Octopai

JUNE 26, 2020

Steve needed a robust and automated metadata management solution as part of his organization’s data governance strategy. Metadata in data governance. What many enterprises have not yet come to terms with when implementing their data governance strategy and supporting tools, is the criticality of metadata in the process.

Metadata 98

Metadata Data Governance Enterprise Reporting 98

AWS Big Data

JULY 8, 2024

We are excited to announce the preview of API-driven, OpenLineage-compatible data lineage in Amazon DataZone to help you capture, store, and visualize lineage of data movement and transformations of data assets on Amazon DataZone. The lineage visualized includes activities inside the Amazon DataZone business data catalog.

Visualization 109

Visualization Metadata Publishing Sales 109

AWS Big Data

JANUARY 15, 2025

In addition to real-time analytics and visualization, the data needs to be shared for long-term data analytics and machine learning applications. From here, the metadata is published to Amazon DataZone by using AWS Glue Data Catalog. This process is shown in the following figure.

IoT 101

IoT Machine Learning Metadata Data-driven 101

AWS Big Data

OCTOBER 24, 2024

OpenSearch Service stores different types of stored objects, such as dashboards, visualizations, alerts, security roles, index templates, and more, within the domain. As your user base and number of Amazon OpenSearch Service domains grow, tracking activities and changes to those saved objects becomes increasingly difficult.

Visualization 92

Visualization Management Data Processing Testing 92

AWS Big Data

NOVEMBER 17, 2023

These include internet-scale web and mobile applications, low-latency metadata stores, high-traffic retail websites, Internet of Things (IoT) and time series data, online gaming, and more. Table metadata, such as column names and data types, is stored using the AWS Glue Data Catalog. You don’t need to write any code. Choose Next.

Visualization 97

Visualization Metadata Testing Internet of Things 97

AWS Big Data

DECEMBER 4, 2024

The Institutional Data & AI platform adopts a federated approach to data while centralizing the metadata to facilitate simpler discovery and sharing of data products. A data portal for consumers to discover data products and access associated metadata. Subscription workflows that simplify access management to the data products.

Metadata 94

Metadata Data Governance Data Quality Data-driven 94

CIO Business Intelligence

DECEMBER 18, 2024

This ability builds on the deep metadata context that Salesforce has across a variety of tasks. But whats new, according to Amalgam Insights chief analyst Hyoun Park, is Agent Builders ability to suggest agent topics and instructions.

Enterprise 98

Enterprise IT Sales Metadata 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. erwin Data Modeler: Where the Magic Happens.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

CIO Business Intelligence

JANUARY 9, 2025

Content management systems: Content editors can search for assets or content using descriptive language without relying on extensive tagging or metadata. This makes it possible to create dynamic, graphical user interfaces that visually represent complex information. and immediately receive relevant answers and visualizations.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

AWS Big Data

AUGUST 26, 2024

AWS Glue Studio visual editor provides a low-code graphic environment to build, run, and monitor extract, transform, and load (ETL) scripts. Crawlers explore data stores and auto-generate metadata to populate the Data Catalog, registering discovered tables in the Data Catalog. This saves time over manually defining schemas.

Visualization 107

Visualization Metadata Data Transformation Testing 107

Smart Data Collective

AUGUST 25, 2020

Some of the benefits are detailed below: Optimizing metadata for greater reach and branding benefits. One of the most overlooked factors is metadata. Metadata is important for numerous reasons. Search engines crawl metadata of image files, videos and other visual creative when they are indexing websites.

Data mining 137

Data mining Metadata Big Data ROI 137

AWS Big Data

MARCH 29, 2024

QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. An AWS Glue crawler scans data on the S3 bucket and populates table metadata on the AWS Glue Data Catalog. You can deploy the end-to-end solution to visualize and analyze trends of the observability metrics.

Metrics 119

Metrics Visualization Dashboards Interactive 119

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.

Data Science 286

Data Science Forecasting Business Intelligence Sales 286

AWS Big Data

FEBRUARY 6, 2023

Choose the table to view the schema and other metadata. Select Visual with a source and target. Conclusion In this post, we showed how to set up an AWS Glue crawler to crawl over a MongoDB Atlas collection, gathering metadata and creating table records in the AWS Glue Data Catalog. Choose Create job.

Metadata 83

Metadata Data Lake Machine Learning Big Data 83

Smart Data Collective

SEPTEMBER 26, 2021

As data sets become bigger, it becomes harder to visualize information. Data visualization enables you to: Make sense of the distributional characteristics of variables Easily identify data entry issues Choose suitable variables for data analysis Assess the outcome of predictive models Communicate the results to those interested.

Metadata 130

Metadata Visualization Unstructured Data Data mining 130

datapine

MAY 29, 2019

In this post, we will explain the definition, connection, and differences between data warehousing and business intelligence , provide a BI architecture diagram that will visually explain the correlation of these terms, and the framework on which they operate. But first, let’s start with basic definitions. click to enlarge**.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

erwin

MARCH 30, 2020

Unraveling Data Complexities with Metadata Management. Metadata management will be critical to the process for cataloging data via automated scans. Essentially, metadata management is the administration of data that describes other data, with an emphasis on associations and lineage. Data lineage to support impact analysis.

Metadata 122

Metadata IT Data Governance Data Quality 122

Alation

AUGUST 18, 2022

Active metadata will play a critical role in automating such updates as they arise. His work produced control-flow graphs with nodes and edges as a visual representation of complexity. This approach ensures lineage is easy to visualize. The markup can be extracted and used in a wide array of visual tools.

Metadata 69

Metadata Visualization Statistics Data Architecture 69

AWS Big Data

DECEMBER 16, 2024

With the ability to browse metadata, you can understand the structure and schema of the data source, identify relevant tables and fields, and discover useful data assets you may not be aware of. You can navigate to the projects Data page to visually verify the existence of the newly created table. Under Create job , choose Visual ETL.

Visualization 72

Visualization Data Processing Testing Publishing 72

Octopai

MARCH 31, 2021

Look for the Metadata. This metadata (read: data about your data) is key to tracking your data. In other words, kind of like Hansel and Gretel in the forest, your data leaves a trail of breadcrumbs – the metadata – to record where it came from and who it really is. Let’s Get Mapping.

Metadata 133

Metadata Data Transformation Business Intelligence Reporting 133

Smarten

NOVEMBER 26, 2024

The graph visually represents both non-missing (non-null) values and missing (null) values, allowing you to quickly identify which columns have incomplete data. Column Metadata – Provides information on the dataset’s recency, such as the last update and publication dates.

Machine Learning 64

Machine Learning Data Quality Predictive Modeling Metadata 64

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 59

Analytics Data Lake Metadata Data Warehouse 59

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 101

Metadata Data Lake Visualization Data Transformation 101

erwin

JANUARY 17, 2020

Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise. What is Data Modeling? SQL or NoSQL?

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

Ontotext

NOVEMBER 18, 2021

And all of them are asking hard questions: “Can you integrate my data, with my particular format?”, “How well can you scale?”, “How many visualizations do you offer?”. You have to take care of data extraction, transformation and loading, and of visualization. Nowadays, data analytics doesn’t exist on its own. Inferring new knowledge.

Visualization 98

Visualization Reporting Metadata Enterprise 98

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

erwin

MAY 27, 2020

Visualizing data from anywhere defined by its context and definition in a central model repository, as well as the rules for governing the use of those data elements, unifies enterprise data management. Provide metadata and schema visualization regardless of where data is stored. Create database designs from visual models.

Modeling 98

Modeling Metadata Data Governance Visualization 98

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 118

Management Metadata Analytics Dashboards 118

AWS Big Data

OCTOBER 21, 2024

It provides data catalog, automated crawlers, and visual job creation to streamline data integration across various data sources and targets. Business analysts enhance the data with business metadata/glossaries and publish the same as data assets or data products. Amazon Athena is used to query, and explore the data.

Sales 105

Sales Data-driven Data Processing Key Performance Indicator 105

AWS Big Data

OCTOBER 25, 2023

Solution overview Data and metadata discovery is one of the primary requirements in data analytics, where data consumers explore what data is available and in what format, and then consume or query it for analysis. But in the case of unstructured data, metadata discovery is challenging because the raw data isn’t easily readable.

Unstructured Data 129

Unstructured Data Metadata Management Analytics 129

AWS Big Data

JUNE 7, 2023

This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. To share the datasets, they needed a way to share access to the data and access to catalog metadata in the form of tables and views. The target accounts read data from the source account S3 buckets.

Metadata 59

Metadata Data Lake Machine Learning Big Data 59

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. We enhanced support for querying Apache Iceberg data and improved the performance of querying Iceberg up to threefold year-over-year.

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. And lets not forget about the controls.

Metadata 52

Metadata Data Quality Sales Modeling 52

AWS Big Data

NOVEMBER 3, 2023

In this post, we explore how to combine AWS Glue usage information and metrics with centralized reporting and visualization using QuickSight. You have metrics available per job run within the AWS Glue console, but they don’t cover all available AWS Glue job metrics, and the visuals aren’t as interactive compared to the QuickSight dashboard.

Metrics 101

Metrics Dashboards Metadata Visualization 101

DataKitchen

FEBRUARY 2, 2023

Most data governance tools today start with the slow, waterfall building of metadata with data stewards and then hope to use that metadata to drive code that runs in production. In reality, the ‘active metadata’ is just a written specification for a data developer to write their code.

Metadata 130

Metadata Testing Data Science Risk 130

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

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