AWS Big Data

OCTOBER 23, 2024

It’s a set of HTTP endpoints to perform operations such as invoking Directed Acyclic Graphs (DAGs), checking task statuses, retrieving metadata about workflows, managing connections and variables, and even initiating dataset-related events, without directly accessing the Airflow web interface or command line tools. Creating a test variable.

Interactive 101

Interactive Testing Data-driven Data Lake 101

AWS Big Data

NOVEMBER 19, 2024

These organizations often maintain multiple AWS accounts for development, testing, and production stages, leading to increased complexity and cost. This micro environment is particularly well-suited for development, testing, or small production workloads where resource optimization and cost-efficiency are primary concerns.

Metadata 106

Metadata Cost-Benefit Metrics Optimization 106

AWS Big Data

NOVEMBER 19, 2024

Solution overview By combining the powerful vector search capabilities of OpenSearch Service with the access control features provided by Amazon Cognito , this solution enables organizations to manage access controls based on custom user attributes and document metadata. If you don’t already have an AWS account, you can create one.

Management 94

Management Metadata Manufacturing Testing 94

AWS Big Data

NOVEMBER 7, 2024

Amazon Q generative SQL for Amazon Redshift uses generative AI to analyze user intent, query patterns, and schema metadata to identify common SQL query patterns directly within Amazon Redshift, accelerating the query authoring process for users and reducing the time required to derive actionable data insights.

Metadata 97

Metadata Sales Data Warehouse Optimization 97

DataKitchen

AUGUST 9, 2021

The domain requires a team that creates/updates/runs the domain, and we can’t forget metadata: catalogs, lineage, test results, processing history, etc., …. It can orchestrate a hierarchy of directed acyclic graphs ( DAGS ) that span domains and integrates testing at each step of processing.

Testing 246

Testing Data Lake Metadata Publishing 246

O'Reilly on Data

DECEMBER 19, 2018

have a large body of tools to choose from: IDEs, CI/CD tools, automated testing tools, and so on. We have great tools for working with code: creating it, managing it, testing it, and deploying it. Metadata analysis makes it possible to build data catalogs, which in turn allow humans to discover data that’s relevant to their projects.

Machine Learning 279

Machine Learning Software Metadata Testing 279

Rocket-Powered Data Science

FEBRUARY 15, 2023

Know thy data: understand what it is (formats, types, sampling, who, what, when, where, why), encourage the use of data across the enterprise, and enrich your datasets with searchable (semantic and content-based) metadata (labels, annotations, tags). Test early and often. Test and refine the chatbot. Conduct market research.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

TDAN

MARCH 16, 2021

The test will help you to focus on the things that are meaningful to your organization while honestly assessing how well you are addressing your organization’s needs. Take the […].

Data Governance 105

Data Governance Testing Modeling Data Quality 105

O'Reilly on Data

JUNE 19, 2019

A catalog or a database that lists models, including when they were tested, trained, and deployed. Metadata and artifacts needed for a full audit trail. Model operations, testing, and monitoring. Other noteworthy items include: Tools for continuous integration and continuous testing of models.

Modeling 235

Modeling Machine Learning Testing Metrics 235

CIO Business Intelligence

APRIL 8, 2025

As data-centric AI, automated metadata management and privacy-aware data sharing mature, the opportunity to embed data quality into the enterprises core has never been more significant. Data fabric Metadata-rich integration layer across distributed systems. Implementation complexity, relies on robust metadata management.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

O'Reilly on Data

JUNE 14, 2024

At the same time, Miso went about an in-depth chunking and metadata-mapping of every book in the O’Reilly catalog to generate enriched vector snippet embeddings of each work. Miso’s team shares O’Reilly’s belief in not developing LLMs without credit, consent, and compensation from creators.

Metadata 292

Metadata Publishing Data-driven Modeling 292

AWS Big Data

NOVEMBER 20, 2024

We’re excited to announce a new feature in Amazon DataZone that offers enhanced metadata governance for your subscription approval process. With this update, domain owners can define and enforce metadata requirements for data consumers when they request access to data assets. Key benefits The feature benefits multiple stakeholders.

Metadata 76

Metadata Data Governance Metrics Marketing 76

AWS Big Data

DECEMBER 10, 2024

Save the federation metadata XML file You use the federation metadata file to configure the IAM IdP in a later step. In the Single sign-on section , under SAML Certificates , choose Download for Federation Metadata XML. Test the SSO setup You can now test the SSO setup. Choose Test this application.

Sales 93

Sales Metadata Enterprise Testing 93

DataKitchen

OCTOBER 11, 2021

There are no automated tests , so errors frequently pass through the pipeline. There is no process to spin up an isolated dev environment to quickly add a feature, test it with actual data and deploy it to production. The pipeline has automated tests at each step, making sure that each step completes successfully.

Testing 152

Testing Metadata Dashboards Statistics 152

IBM Big Data Hub

JUNE 12, 2023

If we log in to the VSI, we can see the volume disks: [root@test-metadata ~]# ls -la /dev/disk/by-id total 0 drwxr-xr-x. vdb If we want to find the data volume named test-metadata-volume , we see that it is the vdd disk. Recently, IBM Cloud VPC introduced the metadata service. 2 root root 200 Apr 7 12:58.

Metadata 66

Metadata Testing Software IT 66

DataKitchen

FEBRUARY 2, 2023

DataOps Automation (Orchestration, Environment Management, Deployment Automation) DataOps Observability (Monitoring, Test Automation) Data Governance (Catalogs, Lineage, Stewardship) Data Privacy (Access and Compliance) Data Team Management (Projects, Tickets, Documentation, Value Stream Management) What are the drivers of this consolidation?

Metadata 130

Metadata Testing Data Science Risk 130

erwin

OCTOBER 8, 2020

With all these diverse metadata sources, it is difficult to understand the complicated web they form much less get a simple visual flow of data lineage and impact analysis. The metadata-driven suite automatically finds, models, ingests, catalogs and governs cloud data assets. GDPR, CCPA, HIPAA, SOX, PIC DSS).

Data Governance 145

Data Governance Metadata Testing Data Lake 145

AWS Big Data

DECEMBER 5, 2024

To address this, we used the AWS performance testing framework for Apache Kafka to evaluate the theoretical performance limits. We conducted performance and capacity tests on the test MSK clusters that had the same cluster configurations as our development and production clusters.

Metrics 79

Metrics Dashboards Testing Optimization 79

AWS Big Data

OCTOBER 30, 2024

Collaborating closely with our partners, we have tested and validated Amazon DataZone authentication via the Athena JDBC connection, providing an intuitive and secure connection experience for users. Choose Test connection. Choose Test Connection. OutputLocation : Amazon S3 path for storing query results.

Visualization 116

Visualization Data Lake Testing Data Governance 116

erwin

JANUARY 9, 2020

That’s because it’s the best way to visualize metadata , and metadata is now the heart of enterprise data management and data governance/ intelligence efforts. erwin DM 2020 is an essential source of metadata and a critical enabler of data governance and intelligence efforts. Click here to test drive of the new erwin DM.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

Rocket-Powered Data Science

SEPTEMBER 20, 2021

They realized that the search results would probably not provide an answer to my question, but the results would simply list websites that included my words on the page or in the metadata tags: “Texas”, “Cows”, “How”, etc. That’s enterprise-wide agile curiosity, question-asking, hypothesizing, testing/experimenting, and continuous learning.

Data Science 286

Data Science Forecasting Business Intelligence Sales 286

AWS Big Data

NOVEMBER 19, 2024

You can now test the newly created application by running the following command: npm run dev By default, the application is available on port 5173 on your local machine. Unfiltered Table Metadata This tab displays the response of the AWS Glue API GetUnfilteredTableMetadata policies for the selected table.

Data Processing 81

Data Processing Metadata Publishing Testing 81

AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Apache Iceberg addresses customer needs by capturing rich metadata information about the dataset at the time the individual data files are created.

Data Lake 128

Data Lake Data Processing Metadata Snapshot 128

O'Reilly on Data

APRIL 2, 2019

A catalog or a database that lists models, including when they were tested, trained, and deployed. Metadata and artifacts needed for audits: as an example, the output from the components of MLflow will be very pertinent for audits.

Machine Learning 260

Machine Learning Modeling Data Science Software 260

AWS Big Data

JUNE 10, 2024

Many of the tests to check performance and volumes of data scanned have used Athena because it provides a simple to use, fully serverless, cost effective, interface without the need to setup infrastructure. When evolving such a partition definition, the data in the table prior to the change is unaffected, as is its metadata.

Data Lake 122

Data Lake Metadata Snapshot Analytics 122

DataKitchen

JANUARY 5, 2021

Data Governance/Catalog (Metadata management) Workflow – Alation, Collibra, Wikis. Observability – Testing inputs, outputs, and business logic at each stage of the data analytics pipeline. Tests catch potential errors and warnings before they are released, so the quality remains high.

Testing 147

Testing Data Governance Metadata Visualization 147

O'Reilly on Data

DECEMBER 12, 2023

I can also ask for a reading list about plagues in 16th century England, algorithms for testing prime numbers, or anything else. Google, which invented Transformers, knows better than anyone that Transformer-based models destroy metadata, unless you do a lot of special engineering. But Google has the best search engine in the world.

Modeling 335

Modeling Sales Software Statistics 335

DataKitchen

SEPTEMBER 21, 2023

In the context of Data in Place, validating data quality automatically with Business Domain Tests is imperative for ensuring the trustworthiness of your data assets. Running these automated tests as part of your DataOps and Data Observability strategy allows for early detection of discrepancies or errors.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

O'Reilly on Data

JANUARY 28, 2019

Europe's enforcement of GDPR will provide an important test case, particularly since this case is essentially about data flows and contexts. But a data bill of rights assumes a new legal infrastructure, and by nature such infrastructures place the burden of redress on the user.

Insurance 244

Insurance Metadata Data Collection Marketing 244

Wayne Yaddow

MARCH 5, 2025

In this post, well see the fundamental procedures, tools, and techniques that data engineers, data scientists, and QA/testing teams use to ensure high-quality data as soon as its deployed. First, we look at how unit and integration tests uncover transformation errors at an early stage. Key Tools & Processes Testing frameworks (e.g.,

Testing 52

Testing Data Transformation Statistics Metadata 52

DataKitchen

AUGUST 16, 2024

Data Pipeline Observability: Optimizes pipelines by monitoring data quality, detecting issues, tracing data lineage, and identifying anomalies using live and historical metadata. This capability includes monitoring, logging, and business-rule detection.

Marketing 124

Marketing Data Quality Testing Metadata 124

Wayne Yaddow

FEBRUARY 18, 2025

However, these two processes are essentially distinct, and their testing needs differ in manyways. As enterprises extend their data pipelines, high-quality, automated testing for both transformations and conversions is critical to assuring data integrity, performance, and compliance across many platforms.

Testing 52

Testing Data Transformation Data-driven Data Quality 52

AWS Big Data

OCTOBER 24, 2024

It is advised to discourage contributors from making changes directly to the production OpenSearch Service domain and instead implement a gatekeeper process to validate and test the changes before moving them to OpenSearch Service. es.amazonaws.com' # e.g. my-test-domain.us-east-1.es.amazonaws.com, Leave the settings as default.

Visualization 92

Visualization Management Data Processing Testing 92

AWS Big Data

APRIL 16, 2024

Running Apache Airflow at scale puts proportionally greater load on the Airflow metadata database, sometimes leading to CPU and memory issues on the underlying Amazon Relational Database Service (Amazon RDS) cluster. A resource-starved metadata database may lead to dropped connections from your workers, failing tasks prematurely.

Metadata 111

Metadata Metrics Testing Management 111

AWS Big Data

DECEMBER 17, 2024

We have enhanced data sharing performance with improved metadata handling, resulting in data sharing first query execution that is up to four times faster when the data sharing producers data is being updated. In internal tests, AI-driven scaling and optimizations showcased up to 10 times price-performance improvements for variable workloads.

Data Lake 82

Data Lake Data Warehouse Data-driven Optimization 82

erwin

DECEMBER 9, 2024

Metadata is the basis of trust for data forensics as we answer the questions of fact or fiction when it comes to the data we see. Being that AI is comprised of more data than code, it is now more essential than ever to combine data with metadata in near real-time.

Metadata 52

Metadata Data Quality Sales Modeling 52

DataKitchen

AUGUST 3, 2021

A five to nine-person team owns the dev, test, deployment, monitoring and maintenance of a domain. Discoverable – users have access to a catalog or metadata management tool which renders the domain discoverable and accessible. The organizational concepts behind data mesh are summarized as follows.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246