AWS Big Data

DECEMBER 10, 2024

The Query Editor V2 offers a user-friendly interface for connecting to your Redshift clusters, executing queries, and visualizing results. Save the federation metadata XML file You use the federation metadata file to configure the IAM IdP in a later step. Test the SSO setup You can now test the SSO setup.

Sales 105

Sales Metadata Enterprise Testing 105

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

For the purposes of this post, we use a local machine based on MacOS and Visual Studio Code as our integrated development environment (IDE), but you could use your preferred development environment and IDE. Unfiltered Table Metadata This tab displays the response of the AWS Glue API GetUnfilteredTableMetadata policies for the selected table.

Data Processing 98

Data Processing Metadata Publishing Testing 98

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

DataKitchen

JANUARY 5, 2021

Execution of this mission requires the contribution of several groups: data center/IT, data engineering, data science, data visualization, and data governance. Data Visualization, Preparation – Self-service tools sucha as Tableau, Alteryx. Data Visualization, Preparation – Self-service tools sucha as Tableau, Alteryx.

Testing 147

Testing Data Governance Metadata Visualization 147

AWS Big Data

AUGUST 26, 2024

Duplicating data from a production database to a lower or lateral environment and masking personally identifiable information (PII) to comply with regulations enables development, testing, and reporting without impacting critical systems or exposing sensitive customer data. These tables are the metadata representation of the customer tables.

Visualization 116

Visualization Metadata Data Transformation Testing 116

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. What is Data in Use?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

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

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

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 98

Data Lake Data Warehouse Data-driven Optimization 98

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 111

Metadata Data Lake Visualization Data Quality 111

datapine

JANUARY 31, 2022

Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated. BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. 6) Smart and faster reporting.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

AWS Big Data

OCTOBER 11, 2023

The second streaming data source constitutes metadata information about the call center organization and agents that gets refreshed throughout the day. The near-real-time insights can then be visualized as a performance dashboard using OpenSearch Dashboards. client("s3") S3_BUCKET = ' ' kinesis_client = boto3.client("kinesis")

Management 131

Management Metadata Analytics Dashboards 131

AWS Big Data

FEBRUARY 26, 2025

Amazon SageMaker Unified Studio brings together functionality and tools from the range of standalone studios, query editors, and visual tools available today in Amazon EMR , AWS Glue , Amazon Redshift , Amazon Bedrock , and the existing Amazon SageMaker Studio. With AWS Glue 5.0,

Analytics 61

Analytics Data Lake Metadata Data Warehouse 61

datapine

SEPTEMBER 29, 2022

As quality issues are often highlighted with the use of dashboard software , the change manager plays an important role in the visualization of data quality. It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

OCTOBER 13, 2023

The data architect is responsible for visualizing and designing an organization’s enterprise data management framework. Data architects and data engineers work together to visualize and build the enterprise data management framework. In some ways, the data architect is an advanced data engineer.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

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

AWS Big Data

FEBRUARY 12, 2024

Instead, they rely on up-to-date dashboards that help them visualize data insights to make informed decisions quickly. QuickSight is used to query, build visualizations, and publish dashboards using the data from the query results. After a successful update of the AWS Glue table metadata, the state machine is complete.

Publishing 111

Publishing Dashboards Metadata Visualization 111

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. And lets not forget about the controls.

Metadata 52

Metadata Data Quality Sales Modeling 52

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

SEPTEMBER 7, 2023

AWS Glue Data Catalog stores information as metadata tables, where each table specifies a single data store. The AWS Glue crawler writes metadata to the Data Catalog by classifying the data to determine the format, schema, and associated properties of the data. For additional information, see Visualize with QuickSight using Athena.

Metadata 116

Metadata Dashboards Metrics Visualization 116

erwin

NOVEMBER 6, 2020

Metadata Harvesting and Ingestion : Automatically harvest, transform and feed metadata from virtually any source to any target to activate it within the erwin Data Catalog (erwin DC). Data Cataloging: Catalog and sync metadata with data management and governance artifacts according to business requirements in real time.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

CIO Business Intelligence

MARCH 24, 2023

Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata. Key features include a collaborative business glossary, the ability to visualize data lineage, and generate data quality measurements based on business definitions.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

OCTOBER 26, 2023

Through use of data analytics, data visualization, and data modeling techniques and technologies, BI analysts can identify trends that can help other departments, managers, and executives make business decisions to modernize and improve processes in the organization.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

AWS Big Data

JUNE 5, 2024

It also integrates with other OpenSearch integrations so you can install prepackaged queries and visualizations to analyze your data, making it straightforward to quickly get started. You can now analyze data in cloud object stores and simultaneously use the operational analytics and visualizations of OpenSearch Service.

Data Lake 121

Data Lake Dashboards Cost-Benefit Visualization 121

erwin

AUGUST 7, 2019

With the right data catalog tool, organizations can automate enterprise metadata management – including data cataloging, data mapping, data quality and code generation for faster time to value and greater accuracy for data movement and/or deployment projects. A data catalog benefits organizations in a myriad of ways.

Metadata 90

Metadata Data Governance Data Quality Data Warehouse 90

erwin

SEPTEMBER 25, 2020

It serves as a visual guide in designing and deploying databases with high-quality data sources as part of application development. A data model is a visual representation of data elements and the relationships between them. Data modeling is a critical component of metadata management , data governance and data intelligence.

Modeling 111

Modeling Cost-Benefit Visualization Data Warehouse 111

CIO Business Intelligence

MARCH 18, 2024

Additionally, if any user makes changes to the information, the metadata should be configured to identify the user or computer resource that made those changes. Instead of the government acting as a watchdog, it aims to strike a balance between fostering innovation and mitigating potential risks associated with AI technologies.

Metadata 93

Metadata Visualization Modeling Risk 93

AWS Big Data

APRIL 3, 2024

We discuss how to visualize data quality scores in Amazon DataZone, enable AWS Glue Data Quality when creating a new Amazon DataZone data source, and enable data quality for an existing data asset. If the asset has AWS Glue Data Quality enabled, you can now quickly visualize the data quality score directly in the catalog search pane.

Data Quality 119

Data Quality Visualization Metadata Metrics 119

Domino Data Lab

JANUARY 11, 2021

Today, PyCaret still utilizes many modules that will be familiar to Pythonistas: Pandas and Numpy for data wrangling, Matplotlib, Plotly and Seaborn for visualization, scikit-learn and XGBoost for modeling, Gensim, Spacy and NLTK for natural language processing, among others. Image from pycaret.org. Building a Pipeline. interpret_model(best).

Modeling 145

Modeling Metrics Data Science Testing 145

Cloudera

MAY 19, 2021

Parquet also stores type metadata which makes reading back and processing the files later slightly easier. In the `First_Exploration.ipynb` we also leverage `cuXfilter`, a RAPIDS-accelerated cross filtering visualization library for some of the charts. This notebook goes through loading just the train and test datasets.

Machine Learning 137

Machine Learning Data Science Data Lake Modeling 137

Ontotext

NOVEMBER 4, 2021

metaphacts extended the visual exploration capabilities metaphactory – it’s Path Finder facility uses GraphDB’s Graph Path Search. You will learn more about statement level metadata , the pros and cons of RDF-star, how SPARQ-star works and how different RDF engines implement RDF-star. release.

Metadata 98

Metadata Visualization Modeling Enterprise 98

Alation

MAY 4, 2023

Are you an aspiring data scientist , or just want to understand the benefits of integrating data catalogs with visualization tools? By combining the power of two solutions — data catalogs and data visualization tools — you can get a deeper understanding of your information landscape and create meaningful insights faster.

Visualization 52

Visualization Metadata Data Governance KPI 52

AWS Big Data

NOVEMBER 15, 2023

Additionally, it incorporates BMW Group’s internal system to integrate essential metadata, offering a comprehensive view of the data across various dimensions, such as group, department, product, and applications. Once released, consumers use datasets from different providers for analysis, machine learning (ML) workloads, and visualization.

Analytics 111

Analytics Dashboards Metadata Data Warehouse 111

Cloudera

DECEMBER 9, 2022

They value NiFi’s visual, no-code, drag-and-drop UI, the 450+ out-of-the-box processors and connectors, as well as the ability to interactively explore data by starting individual processors in the flow and immediately seeing the impact as data streams through the flow. . Enabling self-service for developers.

Testing 100

Testing Cost-Benefit Interactive Visualization 100

CIO Business Intelligence

SEPTEMBER 26, 2023

Combining these analytics with AIOps health analytics, cybersecurity assessments, and system metadata, gives you insights to make the best sustainability decisions about workload consolidation to reduce your IT footprint and lower emissions and energy costs. Her career began in the semiconductor test industry.

IT 138

IT Key Performance Indicator Software Metadata 138

Domino Data Lab

JUNE 13, 2019

Recently, Chhavi Yadav (NYU) and Leon Bottou (Facebook AI Research and NYU) indicated in their paper, “ Cold Case: The Lost MNIST Digits ”, how they reconstructed the MNIST (Modified National Institute of Standards and Technology) dataset and added 50,000 samples to the test set for a total of 60,000 samples. Did they overfit the test set?

Testing 83

Testing Data Science Experimentation Metadata 83