David Menninger's Analyst Perspectives

SEPTEMBER 23, 2021

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions.

Machine Learning 205

Machine Learning Key Performance Indicator Optimization Analytics 205

DataKitchen

FEBRUARY 27, 2024

The Imperative of Data Quality Validation Testing Data quality validation testing is not just a best practice; it’s imperative. Validation testing is a safeguard, ensuring that the data feeding into LLMs is of the highest quality.

Data Quality 120

Data Quality Unstructured Data Testing Modeling 120

Analytics Vidhya

NOVEMBER 19, 2021

If we use the same labeled examples for testing our model […]. In the model-building phase of any supervised machine learning project, we train a model with the aim to learn the optimal values for all the weights and biases from labeled examples.

Machine Learning 308

Machine Learning Testing Data Science Optimization 308

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Complete the implementation tasks such as data ingestion and performance testing.

Testing 98

Testing Data Warehouse Metrics Cost-Benefit 98

CIO Business Intelligence

APRIL 26, 2024

“We may be able to analyze data quickly, develop a model and deploy it connected to a real-time API quickly. As part of its testing, employees have access to conversational agents built using three different large language models (LLMs). Artificial Intelligence, Data Management, Digital Transformation, Financial Services Industry

Modeling 90

Modeling IT Machine Learning Data Governance 90

Analytics Vidhya

JANUARY 11, 2021

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction The main objectives of a model validation include the testing. The post Validation of Classification Model appeared first on Analytics Vidhya.

Modeling 213

Modeling Testing Data Science Publishing 213

DataKitchen

APRIL 11, 2023

He concluded by emphasizing the importance of aligning everyone within the data logistics chain towards focusing on value delivery and being part of meaningful activities contributing to customer success and improvement. Testing, according to James, is crucial in data analysis.

Data Analytics 130

Data Analytics Analytics Cost-Benefit Data Quality 130

AWS Big Data

AUGUST 16, 2023

On the Code tab, choose Test , then Configure test event. Configure a test event with the default hello-world template event JSON. Configure a test event with the default hello-world template event JSON. Provide an event name without any changes to the template and save the test event.

Data Lake 70

Data Lake Metadata Testing Snapshot 70

IBM Big Data Hub

APRIL 9, 2024

Preparing and annotating data IBM watsonx.data helps organizations put their data to work, curating and preparing data for use in AI models and applications. “Being able to organize the data around that structure helps us to efficiently query, retrieve and use the information downstream, for example for AI narration.”

Management 84

Management IT Machine Learning Metrics 84

CIO Business Intelligence

MARCH 29, 2024

One of the most valuable aspects of AWS Bedrock, Woodring says, is that it establishes a standard data platform for Rocket, which will enable the mortgage lender to get its data “very quickly” to the right AI model. In other cases, Rocket will test out various AI models and “see their efficacy in different tasks,” Woodring says.

Data Lake 115

Data Lake Machine Learning Data Warehouse Unstructured Data 115

AWS Big Data

NOVEMBER 9, 2023

A modern data platform entails maintaining data across multiple layers, targeting diverse platform capabilities like high performance, ease of development, cost-effectiveness, and DataOps features such as CI/CD, lineage, and unit testing. local/bin/dbt test –-select your_package.* /usr/local/airflow/.local/bin/dbt

Data Warehouse 103

Data Warehouse Testing Data Quality Reporting 103

Domino Data Lab

AUGUST 9, 2021

With the right tools, your data science teams can focus on what they do best – testing, developing and deploying new models while driving forward-thinking innovation. In general terms, a model is a series of algorithms that can solve problems when given appropriate data. It’s most helpful in analyzing structured data.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

Smarten

MAY 17, 2023

Create a Sandbox Environment If you are in the business of technology, you probably have a robust sandbox environment in which you can use new tools and leverage opportunities with test data to understand the value of tools like Azure OpenAI, GPT 3.x Creating Summary Data for Unstructured Documents (PDFs, HTML, Websites, etc.)

Digital Transformation 52

Digital Transformation Experimentation Risk Testing 52

Ontotext

FEBRUARY 14, 2024

If you ask it to generate a response, and maybe it hallucinates, you can then constrain the response it gives you, from the well-curated data in your graph. Data quality Knowledge graphs thrive on clean, well-structured data, and they rely on accurate relationships and meaningful connections. How do you do that?

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105

Rocket-Powered Data Science

JULY 14, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage.

Analytics 165

Analytics Internet of Things Prescriptive Analytics Data Science 165

AWS Big Data

OCTOBER 18, 2023

Spark SQL is an Apache Spark module for structured data processing. They use various AWS analytics services, such as Amazon EMR, to enable their analysts and data scientists to apply advanced analytics techniques to interactively develop and test new surveillance patterns and improve investor protection.

Big Data 79

Big Data Data Processing Interactive Testing 79

AWS Big Data

DECEMBER 21, 2023

For the downstream consumption by all departments across the organization, smava’s Data Platform team prepares curated data products following the extract, load, and transform (ELT) pattern. Changes on the Git repository are automatically deployed to a test stage and validated using automated integration tests.

Data Lake 87

Data Lake Data Warehouse Data-driven B2B 87

AWS Big Data

JUNE 6, 2023

In order to mature our data marts, it became clear that we needed to provide Analysts and other data consumers with all tracked digital analytics data in our DWH as they depend on it for analyses, reporting, campaign evaluation, product development and A/B testing. It consists of full-day and intraday tables.

Analytics 55

Analytics Data Lake Testing Optimization 55

IBM Big Data Hub

NOVEMBER 29, 2023

Furthermore, AI algorithms’ capacity for recognizing patterns—by learning from your company’s unique historical data—can empower businesses to predict new trends and spot anomalies sooner and with low latency. Event endpoint management : Describe and document events easily according to the Async API specification.

Unstructured Data 90

Unstructured Data Data-driven ROI Machine Learning 90

AWS Big Data

AUGUST 31, 2023

Hence, automatic notifications are more often required in order to accelerate data ingestion, facilitate monitoring and provide accurate tracking about the process. Amazon Redshift is a fast, fully managed, cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data.

Data Warehouse 81

Data Warehouse Data-driven Testing Business Intelligence 81

Juice Analytics

MARCH 27, 2021

DataPoint by PresentationPoint “Do you want to save time and money with real-time linking your slides to data sources, instant data updates, and no more copy-paste errors?” This time-tested product has a load of data connection and automation features to make you more efficient. See it in action in this video.

Reporting 122

Reporting Visualization Software Interactive 122

CIO Business Intelligence

APRIL 14, 2022

Companies with data turn to Snowflake to store and analyze it instead of building their own infrastructure. The company offers a scalable, maintenance-free option that ingests structured and semi-structured data and then offers a variety of standard reporting and AI services.

Enterprise 128

Enterprise Marketing Measurement Reporting 128

AWS Big Data

FEBRUARY 7, 2023

Business needs often drive table structure, such as schema evolution (the addition of new columns, removal of existing columns, update of column names, and so on) for some of these tables in one business function that requires other business functions to replicate the same. Start the AWS DMS task. and save it. Run the Lambda function.

Data Lake 72

Data Lake Testing Big Data Structured Data 72

AWS Big Data

APRIL 2, 2024

Without the right metadata and documentation, data consumers overlook valuable datasets relevant to their use case or spend more time going back and forth with data producers to understand the data and its relevance for their use case—or worse, misuse the data for a purpose it was not intended for.

Metadata 87

Metadata Metrics Data-driven Modeling 87

Cloudera

JUNE 3, 2022

Data scientists are likely to use a variety of different tools to move through their processes. It could be a homespun version of PostgreSQL on their local machine for exploring structured data sets; to visualize, they could be writing code or using a BI tool like Tableau or PowerBI. Next Steps.

Dashboards 89

Dashboards Visualization Machine Learning Data Science 89

AWS Big Data

AUGUST 2, 2023

The workflow includes the following steps: GitHub webhook events stream data to both Amazon S3 and OpenSearch Service, facilitating real-time data analysis. A Lambda function connects to an API Gateway REST API, processing and structuring the received payloads. Copy the REST API URL and enter this newly created webhook.

Visualization 79

Visualization Insurance Cost-Benefit Finance 79

Ontotext

APRIL 27, 2021

Compared with other industries, healthcare has a fair amount of structured data, which is helpful. They also developed a large-scale knowledge graph for an early hypothesis testing tool. Tried and Tested. They have to because people’s lives are at stake.

Knowledge Discovery 59

Knowledge Discovery Unstructured Data Insurance Testing 59

CIO Business Intelligence

NOVEMBER 14, 2022

They emphasize access to and manipulation of large databases of structured data, often a time-series of internal company data and sometimes external data. XLSTAT is an Excel data analysis add-on geared for corporate users and researchers. Model-driven DSS.

Data mining 130

Data mining Data-driven Statistics OLAP 130

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. This approach minimizes the need for making query adjustments in multiple locations.

Data Warehouse 90

Data Warehouse Data Lake Analytics Data Science 90

IBM Big Data Hub

JULY 5, 2022

From powering the Marriott Bonvoy loyalty program used by 140M+ customers, to enabling AI to assist Via’s riders in 36 million trips per year , Db2 i s the tested, resilient, and hybrid database providing the extreme availability, built-in refined security, effortless scalability, and intelligent automation for systems that run the world.

Data Lake 93

Data Lake Data Warehouse Publishing Structured Data 93

AWS Big Data

MARCH 28, 2023

Test SCD Type 2 implementation With the infrastructure in place, you’re ready to test out the overall solution design and query historical records from the employee dataset. This post is designed to be implemented for a real customer use case, where you get full snapshot data on a daily basis.

Data Lake 69

Data Lake Testing Snapshot Sales 69

AWS Big Data

MARCH 27, 2024

The Data Catalog objects are listed under the awsdatacatalog database. FHIR data stored in AWS HealthLake is highly nested. To learn about how to un-nest semi-structured data with Amazon Redshift, see Tutorial: Querying nested data with Amazon Redshift Spectrum.

Data Analytics 89

Data Analytics Analytics Data Warehouse Data Lake 89

CIO Business Intelligence

JUNE 28, 2022

Some of the paradoxes relate to the practical challenges of gathering and organizing so much data. Others are philosophical, testing our ability to reason about abstract qualities. And then there is the rise of privacy concerns around so much data being collected in the first place. Even structured data is often unstructured.

Management 132

Management Internet of Things Statistics Data-driven 132

AWS Big Data

OCTOBER 2, 2023

The function JSON_PARSE allows you to extract the binary data in the stream and convert it into the SUPER data type. With the SUPER data type and PartiQL language, Amazon Redshift extends its capabilities for semi-structured data analysis. For details, refer to Creating a scalar Lambda UDF.

Cost-Benefit 84

Cost-Benefit Metadata Structured Data Management 84

Ontotext

JUNE 22, 2023

The long wait comes from the need for extensive testing in order to ensure that a drug is safe and efficient before it can be available to those who need it. This disheartening success rate is the result of the immense challenges faced by the Pharma industry today. This saves valuable time and effort for both research and technical teams.

Metrics 52

Metrics Statistics Visualization Metadata 52

AWS Big Data

JULY 12, 2023

One of the key advantages of dbt is its ability to foster seamless collaboration within and across data analytics teams. A comprehensive testing framework ensures that your models consistently deliver accurate and reliable data, while modularity enables faster development via component reusability.

Data Warehouse 52

Data Warehouse Modeling Dashboards Data Lake 52