O'Reilly on Data

OCTOBER 19, 2021

The applications must be integrated to the surrounding business systems so ideas can be tested and validated in the real world in a controlled manner. but to reference concrete tooling used today in order to ground what could otherwise be a somewhat abstract exercise. An Overarching Concern: Correctness and Testing.

IT 363

IT Testing Experimentation Software 363

DataKitchen

SEPTEMBER 20, 2021

The best way to ensure error-free execution of data production is through automated testing and monitoring. The DataKitchen Platform enables data teams to integrate testing and observability into data pipeline orchestrations. Automated tests work 24×7 to ensure that the results of each processing stage are accurate and correct.

Testing 246

Testing Metrics Measurement Dashboards 246

Rocket-Powered Data Science

JUNE 17, 2022

The dominant references everywhere to Observability was just the start of awesome brain food offered at Splunk’s.conf22 event. Reference ) The latest updates to the Splunk platform address the complexities of multi-cloud and hybrid environments, enabling cybersecurity and network big data functions (e.g., is here, now!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

AWS Big Data

DECEMBER 27, 2024

To assess the Spark engines performance with the Iceberg table format, we performed benchmark tests using the 3 TB TPC-DS dataset, version 2.13 (our results derived from the TPC-DS dataset are not directly comparable to the official TPC-DS results due to setup differences). 4xlarge instances, for testing both open source Spark 3.5.3

Cost-Benefit 105

Cost-Benefit Testing Metrics Optimization 105

AWS Big Data

NOVEMBER 26, 2024

For more examples and references to other posts, refer to the following GitHub repository. In case you don’t have sample data available for testing, we provide scripts for generating sample datasets on GitHub. For more examples and references to other posts on using XTable on AWS, refer to the following GitHub repository.

Metadata 105

Metadata Data Lake Snapshot Data Warehouse 105

DataKitchen

NOVEMBER 20, 2021

A DataOps Engineer can make test data available on demand. We have automated testing and a system for exception reporting, where tests identify issues that need to be addressed. We often refer to data operations and analytics as a factory. It then autogenerates QC tests based on those rules.

Testing 246

Testing Machine Learning Data Warehouse Analytics 246

O'Reilly on Data

MARCH 7, 2019

They use a lot of jargon: 10/10 refers to the intensity of pain. Generalized abd radiating to lower” refers to general abdominal (stomach) pain that radiates to the lower back. Jargon refers to the 100-200 new words you learn in the first month after you join a new school or workplace. They don’t have a subject. IBM Watson NLU.

Deep Learning 275

Deep Learning Testing Machine Learning Modeling 275

AWS Big Data

SEPTEMBER 10, 2024

Redshift Test Drive is a tool hosted on the GitHub repository that let customers evaluate which data warehouse configurations options are best suited for their workload. Generating and accessing Test Drive metrics The results of Amazon Redshift Test Drive can be accessed using an external schema for analysis of a replay.

Testing 111

Testing Snapshot Data Warehouse Metrics 111

AWS Big Data

SEPTEMBER 11, 2024

This allows developers to test their application with a Kafka cluster that has the same configuration as production and provides an identical infrastructure to the actual environment without needing to run Kafka locally. For guidance, refer to How to install Linux on Windows with WSL. ssh -i "~/ " ec2-user@ > -L 127.0.0.1:9098:

Testing 110

Testing Data Processing Management IT 110

O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Some of the best lessons are captured in Ron Kohavi, Diane Tang, and Ya Xu’s book: Trustworthy Online Controlled Experiments : A Practical Guide to A/B Testing.

Marketing 364

Marketing Experimentation Metrics Testing 364

CIO Business Intelligence

OCTOBER 17, 2024

Deepak Jain, 49, of Potomac, was the CEO of an information technology services company (referred to in the indictment as Company A) that provided data center services to customers, including the SEC,” the US DOJ said in a statement. From 2012 through 2018, the SEC paid Company A approximately $10.7

Broadcasting 122

Broadcasting Risk Reporting Measurement 122

AWS Big Data

NOVEMBER 27, 2024

You’re now ready to sign in to both Aurora MySQL cluster and Amazon Redshift Serverless data warehouse and run some basic commands to test them. Choose Test Connection. Choose Next if the test succeeded. To add tests to your project: Create a new YAML file in the models directory and name it models/schema.yml.

Data Warehouse 110

Data Warehouse Analytics Testing Modeling 110

AWS Big Data

JANUARY 9, 2025

In this post, we use the term vanilla Parquet to refer to Parquet files stored directly in Amazon S3 and accessed through standard query engines like Apache Spark, without the additional features provided by table formats such as Iceberg. Moreover, our tests show that for read-intensive workloads, Iceberg reduced DPU hours by 32.4%

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111

AWS Big Data

NOVEMBER 7, 2024

Refer to Easy analytics and cost-optimization with Amazon Redshift Serverless to get started. To test this, let’s ask Amazon Q to “delete data from web_sales table.” It can help optimize the generation process by reducing unnecessary table references. For pricing information, refer to Amazon Q generative SQL pricing.

Metadata 105

Metadata Sales Data Warehouse Optimization 105

AWS Big Data

MARCH 10, 2025

Also, we designed our test environment without setting the Amazon Redshift Serverless workgroup max capacity parametera key configuration that controls the maximum RPUs available to your data warehouse. By removing this limit, we could clearly showcase how different configurations affect scaling behavior in our test endpoints.

Optimization 66

Optimization Data Warehouse Data-driven Testing 66

AWS Big Data

OCTOBER 11, 2024

Refer to this developer guide to understand more about index snapshots Understanding manual snapshots Manual snapshots are point-in-time backups of your OpenSearch Service domain that are initiated by the user. Testing and development – You can use snapshots to create copies of your data for testing or development purposes.

Snapshot 111

Snapshot Dashboards Management Testing 111

O'Reilly on Data

NOVEMBER 28, 2023

Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. Programmers have always developed tools that would help them do their jobs, from test frameworks to source control to integrated development environments. We’d like to see more companies test for fairness.

Enterprise 342

Enterprise Testing Modeling Reporting 342

AWS Big Data

NOVEMBER 19, 2024

Refer to Service Quotas for more details. Deploy the solution To deploy the solution to your AWS account, refer to the Readme file in our GitHub repo. Query documents with different personas Now let’s test the application using different personas. If needed, you can initiate a quota increase request.

Management 98

Management Metadata Manufacturing Testing 98

David Menninger's Analyst Perspectives

SEPTEMBER 24, 2024

These types of prompts are referred to as jailbreak prompts. Regardless of whether you can curate the training data, it’s necessary to test the output of the models to identify any toxic content from an adversarial action. Red-teaming is a term used to describe human testing of models for vulnerabilities.

Testing 173

Testing Modeling Enterprise Risk 173

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 111

Metadata Cost-Benefit Metrics Optimization 111

DataKitchen

MAY 10, 2021

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. Below we will explain how to virtually eliminate data errors using DataOps automation and the simple building blocks of data and analytics testing and monitoring. . Tie tests to alerts.

Testing 214

Testing Manufacturing Data Quality Statistics 214

CIO Business Intelligence

MARCH 19, 2025

Meanwhile, in December, OpenAIs new O3 model, an agentic model not yet available to the public, scored 72% on the same test. Mitre has also tested dozens of commercial AI models in a secure Mitre-managed cloud environment with AWS Bedrock. By August, agentic AI systems approached 40% and today, theyve passed the 60% milestone.

Software 141

Software Risk Enterprise Cost-Benefit 141

O'Reilly on Data

JUNE 14, 2024

After all, research is only as good as your references, and the teams at both organizations acutely understood that the possibility of hallucinations and ungrounded answers could outright confuse and frustrate learners. Miso’s team shares O’Reilly’s belief in not developing LLMs without credit, consent, and compensation from creators.

Metadata 287

Metadata Publishing Data-driven Modeling 287

AWS Big Data

DECEMBER 17, 2024

In internal tests, AI-driven scaling and optimizations showcased up to 10 times price-performance improvements for variable workloads. Launch summary Following is the launch summary which provides the announcement links and reference blogs for the key announcements. Industry-leading price-performance: Amazon Redshift launches RA3.large

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 98

O'Reilly on Data

SEPTEMBER 17, 2024

Is every reference correct and—even more important—does it exist? Checking the AI is a strenuous test of your own knowledge. Checking an AI is more like being a fact-checker for someone writing an important article: Can every fact be traced back to a documentable source? Is the AI’s output too vague or general to be useful?

Modeling 299

Modeling Reporting Sales Testing 299

O'Reilly on Data

MARCH 23, 2023

There’s a very important difference between these two almost identical sentences: in the first, “it” refers to the cup. In the second, “it” refers to the pitcher. It’s by far the most convincing example of a conversation with a machine; it has certainly passed the Turing test. Ethan Mollick says that it is “only OK at search.

IT 344

IT Modeling Testing Risk 344

CIO Business Intelligence

DECEMBER 11, 2024

Thats a problem, since building commercial products requires a lot of testing and optimization. An abundance of choice In the most general definition, open source here refers to the code thats available, and that the model can be modified and used for free in a variety of contexts. Finally, theres the price.

Cost-Benefit 115

Cost-Benefit Modeling Marketing Sales 115

DataKitchen

AUGUST 19, 2021

For each domain, one would want to know that a build was completed, that tests were applied and passed, and that data flowing through the system is correct. One challenge is that each domain team can choose a different toolset that complicates multi-level orchestration, testing and monitoring. Figure 5: Domain layer processing steps.

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

DataKitchen

SEPTEMBER 21, 2023

Data in Place refers to the organized structuring and storage of data within a specific storage medium, be it a database, bucket store, files, or other storage platforms. 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.

Testing 182

Testing Data Quality Predictive Modeling Metrics 182

datapine

JULY 11, 2019

For reference, here are the 4 primary types of dashboards for each main branch business-based activity: Strategic: A dashboard focused on monitoring long-term company strategies by analyzing and benchmarking a wide range of critical trend-based information. Don’t try to place all the information on the same page. Provide context.

Dashboards 319

Dashboards Metrics Visualization Key Performance Indicator 319

O'Reilly on Data

MAY 25, 2021

There have also been colorful conversations about whether GPT-3 can pass the Turing test, or whether it has achieved a notional understanding of consciousness, even amongst AI scientists who know the technical mechanics. When the human tries to stump the bot by texting “Testing what is 2+2?,” Among other things.

Modeling 363

Modeling Marketing Testing Machine Learning 363

AWS Big Data

NOVEMBER 17, 2023

It also applies general software engineering principles like integrating with git repositories, setting up DRYer code, adding functional test cases, and including external libraries. For more information, refer SQL models. When you run dbt test , dbt will tell you if each test in your project passes or fails.

Snapshot 111

Snapshot Data Processing Testing Data Warehouse 111

AWS Big Data

DECEMBER 16, 2024

For each service, you need to learn the supported authorization and authentication methods, data access APIs, and framework to onboard and test data sources. The SageMaker Lakehouse data connection testing capability boosts your confidence in established connections. To learn more, refer to Amazon SageMaker Unified Studio.

Visualization 94

Visualization Data Processing Testing Publishing 94

Smart Data Collective

MARCH 23, 2023

Version 1, Version 2 This refers to starting with a basic version of your product and then improving upon it in subsequent releases, adding features and improving its design. Prebuilt features and templates will have already been performance tested, and they typically come at much lower price points than developing a product from scratch.

Software 142

Software Strategy Cost-Benefit Testing 142

AWS Big Data

OCTOBER 23, 2024

For more information, refer to Amazon Redshift clusters. However, if you would like to implement this demo in your existing Amazon Redshift data warehouse, download Redshift query editor v2 notebook, Redshift Query profiler demo , and refer to the Data Loading section later in this post.

Data Warehouse 111

Data Warehouse Metrics Broadcasting Dashboards 111

AWS Big Data

DECEMBER 20, 2024

We can ask the following question in Amazon Q: update the s3 sink node to write to s3://xxx-testing-in-356769412531/output/ in CSV format in the same way to update the Amazon S3 data target. To learn more, refer to Amazon Q data integration in AWS Glue.

Data Integration 105

Data Integration Visualization Data Processing Data Lake 105

AWS Big Data

JULY 1, 2024

Test the requirements.txt file and dependency.zip file Testing your requirements file before release to production is key to avoiding installation and DAG errors. Testing both locally, with the MWAA local runner , and in a dev or staging Amazon MWAA environment, are best practices before deploying to production. pyOpenSSL==23.3.0

Management 110

Management Testing Strategy Machine Learning 110