AWS Big Data

OCTOBER 11, 2023

Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities. These metrics help agents improve their call handle time and also reallocate agents across organizations to handle pending calls in the queue.

Management 107

Management Metadata Analytics Dashboards 107

AWS Big Data

MAY 1, 2024

Solution overview OneData defines three personas: Publisher – This role includes the organizational and management team of systems that serve as data sources. Provide and keep up to date with technical metadata for loaded data. Use the latest data published by the publisher to update data as needed.

Dashboards 113

Dashboards Data-driven Publishing Cost-Benefit 113

AWS Big Data

SEPTEMBER 7, 2023

The AWS Glue Data Catalog is a metastore of the location, schema, and runtime metrics of your data. AWS Glue Data Catalog stores information as metadata tables, where each table specifies a single data store. Running the crawler on a schedule updates AWS Glue Data Catalog with new partitions and metadata. Save and run the job.

Metadata 101

Metadata Dashboards Metrics Visualization 101

DataKitchen

OCTOBER 11, 2021

The automated orchestration published the data to an AWS S3 Data Lake. The same code we wrote to move data from S3 to RedShift or SFTP to S3 or to publish a Tableau workbook can be used across teams, projects and environments. Monitoring Job Metadata. Figure 2: Example data pipeline with DataOps automation.

Testing 152

Testing Metadata Dashboards Statistics 152

IBM Big Data Hub

FEBRUARY 22, 2024

Providing interpretable AI model metadata (for example, as factsheets ) specifying accountable persons, performance benchmarks (compared to human), data and methods used, audit records (date and by whom), and audit purpose and results. Capture key metadata to render AI models transparent and keep track of model inventory.

Metadata 94

Metadata Measurement Risk Modeling 94

AWS Big Data

FEBRUARY 27, 2024

OSI is a fully managed, serverless data collector that delivers real-time log, metric, and trace data to OpenSearch Service domains and OpenSearch Serverless collections. Migration of metadata such as security roles and dashboard objects will be covered in another subsequent post. Choose Public to use public access.

Metadata 97

Metadata Data Processing Dashboards IoT 97

AWS Big Data

APRIL 3, 2024

Many organizations already use AWS Glue Data Quality to define and enforce data quality rules on their data, validate data against predefined rules , track data quality metrics, and monitor data quality over time using artificial intelligence (AI). We use this data source to import metadata information related to our datasets.

Data Quality 91

Data Quality Visualization Metadata Metrics 91

AWS Big Data

JANUARY 10, 2024

In an OpenSearch Service cluster, the active and standby zones can be checked at any time using Availability Zone rotation metrics, as shown in the following screenshot. OpenSearch Service utilizes an internal node-to-node communication protocol for replicating write traffic and coordinating metadata updates through an elected leader.

Metadata 98

Metadata Broadcasting Data Processing Modeling 98

Cloudera

MARCH 14, 2023

When a draft is ready to be deployed in production, it is published to the Catalog, and can be productionalized with serverless DataFlow Functions for event-driven, micro-bursty use cases or auto-scaling DataFlow Deployments for low latency, high throughput use cases.

Testing 83

Testing Publishing Metadata Interactive 83

IBM Big Data Hub

JULY 25, 2022

Gartner predicts that by 2023, organizations that promote data sharing will outperform their peers in most business metrics. Enterprises want a platform where data providers and consumers can exchange data as a commodity using a common and consistent set of metadata. Why is marketplace the centerpiece of data fabric?

Metadata 67

Metadata Enterprise Consulting Publishing 67

AWS Big Data

NOVEMBER 29, 2023

In 2022, AWS published a dbt adapter called dbt-glue —the open source, battle-tested dbt AWS Glue adapter that allows data engineers to use dbt for cloud-based data lakes along with data warehouses and databases, paying for just the compute they need.

Data Lake 105

Data Lake Management Metrics Data Warehouse 105

Cloudera

MARCH 3, 2022

In the 2020 O’Reilly Data Quality survey only 20% of respondents say their organizations publish information about data provenance or data lineage internally. What’s more, SDX provides access to the lineage, metadata, and metrics associated with data utilization across environments. From Bad to Worse.

Data Governance 98

Data Governance Enterprise Data Quality Metadata 98

O'Reilly on Data

MARCH 31, 2020

You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon. It may even be faster to launch this new recommender system, because the Disney data team has access to published research describing what worked for other teams.

Management 327

Management Machine Learning Experimentation Metrics 327

AWS Big Data

OCTOBER 2, 2023

The base construct to access streaming data in Amazon Redshift provides metadata from the source stream (attributes like stream timestamp, sequence numbers, refresh timestamp, and more) and the raw binary data from the stream itself. This approach requires an additional step of schema retrieval and decoding based on context.

Cost-Benefit 88

Cost-Benefit Metadata Structured Data Management 88

AWS Big Data

MARCH 7, 2023

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources. Also, datasets are accessed for ML, data exporting, and publishing needs.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

CIO Business Intelligence

JUNE 14, 2023

Leveraging an open-source solution like Apache Ozone, which is specifically designed to handle exabyte-scale data by distributing metadata throughout the entire system, not only facilitates scalability in data management but also ensures resilience and availability at scale.

Unstructured Data 62

Unstructured Data IT Manufacturing Visualization 62

Insight

MARCH 12, 2020

There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often Galbraith eventually opted to publish Cuckoo’s Calling through an acquaintance of sorts. but the publishing industry failed to see it. Data Collection The AIgent leverages book synopses and book metadata.

Modeling 59

Modeling Metadata Publishing Sales 59

O'Reilly on Data

APRIL 2, 2019

A few years ago, we started publishing articles (see “Related resources” at the end of this post) on the challenges facing data teams as they start taking on more machine learning (ML) projects. Metadata and artifacts needed for audits: as an example, the output from the components of MLflow will be very pertinent for audits.

Machine Learning 201

Machine Learning Modeling Data Science Software 201

AWS Big Data

SEPTEMBER 13, 2023

AWS has invested in native service integration with Apache Hudi and published technical contents to enable you to use Apache Hudi with AWS Glue (for example, refer to Introducing native support for Apache Hudi, Delta Lake, and Apache Iceberg on AWS Glue for Apache Spark, Part 1: Getting Started ).

Data Lake 93

Data Lake Data Processing Metadata Snapshot 93

AWS Big Data

JULY 26, 2023

This enables you to process a user’s query to find the closest vectors and combine them with additional metadata without relying on external data sources or additional application code to integrate the results. To create the vector index, you must define the vector field name, dimensions, and the distance metric.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

AWS Big Data

AUGUST 14, 2023

This is due to a common misconception about data mesh as a data strategy, which is that it is effectively self-organizing—meaning that once presented with the opportunity, data owners within the organization will spring to the responsibilities and obligations associated with publishing high-quality data products.

Management 81

Management Risk Measurement Optimization 81

Octopai

OCTOBER 26, 2022

Continuous DataOps metrics testing checks data’s validity, completeness and integrity at input and output. The DataOps way of publishing new products or updates is called continuous delivery, and it relies heavily on automated processes to do all the grunt work. Did you just have a spectacular new idea for a data analytics product?

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

Alation

NOVEMBER 22, 2022

Quantifying effectiveness with metrics. With data governance, public sector entities can publish data ethically, using open-data portals and giving citizens visibility into how their data is used. This means you need to: Inventory data: Know all information resources and relevant metadata. Reuse metadata productively.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Cloudera

FEBRUARY 16, 2022

SDX provides open metadata management and governance across each deployed environment by allowing organisations to catalogue, classify as well as control access to and manage all data assets. Further auditing can be enabled at a session level so administrators can request key metadata about each CML process. Figure 03: lineage.yaml.

Machine Learning 83

Machine Learning Modeling Metadata Recreation/Entertainment 83

AWS Big Data

JANUARY 9, 2024

Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. It similarly codes the query as a vector and then uses a distance metric to find nearby vectors in the multi-dimensional space to find matches.

Cost-Benefit 94

Cost-Benefit Visualization Modeling Machine Learning 94

Alation

JUNE 30, 2022

And as new technology allowed for more publishers and created a higher volume of content, information curation thrived. This knowledge, or metadata, is a crucial guide for newcomers to that data, granting them the context to use new data with confidence. Both methods are valid but result in different numbers for the same metric.

Metadata 52

Metadata Data Warehouse Data Quality Data-driven 52

DataRobot Blog

MAY 10, 2022

It has been over a decade since the Federal Reserve Board (FRB) and the Office of the Comptroller of the Currency (OCC) published its seminal guidance focused on Model Risk Management ( SR 11-7 & OCC Bulletin 2011-12 , respectively).

Risk 64

Risk Modeling Machine Learning Data Quality 64

Cloudera

JANUARY 15, 2021

McKnight Consulting Group recently published their own third party benchmark study comparing the price-performance of Cloudera Data Warehouse to 4 other prominent cloud data warehouse vendors. This provides consistent security and metadata architecture as CDW interacts with other services within CDP. Benchmark Description.

Data Warehouse 94

Data Warehouse Cost-Benefit Consulting Interactive 94

AWS Big Data

MARCH 11, 2024

A topic in your MSK cluster where your data producer can publish data. Make sure that data is flowing into your MSK topic using Amazon CloudWatch metrics (for example, BytesOutPerSec ). For instructions, refer to Create a workgroup with a namespace. An MSK cluster. For instructions, refer to Create an Amazon MSK cluster.

Analytics 65

Analytics Data Warehouse Optimization Metrics 65

Jet Global

JULY 19, 2023

QE Caching for Raw Data to increase performance Localization (I-18n) Support for Source Metadata for dashboards and reports, allows translations for fields and metrics labels. Simba Partnership now offers two new options for data connectors.

Dashboards 52

Dashboards Visualization Reporting Interactive 52

AWS Big Data

FEBRUARY 2, 2023

You can use Cost and Usage Reports to publish your AWS billing reports to an S3 bucket that you own. With S3 Storage Lens, you can understand, analyze, and optimize storage with over 29 usage and activity metrics and interactive dashboards to aggregate data for your entire organization, specific accounts, Regions, buckets, or prefixes.

Reporting 89

Reporting Data Lake Management Optimization 89

Jet Global

MAY 27, 2021

Customize the report, if necessary, which takes moments, then publish to your users. Hubble delivers significant benefits to the team, helping us understand key spend metrics.”. After your successful migration from Discoverer to Hubble, here is how your familiar Discoverer components will carry across to Hubble: Discoverer Component.

Reporting 52

Reporting Cost-Benefit Dashboards Finance 52

Andrew White

JANUARY 9, 2022

I try to relate as much published research as I can in the time available to draft a response. We will publish a new Top Trends for D&A for 2022 in a couple of months. This is the same for scope, outcomes/metrics, practices, organization/roles, and technology. I hope they are helpful. Keep a watch on Gartner.com.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Jet Global

MAY 1, 2023

As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. When treating a patient, a doctor may wish to study the patient’s vital metrics in comparison to those of their peer group. They can also create custom calculations and metrics, and build new data visualizations.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Andrew White

JANUARY 11, 2021

Gartner also published the same piece of research for other roles, such as Application and Software Engineering. We publish research for small organizations, not just larger organizations. We cannot of course forget metadata management tools, of which there are many different. We have published some case studies.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Domino Data Lab

JULY 22, 2019

You know, typically, when you think about running projects, running teams, in terms of setting the priorities for projects, in terms of describing, what are the key metrics for success for a project, that usually falls on product management. It was also the year, 2001, when “ Agile Manifesto ” was published.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109