O'Reilly on Data

MARCH 18, 2020

The bad news is that AI adopters—much like organizations everywhere—seem to treat data governance as an additive rather than an essential ingredient. However, organizations need to address important data governance and data conditioning to expand and scale their AI practices. [1]

Enterprise 341

Enterprise Deep Learning Data Governance Risk 341

O'Reilly on Data

JULY 28, 2020

Qualitative data collection tools (such as SurveyMonkey , Qualtrics , and Google Forms ) should be joined with interface prototyping tools (such as Invision and Balsamiq ), and with data prototyping tools (such as Jupyter Notebooks ) to form an ecosystem for product development and testing. Conclusion.

Marketing 363

Marketing Experimentation Metrics Testing 363

CIO Business Intelligence

MARCH 24, 2023

The program must introduce and support standardization of enterprise data. Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Smart Data Collective

APRIL 5, 2022

There are a number of reasons that IBM Watson Studio is a highly popular hardware accelerator among data scientists. It allows data scientists to log, store, share, compare and search important metadata that is used to build models for data science applications. Neptune.ai. Neptune.AI

Machine Learning 145

Machine Learning Cost-Benefit Data Science Unstructured Data 145

FineReport

FEBRUARY 5, 2020

Metadata management. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis.

Metadata 98

Metadata Dashboards Informatics Visualization 98

IBM Big Data Hub

DECEMBER 16, 2022

This includes data collection, instrumenting processes and transparent reporting to make needed information available for stakeholders. At IBM, we have an AI Ethics Board that supports a centralized governance, review, and decision-making process for IBM ethics policies, practices, communications, research, products and services.

Uncertainty 112

Uncertainty Metadata Modeling Data Collection 112

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 99

Data Strategy Strategy Data Warehouse Prescriptive Analytics 99

Cloudera

FEBRUARY 8, 2021

To accomplish this, ECC is leveraging the Cloudera Data Platform (CDP) to predict events and to have a top-down view of the car’s manufacturing process within its factories located across the globe. . Having completed the Data Collection step in the previous blog, ECC’s next step in the data lifecycle is Data Enrichment.

Manufacturing 118

Manufacturing Data Warehouse Sales Predictive Analytics 118

CIO Business Intelligence

MARCH 21, 2022

According to data from Robert Half’s 2021 Technology and IT Salary Guide, the average salary for data scientists, based on experience, breaks down as follows: 25th percentile: $109,000 50th percentile: $129,000 75th percentile: $156,500 95th percentile: $185,750 Data scientist responsibilities.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

CIO Business Intelligence

APRIL 29, 2022

In this new era the role of humans in the development process also changes as they morph from being software programmers to becoming ‘data producers’ and ‘data curators’ – tasked with ensuring the quality of the input.

Data Governance 145

Data Governance IT Risk Data Lake 145

Smart Data Collective

APRIL 14, 2021

If you occasionally run business stands in fairs, congresses and exhibitions, business stands designers can incorporate business intelligence to aid in better business and client data collection. Business intelligence tools can include data warehousing, data visualizations, dashboards, and reporting.

Business Intelligence 138

Business Intelligence Dashboards Visualization Big Data 138

Alation

FEBRUARY 13, 2020

Why do we need a data catalog? What does a data catalog do? These are all good questions and a logical place to start your data cataloging journey. Data catalogs have become the standard for metadata management in the age of big data and self-service analytics. Figure 1 – Data Catalog Metadata Subjects.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

AWS Big Data

DECEMBER 5, 2023

A combination of Amazon Redshift Spectrum and COPY commands are used to ingest the survey data stored as CSV files. For the files with unknown structures, AWS Glue crawlers are used to extract metadata and create table definitions in the Data Catalog. The first image shows the dashboard without any active filters.

Measurement 105

Measurement Dashboards Data Warehouse Analytics 105

AWS Big Data

NOVEMBER 15, 2023

It seamlessly consolidates data from various data sources within AWS, including AWS Cost Explorer (and forecasting with Cost Explorer ), AWS Trusted Advisor , and AWS Compute Optimizer. Data providers and consumers are the two fundamental users of a CDH dataset.

Dashboards 111

Dashboards Analytics Metadata Data Warehouse 111

Cloudera

AUGUST 30, 2022

A data mesh supports distributed, domain-specific data consumers and views data as a product, with each domain handling its own data pipelines. Towards Data Science ). Solutions that support MDAs are purpose-built for data collection, processing, and sharing.

Data Architecture 79

Data Architecture Data Lake Data Warehouse Metadata 79

Smart Data Collective

MAY 11, 2023

Since the launch of Smart Data Collective, we have talked at length about the benefits of AI for mobile technology. ASO involves optimizing your app’s metadata, such as the title, description, and keywords, to improve visibility and ranking in app stores. AI has been invaluable for e-commerce brands.

Cost-Benefit 116

Cost-Benefit Optimization Data-driven Machine Learning 116

Cloudera

DECEMBER 16, 2022

Our open, interoperable platform is deployed easily in all data ecosystems, and includes unique security and governance capabilities. Many of our customers use multiple solutions—but want to consolidate data security, governance, lineage, and metadata management, so that they don’t have to work with multiple vendors.

Management 92

Management Metadata Machine Learning Data Lake 92

CIO Business Intelligence

OCTOBER 26, 2023

This is done by mining complex data using BI software and tools , comparing data to competitors and industry trends, and creating visualizations that communicate findings to others in the organization.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

Octopai

OCTOBER 3, 2019

Whether organically, by merger or acquisition , or even by both, new data assets are being acquired or created, and all of them are growing by ever-greedier data collection methods. It can also help them identify gaps—data that is needed for the task at hand but not available anywhere in the enterprise.

Enterprise 56

Enterprise Metadata Data Warehouse Consulting 56

Cloudera

JUNE 6, 2019

While this approach provides isolation, it creates another significant challenge: duplication of data, metadata, and security policies, or ‘split-brain’ data lake. Now the admins need to synchronize multiple copies of the data and metadata and ensure that users across the many clusters are not viewing stale information.

Metadata 86

Metadata Data Lake Optimization Strategy 86

CIO Business Intelligence

JUNE 9, 2022

Advertisers use OnAudience to build an understanding of their audience from data collected from multiple sources. The Data Management tool from SAS is designed to be heavily integrated with many data sources, be they data lakes, data pipes such as Hadoop, data fabrics, or mere databases. OnAudience.

Management 144

Management Advertising Data Lake Sales 144

Octopai

AUGUST 26, 2021

The entry features the data asset description (i.e. the stalk of barley symbol and the circular numeral signs) and the data owner (i.e. This data catalog didn’t need automation. It was perfectly reasonable for an individual to manually manage a Sumerian data collection (especially if you paid him enough barley).

Metadata 52

Metadata Cost-Benefit Data Collection Reporting 52

Cloudera

OCTOBER 11, 2022

The takeaway – businesses need control over all their data in order to achieve AI at scale and digital business transformation. The challenge for AI is how to do data in all its complexity – volume, variety, velocity. First you need the data analytics, data management, and data science tools.

Data Science 94

Data Science Snapshot Data Warehouse Metadata 94

Cloudera

AUGUST 4, 2021

Data governance used to be considered a “nice to have” function within an enterprise, but it didn’t receive serious attention until the sheer volume of business and personal data started taking off with the introduction of smartphones in the mid-2000s.

Data Governance 86

Data Governance Metadata Data-driven Enterprise 86

CIO Business Intelligence

SEPTEMBER 22, 2023

How to choose which DMP is right for your organization While each organization will have its own unique needs, a number of common factors are important to keep in mind when selecting a data management platform. The platform’s data collection, storage, scalability, and processing capabilities will also weigh heavily in making your choice.

Management 105

Management Advertising Data Lake Sales 105

AWS Big Data

FEBRUARY 1, 2024

The Common Crawl corpus contains petabytes of data, regularly collected since 2008, and contains raw webpage data, metadata extracts, and text extracts. In addition to determining which dataset should be used, cleansing and processing the data to the fine-tuning’s specific need is required.

Metadata 122

Metadata Modeling Data Processing Unstructured Data 122

Alation

FEBRUARY 20, 2020

More than any other advancement in analytic systems over the last 10 years, Hadoop has disrupted data ecosystems. By dramatically lowering the cost of storing data for analysis, it ushered in an era of massive data collection.

Data Lake 52

Data Lake Metadata Structured Data Big Data 52

Cloudera

JANUARY 21, 2021

With CDW, as an integrated service of CDP, your line of business gets immediate resources needed for faster application launches and expedited data access, all while protecting the company’s multi-year investment in centralized data management, security, and governance.

Data Warehouse 94

Data Warehouse Data Lake IT Analytics 94

Juice Analytics

FEBRUARY 21, 2018

This means that two different rows in the data can represent the same entity with data collected for it at different points in time. As a consequence of the rule above, the data should include a row identifier column that can be repeated to indicate that different rows of data are representing the same entities.

Metadata 53

Metadata Metrics Data Collection Reporting 53

AWS Big Data

JULY 24, 2024

These additional ETL jobs add latency to the end-to-end process from data collection to activation, which makes it more likely that your campaigns are activating on stale data and missing key audience members. They often provide additional information to augment the data in event tables.

Data Warehouse 126

Data Warehouse Cost-Benefit Marketing Testing 126

Alation

JULY 7, 2022

In 2013 I joined American Family Insurance as a metadata analyst. I had always been fascinated by how people find, organize, and access information, so a metadata management role after school was a natural choice. The use cases for metadata are boundless, offering opportunities for innovation in every sector.

Metadata 52

Metadata Data-driven Insurance Statistics 52

AWS Big Data

FEBRUARY 21, 2023

Unlike a pure dimensional design, a data vault separates raw and business-generated data and accepts changes from both sources. Data vaults make it easy to maintain data lineage because it includes metadata identifying the source systems. What is a hybrid model?

Data Warehouse 93

Data Warehouse Data Lake Cost-Benefit Metadata 93

Cloudera

FEBRUARY 16, 2022

We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle. So, we have workspaces, projects and sessions in that order.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

Anmut

OCTOBER 29, 2020

COVID-19 exposes shortcomings in data management. Getting consistency is also a daunting challenge in the face of a tsunami of data. Having a data-driven approach creates much sought after competitive advantage. . […] Additionally, this will help monitor the impact of interventions.’

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

Alation

FEBRUARY 20, 2020

earthquake, flood, or fire), where the data collected does not need to be as tightly controlled. Since an earthquake event can generate gigabytes of data, a company can spin up extra computing nodes, process the data, and spin down the nodes once the processing is complete. In The Alation Data Catalog adding S3 is simple.

Data Lake 52

Data Lake ROI Metadata Cost-Benefit 52

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. Athena is used to run geospatial queries on the location data stored in the S3 buckets. Choose Run.

Analytics 122

Analytics IoT Metadata Internet of Things 122

Sisense

JULY 6, 2020

First off, this involves defining workflows for every business process within the enterprise: the what, how, why, who, when, and where aspects of data. These regulations, ultimately, ensure key business values: data consistency, quality, and trustworthiness.

Enterprise 98

Enterprise Management Data Architecture Data-driven 98