Smart Data Collective

FEBRUARY 24, 2022

When you are creating a new AI application, you are going to have to outline different tasks which require different testing tools. You are also going to have to test the application carefully. Why is testing AI software applications so important? However, there is still a need to test the applications carefully.

Testing 102

Testing Marketing Software Technology 102

Cloudera

DECEMBER 18, 2020

When running any performance benchmarking tool on your cluster, a critical decision is always what data set size should be used for a performance test, and here we demonstrate why it is important to select a “good fit” data set size when running a HBase performance test on your cluster. Test Methodology.

Testing 58

Testing Measurement IT Management 58

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 87

Snapshot Data Processing Testing Data Warehouse 87

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 237

Machine Learning Recreation/Entertainment Risk Business Objectives 237

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

CIO Business Intelligence

FEBRUARY 9, 2024

The two new features, namely a testing center and the provision of prompt engineering suggestions, are the fruit of significant investment in the company’s AI engineering team, said Claire Cheng, vice president of machine learning and AI engineering at Salesforce. Additionally, the tool can pick the best option from the different iterations.

Testing 135

Testing Enterprise Modeling Machine Learning 135

DataKitchen

JUNE 12, 2023

Today we have had over 20,000 signatures , millions of page views, and copycat clones, and it is frequently used as a reference guide. “Data Journey” refers to the various stages of data moving from collection to use in data analysis tools and systems. It’s Customer Journey for data analytic systems.

Testing 130

Testing Data Lake Dashboards Data Science 130

Domino Data Lab

JANUARY 20, 2019

These are the kind of questions Been Kim , Senior Research Scientist at Google Brain, poised in the MLConf 2018 talk , “Interpretability Beyond Feature Attribution: Testing with Concept Activation Vectors (TCAV)”. Testing with Concept Activation Vectors (TCAV): The Zebra. Introduction. Would industry people be interested?

Testing 63

Testing Modeling Machine Learning Data Science 63

AWS Big Data

APRIL 12, 2024

Streaming data refers to data that is continuously generated from a variety of sources. To test the setup, generate sample stream data from the Amazon Kinesis Data Generator (KDG) with the Firehose delivery stream as the destination. Create a Kinesis data stream. Query the Snowflake table to validate the data loaded into Snowflake.

Data Architecture 86

Data Architecture IoT Internet of Things Recreation/Entertainment 86

AWS Big Data

MARCH 27, 2024

By testing the solution against key metrics, a POC provides insights that allow you to make an informed decision on the suitability of the technology for the intended use case. Complete the implementation tasks such as data ingestion and performance testing. Collect data metrics and statistics on the completed tasks.

Testing 96

Testing Data Warehouse Metrics Cost-Benefit 96

IBM Big Data Hub

APRIL 22, 2024

Deployable architecture (DA) refers to a specific design pattern or approach that allows an application or system to be easily deployed and managed across various environments. These reference architectures provide a solid foundation for deploying secure, compliant applications within the framework.

Manufacturing 69

Manufacturing Data Processing Finance Software 69

DataKitchen

OCTOBER 28, 2021

Since the training data contained a majority of male developers, the AI model taught itself that men were preferable and downgraded references such as “women’s team captain” or mentions of an all-female educational institution in a resume. When you buy a car, you can be sure that the factory has tested every component and subsystem.

Testing 130

Testing IT Manufacturing Metrics 130

AWS Big Data

FEBRUARY 20, 2024

For more details, refer to Tutorial: Configure a cross-realm trust with an Active Directory domain. In this post, we dive deep into the Amazon EMR LDAP authentication, showing how the authentication flow works, how to retrieve and test the needed LDAP configurations, and how to confirm an EMR cluster is properly LDAP integrated.

Testing 83

Testing Data Processing Interactive Management 83

AWS Big Data

JANUARY 2, 2024

We also avoid the implementation details and packaging process of our test data generation application, referred to as the producer. After the image is built, it should be pushed to a container registry like Amazon ECR so that you can reference it in the next section. southeast-2.amazonaws.com/producer:latest", southeast-2.amazonaws.com/kinesis-agent:latest",

Testing 90

Testing Data Processing Metrics Publishing 90

AWS Big Data

OCTOBER 3, 2023

For more information on streaming applications on AWS, refer to Real-time Data Streaming and Analytics. To learn more about the available optimize data executors and catalog properties, refer to the README file in the GitHub repo. For our testing, we generated about 58,176 small objects with total size of 2 GB.

Optimization 106

Optimization Snapshot Data Lake Metadata 106

AWS Big Data

APRIL 25, 2024

Apache Airflow is an open source tool used to programmatically author, schedule, and monitor sequences of processes and tasks, referred to as workflows. For detailed steps to create an Amazon MWAA environment using the Amazon MWAA console, refer to Introducing Amazon Managed Workflows for Apache Airflow (MWAA). Add the constraints-3.11-updated.txt

Metadata 55

Metadata Data Processing Management Testing 55

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 112

Software Strategy Cost-Benefit Testing 112

The Unofficial Google Data Science Blog

JANUARY 16, 2018

We present data from Google Cloud Platform (GCP) as an example of how we use A/B testing when users are connected. Experimentation on networks A/B testing is a standard method of measuring the effect of changes by randomizing samples into different treatment groups.

Testing 58

Testing Experimentation Measurement Modeling 58

AWS Big Data

NOVEMBER 17, 2023

The Athena editor is used to test the connector and perform analysis via SQL queries. Prerequisites Before you get started, you should meet the following prerequisites: An AWS account (refer to How do I create and activate a new AWS account? To create an S3 bucket, refer to Creating a bucket. Choose Create database.

Visualization 80

Visualization Metadata Testing Internet of Things 80

CIO Business Intelligence

AUGUST 4, 2023

Outside of manufacturing and factory automation, IT automation is typically focused on service automation and QA testing of automated processes. In IT, an automation engineer refers to someone who delivers automated solutions for software processes to improve efficiency, boost performance, and maintain systems.

IT 98

IT Testing Manufacturing Software 98

CIO Business Intelligence

OCTOBER 31, 2023

DevSecOps refers to development, security, and operations. Creating a development culture that embraces compliance starts with executive buy-in, comprehensive training across teams, and processes and tests that assess and enforce regulatory compliance culture.

Finance 144

Finance Testing Technology Strategy 144

O'Reilly on Data

JUNE 15, 2023

And they are stress testing and “ red teaming ” them to uncover vulnerabilities. But exactly how this stress testing, post processing, and hardening works—or doesn’t—is mostly invisible to regulators. This is what Jeff Bezos has referred to as a “ one way door ,” a decision that, once made, is very hard to undo.

Metrics 285

Metrics Reporting Measurement Finance 285

CIO Business Intelligence

OCTOBER 13, 2023

According to Bob Lambert , analytics delivery lead at Anthem and former director of CapTech Consulting, important data architect skills include: A foundation in systems development: Data architects must understand the system development life cycle, project management approaches, and requirements, design, and test techniques.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

CIO Business Intelligence

NOVEMBER 20, 2023

The inner loop comprises activities directly related to creating the software product: coding, building, and unit testing. The outer loop comprises activities related to putting the code into production: integration, testing, release, and deployment. This refers to assessing contributions to a team’s backlog.

Measurement 126

Measurement Metrics Software Testing 126

IBM Big Data Hub

NOVEMBER 24, 2023

The real problem lies in how the IT is organized, which reflects in how their current applications/services are built and managed (refer to Conway’s law ). Subsequent phases are build and test and deploy to production. Let us explore the Generative AI possibilities across these lifecycle areas.

Cost-Benefit 100

Cost-Benefit Testing Data-driven Enterprise 100

DataKitchen

OCTOBER 20, 2023

’ It assigns unique identifiers to each data item—referred to as ‘payloads’—related to each event. Payload DJs facilitate capturing metadata, lineage, and test results at each phase, enhancing tracking efficiency and reducing the risk of data loss.

Insurance 176

Insurance Metadata Data-driven Data Quality 176

AWS Big Data

FEBRUARY 26, 2024

The content includes a reference architecture, a step-by-step guide on infrastructure setup, sample code for implementing the solution within a use case, and an AWS Cloud Development Kit (AWS CDK) application for deployment. For detailed instructions on configuring DLQs, refer to Dead-letter queues. Choose the Test tab.

Dashboards 60

Dashboards Testing Metrics Optimization 60

AWS Big Data

APRIL 16, 2024

Refer to Amazon Managed Workflows for Apache Airflow Pricing for rates and more details. In the following test, we simulate a high load scenario, use the CloudWatch observability metrics to identify common problems, and make an informed decision to plan scaling to larger environments to mitigate the issues.

Metadata 90

Metadata Metrics Testing Management 90

AWS Big Data

MARCH 12, 2024

In this journey, we have identified a structured approach that we refer to as the seven layers of improvement opportunities. Apache Airflow is an open source tool used to programmatically author, schedule, and monitor sequences of processes and tasks referred to as workflows. Perform tests using EMR on EC2 and EMR Serverless.

Cost-Benefit 89

Cost-Benefit Optimization Big Data Metrics 89

AWS Big Data

MARCH 12, 2024

In this post, we provide benchmark results of running increasingly complex data quality rulesets over a predefined test dataset. Dataset details The test dataset contains 104 columns and 1 million rows stored in Parquet format. For instructions, refer to Adding an AWS Glue Crawler. In the Create job section, choose Visual ETL.x

Data Quality 86

Data Quality Measurement Testing Visualization 86

AWS Big Data

APRIL 22, 2024

Dynamic DAGs refer to the ability to generate DAGs on the fly during runtime, typically based on some external conditions, configurations, or parameters. If this is your first time using Amazon MWAA, refer to Introducing Amazon Managed Workflows for Apache Airflow (MWAA). csv is generated in the dags folder.

Data-driven 101

Data-driven Management Cost-Benefit Testing 101

DataRobot

JANUARY 10, 2020

Next, HR staff must sort through the applications, check resumes for suitability, invite in some applicants for in-person interviews, skills exercises, reference checks, and maybe even psychometric and IQ tests.

Data Science 132

Data Science Testing Enterprise Management 132

AWS Big Data

AUGUST 17, 2023

If you are new to OpenSearch Serverless, refer to Log analytics the easy way with Amazon OpenSearch Serverless to get started. As seen in the following screenshot, in this test, we created six indexes approximating to 1 TB or more. Conclusion We encourage you to take advantage of the 6 TB index support and put it to the test!

Cost-Benefit 77

Cost-Benefit Testing Machine Learning Measurement 77

AWS Big Data

AUGUST 15, 2023

We reference the secret in Secrets Manager in the Lambda function so we can run a query on AWS and it can access the data stored on Google Cloud Provider. For complete steps, refer to Creating a VPC for a data source connector. For more information about the prerequisites, refer to Amazon Athena Google Cloud Storage connector.

Recreation/Entertainment 85

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 85

AWS Big Data

MAY 18, 2023

For more details, refer to Spark Release 3.3.0 For more information, refer to Spark Release 3.3.0. For more information, refer to ANSI Compliance. To learn more about how to use it, refer to New – Amazon Redshift Integration with Apache Spark. Spark upgrade highlights The new version of Spark included in AWS Glue 4.0

Testing 74

Testing Data Lake Cost-Benefit Data Integration 74

AWS Big Data

MAY 2, 2023

Test the feature To test this feature, run the producer DAG. How dynamic task mapping works Let’s see an example using the reference code available in the Airflow documentation. Test the feature Upload the four sample text files from the local data folder to an S3 bucket data folder. Run the dynamic_task_mapping DAG.

Testing 98

Testing Experimentation Management Metadata 98

AWS Big Data

JANUARY 30, 2023

In our performance benchmark tests, derived from TPC-DS performance tests at 3 TB scale, we found the EMR runtime for Apache Spark 3.3.0 In this post, we analyze the results from our benchmark tests running a TPC-DS application on open-source Apache Spark and then on Amazon EMR 6.9, With Amazon EMR 6.9.0, provides a 3.5

Testing 65

Testing Data Lake Big Data Optimization 65