AWS Big Data

NOVEMBER 19, 2024

These organizations often maintain multiple AWS accounts for development, testing, and production stages, leading to increased complexity and cost. This micro environment is particularly well-suited for development, testing, or small production workloads where resource optimization and cost-efficiency are primary concerns.

Metadata 75

Metadata Cost-Benefit Metrics Optimization 75

AWS Big Data

OCTOBER 18, 2024

Download SAML metadata from Keycloak The configuration of Keycloak is now complete, so you can download the SAML metadata file from Keycloak. The SAML metadata is in XML format and is needed to configure SAML in the OpenSearch Service domain. Identify Provider Metadata under Endpoints. On the General tab, choose SAML 2.0

Metadata 83

Metadata Dashboards Big Data Testing 83

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. To create an S3 bucket, refer to Creating a bucket.

Visualization 90

Visualization Metadata Testing Internet of Things 90

AWS Big Data

NOVEMBER 7, 2024

Amazon Q generative SQL for Amazon Redshift uses generative AI to analyze user intent, query patterns, and schema metadata to identify common SQL query patterns directly within Amazon Redshift, accelerating the query authoring process for users and reducing the time required to derive actionable data insights.

Metadata 89

Metadata Sales Data Warehouse Optimization 89

AWS Big Data

OCTOBER 3, 2023

Iceberg tables store metadata in manifest files. As the number of data files increase, the amount of metadata stored in these manifest files also increases, leading to longer query planning time. The query runtime also increases because it’s proportional to the number of data or metadata file read operations. with Spark 3.3.2,

Optimization 117

Optimization Snapshot Data Lake Metadata 117

AWS Big Data

APRIL 16, 2024

Running Apache Airflow at scale puts proportionally greater load on the Airflow metadata database, sometimes leading to CPU and memory issues on the underlying Amazon Relational Database Service (Amazon RDS) cluster. A resource-starved metadata database may lead to dropped connections from your workers, failing tasks prematurely.

Metadata 104

Metadata Metrics Testing Management 104

O'Reilly on Data

JUNE 14, 2024

At the same time, Miso went about an in-depth chunking and metadata-mapping of every book in the O’Reilly catalog to generate enriched vector snippet embeddings of each work. If the original Answers release was a LLM-driven retrieval engine, today’s new version of Answers is an LLM-driven research engine (in the truest sense).

Metadata 200

Metadata Publishing Modeling Data-driven 200

AWS Big Data

NOVEMBER 13, 2024

The first use case helps predict test results during the car assembly process. In addition, the team aligned on business metadata attributes that would help with data discovery. Business metadata Business metadata helps users understand the context of the data, which can lead to increased trust in the data.

Metadata 75

Metadata Data Quality Digital Transformation Data-driven 75

AWS Big Data

AUGUST 5, 2024

This simplifies the process for data consumers to find datasets, understand their context through shared metadata, and access comprehensive datasets for specific use cases through a single workflow. For example, a marketing analysis data product can bundle various data assets such as marketing campaign data, pipeline data, and customer data.

Metadata 59

Metadata Sales Data Lake Publishing 59

AWS Big Data

NOVEMBER 14, 2024

Cloudformation template to implement the solution architecture For this post, we deliver sample JSON formatted telemetry messages to an API Gateway endpoint test interface to simulate the satellite-powered terminal device functionality. AWS Glue – The AWS Glue Data Catalog is your persistent technical metadata store in the AWS Cloud.

Data Lake 86

Data Lake Metadata Testing Data-driven 86

AWS Big Data

JUNE 17, 2024

Backup and restore architecture The backup and restore strategy involves periodically backing up Amazon MWAA metadata to Amazon Simple Storage Service (Amazon S3) buckets in the primary Region. Refer to the detailed deployment steps in the README file to deploy it in your own accounts. The steps are as follows: [1.a]

Strategy 97

Strategy Metadata Recreation/Entertainment Metrics 97

AWS Big Data

MARCH 22, 2024

Benchmark setup In our testing, we used the 3 TB dataset stored in Amazon S3 in compressed Parquet format and metadata for databases and tables is stored in the AWS Glue Data Catalog. When statistics aren’t available, Amazon EMR and Athena use S3 file metadata to optimize query plans. With Amazon EMR 6.10.0

Metadata 98

Metadata Statistics Broadcasting Optimization 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. 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 110

Management Metadata Analytics Dashboards 110

DataKitchen

OCTOBER 11, 2021

There are no automated tests , so errors frequently pass through the pipeline. There is no process to spin up an isolated dev environment to quickly add a feature, test it with actual data and deploy it to production. The pipeline has automated tests at each step, making sure that each step completes successfully.

Testing 154

Testing Metadata Dashboards Statistics 154

DataKitchen

SEPTEMBER 21, 2023

Data in Place refers to the organized structuring and storage of data within a specific storage medium, be it a database, bucket store, files, or other storage platforms. 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.

Testing 173

Testing Data Quality Predictive Modeling Metrics 173

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 96

Metadata Dashboards Testing Management 96

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 173

Insurance Metadata Data-driven Data Quality 173

AWS Big Data

OCTOBER 31, 2024

Absence of data catalog and metadata management – Data didn’t have any metadata associated with it, and so use cases couldn’t consume the data without further explanation from the data source owners and specialists. In addition, they use generative AI capabilities to generate business metadata.

Digital Transformation 98

Digital Transformation Metadata Manufacturing Data Quality 98

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 132

Data Architecture Data Warehouse Statistics Visualization 132

AWS Big Data

OCTOBER 1, 2024

Performance was tested on a Redshift serverless data warehouse with 128 RPU. In our testing, the dataset was stored in Amazon S3 in Parquet format and AWS Glue Data Catalog was used to manage external databases and tables. This can have a significant impact on overall query performance.

Data Lake 98

Data Lake Statistics Broadcasting Optimization 98

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 96

Testing Optimization Management Metadata 96

AWS Big Data

APRIL 25, 2024

Apache Airflow is an open source tool used to programmatically author, schedule, and monitor sequences of processes and tasks, referred to as workflows. For detailed steps to create an Amazon MWAA environment using the Amazon MWAA console, refer to Introducing Amazon Managed Workflows for Apache Airflow (MWAA). Add the constraints-3.11-updated.txt

Metadata 109

Metadata Data Processing Management Testing 109

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 80

Metadata Testing Data Lake Consulting 80

AWS Big Data

MAY 7, 2024

Figure 1: Flow of actions for self-service analytics around data assets stored in relational databases First, the data producer needs to capture and catalog the technical metadata of the data asset. Second, the data producer needs to consolidate the data asset’s metadata in the business catalog and enrich it with business metadata.

Metadata 81

Metadata Data Lake Data Processing Data-driven 81

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 117

Snapshot Data Lake Metadata Recreation/Entertainment 117

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 121

Data Lake Data Processing Metadata Snapshot 121

AWS Big Data

AUGUST 2, 2024

Zookeeper or KRaft for cluster coordination – Kafka relies on Apache ZooKeeper or KRaft for cluster coordination and metadata management. To learn more about the core components of Amazon MSK tiered storage, refer to Deep dive on Amazon MSK tiered storage. To test it, we created a three-node cluster with the new m7g instance type.

Metrics 105

Metrics Testing Cost-Benefit Management 105

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 112

Cost-Benefit Testing Optimization Strategy 112

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 106

Strategy Metadata Metrics Dashboards 106

AWS Big Data

JUNE 21, 2024

Java 17 as default Java runtime used in Amazon EMR 7.0 – Java 17 was extensively tested and tuned for optimal performance, allowing us to make it the default Java runtime for Amazon EMR 7.0. For more details on EMR Spark performance optimizations, refer to Optimize Spark performance. with the EOY 2022 release (version 6.9) q14b-v2.13,q15-v2.13,q16-v2.13,

Cost-Benefit 100

Cost-Benefit Testing Optimization Statistics 100

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 97

Data Lake Data Processing Metadata Snapshot 97

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 95

Metadata Metrics Data-driven Contextual Data 95

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 Publishing 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

AUGUST 8, 2024

This includes a feature that provides real-time estimation of audience sizes within specific user segments, referred to as the Estimation feature. Additionally, we discuss the thorough testing, monitoring, and rollout process that resulted in a successful transition to the new Athena architecture.

Interactive 112

Interactive Metadata Optimization Testing 112

AWS Big Data

JUNE 10, 2024

Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated. For detailed information on managing your Apache Hive metastore using Lake Formation permissions, refer to Query your Apache Hive metastore with AWS Lake Formation permissions. It is recommended to use test accounts.

Data Lake 90

Data Lake Metadata Data Warehouse Data Processing 90

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 66

Testing Data Processing Metadata Management 66