65

Data Governance Management Data-driven Data Lake 65

erwin

APRIL 16, 2024

erwin also provides data governance, metadata management and data lineage software called erwin Data Intelligence by Quest. Decentralization has a downside, a risk of anarchy. Metadata management The data mesh governance function needs to have basic information about data used by the organization.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

CIO Business Intelligence

SEPTEMBER 23, 2022

A private cloud can be hosted either in an organization’s own?data An organization may host some services in one cloud and others with a different provider. This model has the highest level of security risk due to the volume of data and access. Public clouds offer large scale at low cost.

Data Processing 98

Data Processing Metadata Cost-Benefit Risk Management 98

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. So, I hear you say, let’s share metadata and make the data self-describing. There is a use case that does warrant starting with a catalog – that is closely related to data privacy risk. Sure, that can help for sure.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Alation

JUNE 21, 2022

Being named Snowflake’s Data Governance Partner of the Year — for the second year in a row — as customers leverage the dynamic duo of Alation Data Catalog and Snowflake Data Cloud to reduce risk and accelerate productivity , while also integrating the Cloud Data Management Capabilities Framework (CDMC). It also presents security risks.

Digital Transformation 52

Digital Transformation Metadata Cost-Benefit Data Governance 52

Alation

JULY 6, 2021

A person or team with influence must take responsibility for reducing data governance risks. Mitigating data governance risks requires resources. Machine learning plays a key role, as it can increase the speed and accuracy of metadata capture and categorization. This empowers better decision-making and reduces risk.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

AWS Big Data

JULY 14, 2023

The FinAuto team built AWS Cloud Development Kit (AWS CDK), AWS CloudFormation , and API tools to maintain a metadata store that ingests from domain owner catalogs into the global catalog. The global catalog is also periodically fully refreshed to resolve issues during metadata sync processes to maintain resiliency.

Finance 79

Finance Metadata Big Data Recreation/Entertainment 79