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. For the template and setup information, refer to Test Your Streaming Data Solution with the New Amazon Kinesis Data Generator. We use two datasets in this post.

Management 101

Management Metadata Analytics Dashboards 101

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

MARCH 4, 2024

Apache Iceberg manages these schema changes in a backward-compatible way through its innovative metadata table evolution architecture. With Lake Formation, you can manage fine-grained access control for your data lake data on Amazon S3 and its metadata in the Data Catalog. Iceberg maintains the table state in metadata files.

Snapshot 108

Snapshot Data Lake Metadata Recreation/Entertainment 108

AWS Big Data

MARCH 14, 2023

If you have integrated IAM Identity Center with your Identity Provider (IdP), you can use existing users and groups mapped to your IdP for this test. Test your users in IAM Identity Center (to create users, refer to Add users ). For more information, refer to SAML authentication for OpenSearch Dashboards.

Metadata 93

Metadata Dashboards Testing Management 93

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 131

Data Architecture Data Warehouse Statistics Visualization 131

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 85

Metadata Metrics Data-driven Modeling 85

AWS Big Data

NOVEMBER 15, 2023

Pre-loading of reference data provides low latency and high throughput. For a general overview of data enrichment patterns, refer to Common streaming data enrichment patterns in Amazon Managed Service for Apache Flink. To compare the performance of the enrichment patterns, we ran performance testing based on synthetic data.

Testing 86

Testing Optimization Management Metadata 86

AWS Big Data

JANUARY 16, 2024

Within Airflow, the metadata database is a core component storing configuration variables, roles, permissions, and DAG run histories. A healthy metadata database is therefore critical for your Airflow environment. The third component is for creating and storing backups of all configurations and metadata that is required to restore.

Strategy 98

Strategy Metadata Metrics Dashboards 98

AWS Big Data

APRIL 19, 2023

We split the solution into two primary components: generating Spark job metadata and running the SQL on Amazon EMR. The first component (metadata setup) consumes existing Hive job configurations and generates metadata such as number of parameters, number of actions (steps), and file formats. sql_path SQL file name.

Metadata 76

Metadata Testing Data Lake Consulting 76

AWS Big Data

DECEMBER 18, 2023

For more information, refer to IAM Policies for invoking AWS Glue job from Step Functions. Amazon S3 hosts the metadata of all the tables as a.csv file. To learn more about how distributed map redrive works, refer to Redriving Map Runs. The following diagram illustrates the Step Functions workflow.

Metadata 117

Metadata Visualization Data Lake Data-driven 117

AWS Big Data

OCTOBER 16, 2023

The individual pieces of data within these streams are often referred to as records. client('kinesis', region_name='ap-southeast-2') def lambda_handler(event, context): try: response = client.put_record( StreamName='test', Data=b'Sample 1 MB.', To help you understand better, we experimented by trying to send a record of 1.5

Cost-Benefit 101

Cost-Benefit Testing Optimization Strategy 101

AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Apache Iceberg addresses customer needs by capturing rich metadata information about the dataset at the time the individual data files are created.

Data Lake 114

Data Lake Data Processing Metadata Snapshot 114

AWS Big Data

JUNE 2, 2023

We use AWS Glue , a fully managed, serverless, ETL (extract, transform, and load) service, and the Google BigQuery Connector for AWS Glue (for more information, refer to Migrating data from Google BigQuery to Amazon S3 using AWS Glue custom connectors ). If you don’t have one, refer to Amazon Redshift Serverless. An S3 bucket.

Metadata 107

Metadata Data Warehouse Big Data Testing 107

AWS Big Data

SEPTEMBER 13, 2023

AWS has invested in native service integration with Apache Hudi and published technical contents to enable you to use Apache Hudi with AWS Glue (for example, refer to Introducing native support for Apache Hudi, Delta Lake, and Apache Iceberg on AWS Glue for Apache Spark, Part 1: Getting Started ).

Data Lake 87

Data Lake Data Processing Metadata Snapshot 87

IBM Big Data Hub

JUNE 12, 2023

Evolving standards: New and evolving standards like Open RAN adoption require continuous updates and automated testing. Growing vendor ecosystems: Open standards and APIs mean many new vendors are developing network functions that require continuous interoperability testing support.

Testing 69

Testing Data Processing Metadata Management 69

AWS Big Data

APRIL 3, 2024

By selecting the corresponding asset, you can understand its content through the readme, glossary terms , and technical and business metadata. For instructions, refer to Amazon DataZone quickstart with AWS Glue data. We use this data source to import metadata information related to our datasets.

Data Quality 85

Data Quality Visualization Metadata Metrics 85

AWS Big Data

APRIL 18, 2023

Refer to Creating and managing Amazon OpenSearch Serverless collections to learn more about creating a collection. Under IAM Identity Center metadata , choose Download under IAM Identity Center SAML metadata file. We use this metadata file to create a SAML provider under OpenSearch Serverless. application. Choose Next.

Dashboards 76

Dashboards Metadata Management Testing 76

CIO Business Intelligence

MARCH 24, 2023

While data management has become a common term for the discipline, it is sometimes referred to as data resource management or enterprise information management (EIM). 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

AWS Big Data

FEBRUARY 7, 2024

Refer to How can I access OpenSearch Dashboards from outside of a VPC using Amazon Cognito authentication for a detailed evaluation of the available options and the corresponding pros and cons. For more information, refer to the AWS CDK v2 Developer Guide. For instructions, refer to Creating a public hosted zone. application.

Dashboards 79

Dashboards Data Processing Metadata Consulting 79

Ontotext

JUNE 27, 2019

GraphDB: MongoDB Document Store Integration for Large-scale Metadata Management. For example, it’s data generated as a result of text mining algorithms that includes document metadata attributes and annotations with links to the first type of information. Choose The Best RDF Database for Metadata Management. Prerequisites.

Metadata 40

Metadata Management Enterprise Optimization 40

Ontotext

JUNE 27, 2019

For example, it’s data generated as a result of text mining algorithms that includes document metadata attributes and annotations with links to the first type of information. In this experiment, we will show high-scalability when the articles/creative works are stored in MongoDB and all reference/true graph data in GraphDB.

Metadata 40

Metadata Management Optimization Enterprise 40

AWS Big Data

FEBRUARY 12, 2024

Complete the following steps to test the end-to-end flow of this solution: On the Step Functions console, navigate to the state machine you created. When the status changes to SUCCESS, it proceeds to the next step to retrieve the AWS Glue table metadata information. On the state machine details page, locate the latest query run.

Publishing 87

Publishing Dashboards Metadata Visualization 87

CIO Business Intelligence

MAY 10, 2023

This was on display during the initial test releases of Google Bard, where it provided a factually inaccurate answer on the James Webb Space Telescope based on reference data it ingested. The first step in this process is to ensure the right technical and business metadata is in place.

Metadata 98

Metadata Data Governance Modeling Technology 98

AWS Big Data

NOVEMBER 15, 2023

For more information on this foundation, refer to A Detailed Overview of the Cost Intelligence Dashboard. 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.

Dashboards 91

Dashboards Analytics Metadata Optimization 91

AWS Big Data

NOVEMBER 15, 2023

Pre-loading of reference data provides low latency and high throughput. For a general overview of data enrichment patterns, refer to Common streaming data enrichment patterns in Amazon Managed Service for Apache Flink. To compare the performance of the enrichment patterns, we ran performance testing based on synthetic data.

Testing 52

Testing Optimization Management Metadata 52

AWS Big Data

AUGUST 16, 2023

Change Data Capture (CDC) in the context of a data lake refers to the process of capturing and propagating changes made to source data. On the Code tab, choose Test , then Configure test event. Configure a test event with the default hello-world template event JSON.

Data Lake 68

Data Lake Metadata Testing Snapshot 68

AWS Big Data

JUNE 5, 2023

If you also needed to preserve the history of DAG runs, you had to take a backup of your metadata database and then restore that backup on the newly created environment. Amazon MWAA manages the entire upgrade process, from provisioning new Apache Airflow versions to upgrading the metadata database. or v2.0.2, and higher environment.

Snapshot 72

Snapshot Metadata Testing Data-driven 72

AWS Big Data

SEPTEMBER 6, 2023

For testing, this post includes a sample AWS Cloud Development Kit (AWS CDK) application. The following sections take you through the steps to deploy, test, and observe the example application. With AWS X-Ray, you can trace the entire application, which is useful to identify bottlenecks when load testing.

Testing 93

Testing Metadata Cost-Benefit Management 93

AWS Big Data

MAY 24, 2023

For more information, refer to Retry Amazon S3 requests with EMRFS. To learn more about how to create an EMR cluster with Iceberg and use Amazon EMR Studio, refer to Use an Iceberg cluster with Spark and the Amazon EMR Studio Management Guide , respectively. AIMD is supported for Amazon EMR releases 6.4.0

Data Lake 80

Data Lake Snapshot Metadata Optimization 80

Cloudera

SEPTEMBER 28, 2020

They have dev, test, and production clusters running critical workloads and want to upgrade their clusters to CDP Private Cloud Base. Customer Environment: The customer has three environments: development, test, and production. Test and QA. Test and QA. Let’s take a look at one customer’s upgrade journey. Background: .

Testing 130

Testing Metadata Risk Data Science 130

AWS Big Data

SEPTEMBER 7, 2023

They store attributes such as object size, total time, turn-around time, and HTTP referer for log records. AWS Glue Data Catalog stores information as metadata tables, where each table specifies a single data store. Running the crawler on a schedule updates AWS Glue Data Catalog with new partitions and metadata.

Metadata 96

Metadata Dashboards Metrics Visualization 96

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 84

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 84

AWS Big Data

FEBRUARY 1, 2024

The Common Crawl corpus contains petabytes of data, regularly collected since 2008, and contains raw webpage data, metadata extracts, and text extracts. For instructions, refer to Create your first S3 bucket. For instructions, refer to Get started. For explanations of each field, refer to Common Crawl Index Athena.

Modeling 92

Modeling Metadata Data Processing Unstructured Data 92

datapine

SEPTEMBER 29, 2022

Data quality refers to the assessment of the information you have, relative to its purpose and its ability to serve that purpose. While the digital age has been successful in prompting innovation far and wide, it has also facilitated what is referred to as the “data crisis” – low-quality data. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

AUGUST 21, 2023

This solution uses an AWS Lambda function to extract storage and shard distribution metadata from your OpenSearch Service domain, calculates the level of skew, and then pushes this information to CloudWatch metrics so that you can easily monitor, alert, and respond. In the Code section, choose Test.

Metrics 88

Metrics Testing Strategy Metadata 88

AWS Big Data

OCTOBER 2, 2023

For a deeper exploration on configuring and using streaming ingestion in Amazon Redshift , refer to Real-time analytics with Amazon Redshift streaming ingestion. For more information on using the SUPER data type, refer to Ingesting and querying semistructured data in Amazon Redshift.

Cost-Benefit 82

Cost-Benefit Metadata Structured Data Management 82

AWS Big Data

FEBRUARY 24, 2023

Athena uses the AWS Glue Data Catalog to store and retrieve table metadata for the Amazon S3 data in Iceberg format. When the testing is correct, choose Send data. For this post, we create a Data Catalog database named icebergdemodb containing the metadata information of a table named customer , which will be queried through Athena.

Data Lake 80

Data Lake Metadata Testing Data Warehouse 80