AWS Big Data

DECEMBER 16, 2024

This approach simplifies your data journey and helps you meet your security requirements. The SageMaker Lakehouse data connection testing capability boosts your confidence in established connections. You can navigate to the projects Data page to visually verify the existence of the newly created table. Choose Save.

Visualization 93

Visualization Data Processing Testing Publishing 93

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 105

Visualization Management Data Processing Testing 105

Octopai

JUNE 26, 2020

In order to figure out why the numbers in the two reports didn’t match, Steve needed to understand everything about the data that made up those reports – when the report was created, who created it, any changes made to it, which system it was created in, etc. Enterprise data governance. Metadata in data governance.

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 118

Visualization Metadata Publishing Sales 118

Smart Data Collective

AUGUST 25, 2020

Web developers utilized data to some capacity as well, but marketers rarely considered doing so. Big data has become critical to the evolution of digital marketing. Some of the benefits are detailed below: Optimizing metadata for greater reach and branding benefits. One of the most overlooked factors is metadata.

Data mining 137

Data mining Metadata Big Data ROI 137

AWS Big Data

NOVEMBER 17, 2023

DynamoDB offers built-in security, continuous backups, automated multi-Region replication, in-memory caching, and data import and export tools. The scalability and flexible data schema of DynamoDB make it well-suited for a variety of use cases. Data stored in DynamoDB is the basis for valuable business intelligence (BI) insights.

Visualization 113

Visualization Metadata Testing Internet of Things 113

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. Row type – Enable this option to display only rows that have at least one cell with authorized data.

Data Processing 97

Data Processing Metadata Publishing Testing 97

AWS Big Data

DECEMBER 4, 2024

Institutional Data & AI Platform architecture The Institutional Division has implemented a self-service data platform to enable the domain teams to build and manage data products autonomously. The following diagram illustrates the building blocks of the Institutional Data & AI Platform.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

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. Looking at the Skewness Job per Job visualization, there was spike on November 1, 2023.

Metrics 128

Metrics Visualization Dashboards Publishing 128

AWS Big Data

FEBRUARY 6, 2023

Review the MongoDB AWS Glue database and table We can navigate to the AWS Glue Data Catalog to examine the tables that were created by the crawler. Choose the table to view the schema and other metadata. Note that the crawler captured nested data as a STRUCT and correctly listed the ARRAY fields. Choose Create job.

Metadata 98

Metadata Data Lake Machine Learning Big Data 98

AWS Big Data

DECEMBER 4, 2024

After you create a connection once, you can choose to use the same connection across various AWS Glue components including Glue ETL, Glue Visual ETL and zero-ETL. The following are the key components and steps in the integration process: Zero-ETL extracts and loads the data into Amazon S3 , a highly scalable object storage service.

Data Integration 114

Data Integration Data Lake Statistics Data-driven 114

AWS Big Data

MAY 2, 2025

Through a visual designer, you can configure custom AI search flowsa series of AI-driven data enrichments performed during ingestion and search. You can use the flow builder through APIs or a visual designer. The visual designer is recommended for helping you manage workflow projects. that can operate on text and images.

Machine Learning 86

Machine Learning Visualization Dashboards Metadata 86

AWS Big Data

DECEMBER 4, 2024

SageMaker brings together widely adopted AWS ML and analytics capabilities—virtually all of the components you need for data exploration, preparation, and integration; petabyte-scale big data processing; fast SQL analytics; model development and training; governance; and generative AI development.

Data Analytics 103

Data Analytics Analytics Data Lake Data Quality 103

Smart Data Collective

SEPTEMBER 26, 2021

Working with massive structured and unstructured data sets can turn out to be complicated. It’s obvious that you’ll want to use big data, but it’s not so obvious how you’re going to work with it. So, let’s have a close look at some of the best strategies to work with large data sets. It’s a good idea to record metadata.

Metadata 130

Metadata Visualization Unstructured Data Data mining 130

AWS Big Data

AUGUST 26, 2024

You can use AWS Glue Studio to set up data replication and mask PII with no coding required. AWS Glue Studio visual editor provides a low-code graphic environment to build, run, and monitor extract, transform, and load (ETL) scripts. This helps you to discover and work with the data to build ETL jobs.

Visualization 115

Visualization Metadata Data Transformation Testing 115

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architect vs. data engineer The data architect and data engineer roles are closely related.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

Smart Data Collective

APRIL 14, 2021

Advancement in big data technology has made the world of business even more competitive. The proper use of business intelligence and analytical data is what drives big brands in a competitive market. Business intelligence tools can include data warehousing, data visualizations, dashboards, and reporting.

Business Intelligence 138

Business Intelligence Dashboards Visualization Big Data 138

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

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. He/she assists the organization by providing clarity and insight into advanced data technology solutions.

Data Quality 241

Data Quality Metrics Data-driven Management 241

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.

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 98

AWS Big Data

APRIL 3, 2024

Data engineers use Apache Iceberg because it’s fast, efficient, and reliable at any scale and keeps records of how datasets change over time. Apache Iceberg offers integrations with popular data processing frameworks such as Apache Spark, Apache Flink, Apache Hive, Presto, and more.

Data Lake 126

Data Lake Snapshot Metadata Data Architecture 126

AWS Big Data

OCTOBER 21, 2024

Let’s briefly describe the capabilities of the AWS services we referred above: AWS Glue is a fully managed, serverless, and scalable extract, transform, and load (ETL) service that simplifies the process of discovering, preparing, and loading data for analytics. Amazon Athena is used to query, and explore the data.

Sales 115

Sales Data-driven Data Processing Key Performance Indicator 115

erwin

JANUARY 17, 2020

What is Data Modeling? 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.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

AWS Big Data

OCTOBER 25, 2023

But most important of all, the assumed dormant value in the unstructured data is a question mark, which can only be answered after these sophisticated techniques have been applied. Therefore, there is a need to being able to analyze and extract value from the data economically and flexibly. The solution integrates data in three tiers.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

AWS Big Data

FEBRUARY 26, 2025

The next generation of SageMaker also introduces new capabilities, including Amazon SageMaker Unified Studio (preview) , Amazon SageMaker Lakehouse , and Amazon SageMaker Data and AI Governance. These metadata tables are stored in S3 Tables, the new S3 storage offering optimized for tabular data. With AWS Glue 5.0,

Analytics 60

Analytics Data Lake Metadata Data Warehouse 60

erwin

MAY 27, 2020

And it exists across these hybrid architectures in different formats: big and unstructured and traditional structured business data may physically sit in different places. What’s desperately needed is a way to understand the relationships and interconnections between so many entities in data sets in detail.

Modeling 98

Modeling Metadata Data Governance Visualization 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 110

Metadata Data Lake Visualization Data Quality 110

AWS Big Data

OCTOBER 11, 2023

It shows a call center streaming data source that sends the latest call center feed in every 15 seconds. The second streaming data source constitutes metadata information about the call center organization and agents that gets refreshed throughout the day. client("s3") S3_BUCKET = ' ' kinesis_client = boto3.client("kinesis")

Management 130

Management Metadata Analytics Dashboards 130

AWS Big Data

DECEMBER 10, 2024

To interact with and analyze data stored in Amazon Redshift, AWS provides the Amazon Redshift Query Editor V2 , a web-based tool that allows you to explore, analyze, and share data using SQL. The Query Editor V2 offers a user-friendly interface for connecting to your Redshift clusters, executing queries, and visualizing results.

Sales 105

Sales Metadata Enterprise Testing 105

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. Big Data Architect.

Metadata 115

Metadata Dashboards Metrics Visualization 115

AWS Big Data

AUGUST 15, 2024

To address the issue of data quality, Amazon DataZone now integrates directly with AWS Glue Data Quality, allowing you to visualize data quality scores for AWS Glue Data Catalog assets directly within the Amazon DataZone web portal. Amazon DataZone natively supports data sharing for Amazon Redshift data assets.

Data Quality 110

Data Quality Visualization Metadata Key Performance Indicator 110

erwin

JANUARY 3, 2020

Understanding the data governance trends for the year ahead will give business leaders and data professionals a competitive edge … Happy New Year! Regulatory compliance and data breaches have driven the data governance narrative during the past few years.

Data Governance 139

Data Governance Digital Transformation IoT Metadata 139

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 114

Metrics Dashboards Metadata Visualization 114

AWS Big Data

JUNE 7, 2023

Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. The target accounts read data from the source account S3 buckets.

Metadata 58

Metadata Data Lake Machine Learning Big Data 58

CIO Business Intelligence

MARCH 24, 2023

The program must introduce and support standardization of enterprise data. Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata.

Data Governance 142

Data Governance Management Metadata Data Quality 142

FineReport

FEBRUARY 5, 2020

Both the investment community and the IT circle are paying close attention to big data and business intelligence. Metadata management. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. Analytics dashboards.

Metadata 98

Metadata Dashboards Informatics Visualization 98

AWS Big Data

JANUARY 18, 2024

The publishing and subscription workflows of DataZone enhance collaboration between various roles in your organization and speed up the time to derive business insights from your data. You can enhance the technical metadata of the Data Catalog using AI-powered assistants into business metadata of DataZone, making it more easily discoverable.

Data Lake 118

Data Lake Metadata Data Governance Statistics 118