erwin

OCTOBER 31, 2019

The Regulatory Rationale for Integrating Data Management & Data Governance. Now, as Cybersecurity Awareness Month comes to a close – and ghosts and goblins roam the streets – we thought it a good time to resurrect some guidance on how data governance can make data security less scary.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

CIO Business Intelligence

OCTOBER 2, 2024

“Many organizations have data warehouses and reporting with structured data, and many have embraced data lakes and data fabrics,” says Klara Jelinkova, VP and CIO at Harvard University. Having automated and scalable data checks is key.” For us, it’s all part of data governance.

Management 141

Management Data Governance Cost-Benefit Structured Data 141

Jet Global

JULY 2, 2019

To address the flood of data and the needs of enterprise businesses to store, sort, and analyze that data, a new storage solution has evolved: the data lake. What’s in a Data Lake? Data warehouses do a great job of standardizing data from disparate sources for analysis. Taking a Dip.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

CIO Business Intelligence

SEPTEMBER 20, 2023

The data can also help us enrich our commodity products. How are you populating your data lake? We’ve decided to take a practical approach, led by Kyle Benning, who runs our data function. Then our analytics team, an IT group, makes sure we build the data lake in the right sequence.

Data Lake 134

Data Lake Data-driven Dashboards Risk 134

AWS Big Data

JULY 29, 2024

In the era of big data, data lakes have emerged as a cornerstone for storing vast amounts of raw data in its native format. They support structured, semi-structured, and unstructured data, offering a flexible and scalable environment for data ingestion from multiple sources.

Metadata 117

Metadata Snapshot Data Lake Metrics 117

AWS Big Data

OCTOBER 29, 2024

However, the initial version of CDH supported only coarse-grained access control to entire data assets, and hence it was not possible to scope access to data asset subsets. This led to inefficiencies in data governance and access control.

Data Lake 86

Data Lake Sales Metadata Machine Learning 86

CIO Business Intelligence

JUNE 21, 2024

IT leaders can take these first steps to get started: Identify the critical legacy data sources needed for each AI use case Replicate isolated legacy data sources into a unified, cloud-based data lake. Ensure a unified data governance layer for data quality, profiling, and compliance.

IT 113

IT Risk Data Lake Testing 113

CIO Business Intelligence

APRIL 1, 2024

Deloitte 2 meanwhile found that 41% of business and technology leaders said a lack of talent, governance, and risks are barriers to broader GenAI adoption. Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake. Choose a workload location. Pick the right partners.

Uncertainty 142

Uncertainty Data Lake Consulting Risk 142

AWS Big Data

JANUARY 31, 2023

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

Data Lake 89

Data Lake Data Governance Data Architecture Data Warehouse 89

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

Cloudera

JUNE 6, 2024

To keep pace as banking becomes increasingly digitized in Southeast Asia, OCBC was looking to utilize AI/ML to make more data-driven decisions to improve customer experience and mitigate risks. Lastly, data security is paramount, especially in the finance industry.

Contextual Data 87

Contextual Data Data Lake Data-driven Risk 87

AWS Big Data

JUNE 25, 2024

This post is co-authored by Vijay Gopalakrishnan, Director of Product, Salesforce Data Cloud. In today’s data-driven business landscape, organizations collect a wealth of data across various touch points and unify it in a central data warehouse or a data lake to deliver business insights.

Data Lake 109

Data Lake Cost-Benefit Data-driven Data Warehouse 109

CIO Business Intelligence

MAY 10, 2023

We could do all that mapping and validation with you, but if the underlying data isn’t accurate, it has nothing to do with the mechanism which provides that. On data governance: We have 17 different ERP systems, and Novanta is a very acquisitive company, so it’s an ongoing challenge. It’s the clean-up effort.

Data-driven 118

Data-driven IT Digital Transformation Data Governance 118

IBM Big Data Hub

JUNE 8, 2022

By taking advantage of data, enterprises can shape business decisions, minimize risk for stakeholders, and gain competitive advantage. Ensuring data quality and access within an organization, while establishing and maintaining proper governance processes, is a major struggle for many organizations.

Data-driven 56

Data-driven Enterprise Data Governance Data Lake 56

Alation

JUNE 14, 2021

And third is what factors CIOs and CISOs should consider when evaluating a catalog – especially one used for data governance. The Role of the CISO in Data Governance and Security. They want CISOs putting in place the data governance needed to actively protect data. So CISOs must protect data.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Metadata 97

AWS Big Data

AUGUST 15, 2024

Unlocking the true value of data often gets impeded by siloed information. Traditional data management—wherein each business unit ingests raw data in separate data lakes or warehouses—hinders visibility and cross-functional analysis. Amazon DataZone natively supports data sharing for Amazon Redshift data assets.

Data Lake 106

Data Lake Data Warehouse Data Governance Publishing 106

Ontotext

FEBRUARY 12, 2024

Determine ownership by making sure all teams involved in the data mesh own the quality of their domain data, ensure service-level agreements are met, and share that data with data contracts. Domain teams should continually monitor for data errors with data validation checks and incorporate data lineage to track usage.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

Cloudera

JUNE 7, 2023

Agencies should inventory, categorize, and label data; protect data at rest and in transit; and deploy mechanisms to detect and stop data exfiltration. Agencies should carefully craft and review data governance policies to ensure all data lifecycle security aspects are appropriately enforced across the enterprise.”

Metadata 87

Metadata Data Lake Optimization Modeling 87

Cloudera

SEPTEMBER 15, 2022

Mark: The first element in the process is the link between the source data and the entry point into the data platform. At Ramsey International (RI), we refer to that layer in the architecture as the foundation, but others call it a staging area, raw zone, or even a source data lake. See below. .

Data Lake 87

Data Lake Data Architecture Data-driven Data Warehouse 87

bridgei2i

MARCH 11, 2021

From eliminating the need for human assistance in repetitive tasks to reducing the risk of human errors in manual processes – AI can do a lot for large-scale businesses. Easily understandable, highly curated, and reliable data helps Machine Learning (ML) tools evolve. What is a Data Governance Strategy? in the system.

Key Performance Indicator 52

Key Performance Indicator Data Governance Data Lake Metadata 52

Cloudera

MAY 12, 2021

We welcome organizations that have built and deployed use cases for enterprise-scale machine learning and have industrialized AI to automate, secure, and optimize data-driven decision-making and/or applications to enter this category. Read more about last years Data Impact Award winners. HYBRID & MULTI-CLOUD INNOVATION.

Digital Transformation 71

Digital Transformation Machine Learning Optimization Data Lake 71

IBM Big Data Hub

DECEMBER 16, 2022

For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance. It uses metadata and data management tools to organize all data assets within your organization. This is especially helpful when handling massive amounts of big data.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Alation

APRIL 18, 2023

Top use cases for data profiling Data governance Data governance describes how data should be gathered and used within an organization, impacting data quality, data security, data privacy , and compliance. Do you need to define a data quality rule and add that to the profile?

IT 52

IT Metadata Data Quality Data Governance 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

Use Case #4: Financial Risk Detection and Prediction The financial industry is made up of a network of markets and transactions. A risk issue in one financial institution could result in a domino effect for many. 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

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

Alation

OCTOBER 21, 2021

Data Swamp vs Data Lake. When you imagine a lake, it’s likely an idyllic image of a tree-ringed body of reflective water amid singing birds and dabbling ducks. I’ll take the lake, thank you very much. Many organizations have built a data lake to solve their data storage, access, and utilization challenges.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

Alation

FEBRUARY 13, 2020

MunichRe’s data catalog sped the introduction of new, innovative data products to mitigate the risk of high impact crises caused by global warming. The Alation Data Catalog is taking years of data lake and self-service analytics investments and driving them from investments to insights.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

Alation

MARCH 22, 2022

So, how can you quickly take advantage of the DataOps opportunity while avoiding the risk and costs of DIY? This produces end-to-end lineage so business and technology users alike can understand the state of a data lake and/or lake house. Otherwise, already-overwhelmed data teams face a mountain of work to prepare.

Metadata 52

Metadata Cost-Benefit Data Quality Data Lake 52

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Data Science 84

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 105

Data Warehouse Reporting Risk Cost-Benefit 105

Cloudera

AUGUST 4, 2021

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. But it’s still not easy. But it’s still not easy.

Data Governance 91

Data Governance Metadata Data-driven Enterprise 91

Alation

NOVEMBER 28, 2022

If unaddressed, this chaos can lead to data quality, compliance, and security issues. Any spreadsheet platform poses risks. Most enterprise data users use Excel today to make business decisions. But refreshing this analysis with the latest data was impossible… unless you were proficient in SQL or Python.

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

Alation

APRIL 6, 2023

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. Spreadsheets are not typically developed and managed for enterprise use, which opens the door to risk from malicious actors, as well as human errors.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

CIO Business Intelligence

AUGUST 14, 2024

Start where your data is Using your own enterprise data is the major differentiator from open access gen AI chat tools, so it makes sense to start with the provider already hosting your enterprise data. Organizations with experience building enterprise data lakes connecting to many different data sources have AI advantages.

Enterprise 135

Enterprise Cost-Benefit Experimentation Modeling 135

Alation

FEBRUARY 20, 2020

For many enterprises, a hybrid cloud data lake is no longer a trend, but becoming reality. With an on-premise deployment, enterprises have full control over data security, data access, and data governance. Data that needs to be tightly controlled (e.g. The Problem with Hybrid Cloud Environments.

Data Lake 52

Data Lake ROI Metadata Cost-Benefit 52

Cloudera

MAY 28, 2024

This form of architecture can handle data in all forms—structured, semi-structured, unstructured—blending capabilities from data warehouses and data lakes into data lakehouses.

Data Architecture 93

Data Architecture Data Lake Data Warehouse Cost-Benefit 93