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 94

Testing Optimization Management Metadata 94

AWS Big Data

MAY 16, 2024

First, the Airflow REST API support enables programmatic interaction with Airflow resources like connections, Directed Acyclic Graphs (DAGs), DAGRuns, and Task instances. Refer to Creating an Apache Airflow web login token for more details. For the purpose of load testing, we have configured our Amazon MWAA environment with an mw1.small

Testing 91

Testing Interactive Metrics Management 91

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. X Python 3.8 Amazon EMR 6.1

Metadata 82

Metadata Testing Data Lake Consulting 82

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 72

Testing Data Processing Metadata Management 72

AWS Big Data

MAY 24, 2024

Its in-memory computing makes it great for iterative algorithms and interactive queries. For using it with other Apache Spark platforms, the connector is available as a public JAR file that can be directly referred to while submitting a Spark Structured Streaming job. Starting with Amazon EMR 7.1,

Metadata 64

Metadata Interactive Business Objectives Management 64

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 99

Dashboards Analytics Metadata Data Warehouse 99

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 95

Data Lake Data Processing Metadata Snapshot 95

AWS Big Data

AUGUST 15, 2023

Athena provides the connectivity and query interface and can easily be plugged into other AWS services for downstream use cases such as interactive analysis and visualizations. We use the following AWS services in this solution: Amazon Athena – A serverless interactive analytics service. To create the bucket, refer to Create buckets.

Recreation/Entertainment 90

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 90

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. . Interactivity when needed while saving costs.

Testing 96

Testing Cost-Benefit Interactive Visualization 96

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 93

Data Quality Visualization Metadata Metrics 93

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. Set up Athena to run interactive SQL. For instructions, refer to Get started.

Metadata 102

Metadata Modeling Data Processing Unstructured Data 102

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

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

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. or higher Appropriate AWS credentials for interacting with resources in your AWS account. or higher Apache Maven version 3.8.4

Testing 102

Testing Metadata Cost-Benefit Management 102

AWS Big Data

AUGUST 21, 2023

Amazon OpenSearch Service is a managed service that makes it easy to deploy, operate, and scale OpenSearch clusters in AWS to perform interactive log analytics, real-time application monitoring, website search, and more. In the Code section, choose Test. Keep the default values for the test event and run a quick test.

Metrics 93

Metrics Testing Strategy Metadata 93

AWS Big Data

NOVEMBER 29, 2023

In 2022, AWS published a dbt adapter called dbt-glue —the open source, battle-tested dbt AWS Glue adapter that allows data engineers to use dbt for cloud-based data lakes along with data warehouses and databases, paying for just the compute they need. To learn more, refer to About dbt models.

Data Lake 108

Data Lake Management Metrics Data Warehouse 108

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. Athena interacts with the Data Catalog tables in Iceberg format for transactional queries required for GDPR. When the testing is correct, choose Send data. This creates an AWS Glue database for metadata storage.

Data Lake 86

Data Lake Metadata Testing Data Warehouse 86

AWS Big Data

NOVEMBER 17, 2023

Amazon Athena is a serverless, interactive analytics service built on open source frameworks, supporting open table file formats. Starting today, the Athena SQL engine uses a cost-based optimizer (CBO), a new feature that uses table and column statistics stored in the AWS Glue Data Catalog as part of the table’s metadata.

Optimization 117

Optimization Statistics Metadata Data Lake 117

O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Some of the best lessons are captured in Ron Kohavi, Diane Tang, and Ya Xu’s book: Trustworthy Online Controlled Experiments : A Practical Guide to A/B Testing.

Marketing 362

Marketing Experimentation Metrics Testing 362

Cloudera

OCTOBER 15, 2021

With FSO, Apache Ozone guarantees atomic directory operations, and renaming or deleting a directory is a simple metadata operation even if the directory has a large set of sub-paths (directories/files) within it. Please refer to Apache Ozone documentation for more details regarding Apache Ozone’s atomicity guarantees.

Testing 86

Testing Measurement Optimization Metadata 86

AWS Big Data

FEBRUARY 13, 2023

Test environment In order to be confident with the performance of the RA3 nodes, we decided to stress test them in a controlled environment before making the decision to migrate. To do this, we required the following: A reference cluster snapshot – This ensures that we can replay any tests starting from the same state.

Snapshot 69

Snapshot Data Warehouse Testing Analytics 69

Cloudera

OCTOBER 7, 2021

A data mesh can be defined as a collection of “nodes”, typically referred to as Data Products, each of which can be uniquely identified using four key descriptive properties: . Data and Metadata: Data inputs and data outputs produced based on the application logic.

Metadata 122

Metadata Cost-Benefit Enterprise Interactive 122

AWS Big Data

NOVEMBER 16, 2023

Building a starter version of anything can often be straightforward, but building something with enterprise-grade scale, security, resiliency, and performance typically requires knowledge of and adherence to battle-tested best practices, and using the right tools and features in the right scenario.

Enterprise 89

Enterprise Data Warehouse Data Lake Optimization 89

AWS Big Data

MAY 4, 2023

For more information, refer to Guidance for Distributed Computing with Cross Regional Dask on AWS and the GitHub repo for open-source code. After deployment, the user will have access to a Jupyter notebook, where they can interact with two datasets from ASDI on AWS: Coupled Model Intercomparison Project 6 (CMIP6) and ECMWF ERA5 Reanalysis.

Data Processing 99

Data Processing Metadata Informatics Interactive 99

AWS Big Data

JUNE 12, 2023

Refer appendix section for more information on this feature. After the processed data is stored in Amazon S3, we create an AWS Glue crawler to create a Data Catalog table that acts as a metadata layer for the data. Refer to the first stack’s output. Refer to the first stack’s output. Refer to the first stack’s output.

Management 82

Management Metadata Testing Internet of Things 82

AWS Big Data

JUNE 13, 2023

For instructions on installing Keycloak, refer to Keycloak Downloads. Download the SAML metadata file. In the navigation pane under Clients , import the SAML metadata file. Download the Keycloak IdP SAML metadata file from that URL location. Sign in to your Keycloak admin dashboard. Assign a name for this new realm.

Metadata 52

Metadata Dashboards Business Intelligence Management 52

AWS Big Data

NOVEMBER 27, 2023

Performance benchmarks We performed internal benchmark testing for multiple workloads with repetitive scan filters and see that introducing multidimensional data layout sort keys produced the following results: A 74% total runtime reduction compared to having no sort key. You can create a cluster in the US East (Ohio), US East (N.

Cost-Benefit 103

Cost-Benefit Data Warehouse Optimization Testing 103

AWS Big Data

MARCH 30, 2023

services.k8s.aws/v1alpha1 kind: Bucket metadata: name: sparkjob-demo-bucket spec: name: sparkjob-demo-bucket kubectl apply -f ack-yamls/s3.yaml For more information, refer to Event retry policy and using dead-letter queues. stepfunction_role_arn is the ARN of the IAM execution role for the Step Functions state machine. We use the s3.yaml

Data-driven 75

Data-driven Metadata Testing Management 75

AWS Big Data

FEBRUARY 1, 2023

Architecturally, we chose a serverless model, and the data lake architecture action line refers to all the architectural gaps and challenging features we determined were part of the improvements. For more details, refer to Connection Types and Options for ETL in AWS Glue. We also used AWS Lambda for data processing.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Cloudera

AUGUST 24, 2022

Apache Zeppelin is a popular open-source, web-based notebook editor used for interactive data analysis. Finally, we’ll add the image to a CML workspace and test to make sure Apache Zeppelin UI comes up in the session. Click Validate (this checks whether the image is accessible from CML and if metadata is correct). References.

Machine Learning 79

Machine Learning Metadata Testing Data Science 79

AWS Big Data

JUNE 15, 2023

QuickSight is a unified BI service providing modern interactive dashboards, natural language querying, paginated reports, machine learning (ML) insights, and embedded analytics at scale. Just as data is prepared visually using dashboards and reports, it can be readied for language-based interactions using a topic.

Sales 70

Sales Dashboards Visualization Testing 70

AWS Big Data

JULY 26, 2023

Using augmented ML search and generative AI with vector embeddings Organizations across all verticals are rapidly adopting generative AI for its ability to handle vast datasets, generate automated content, and provide interactive, human-like responses.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Ontotext

NOVEMBER 4, 2021

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. Interesting attendee question : Should I model my data, such as start and end date, as metadata with embedded triples or as N-ary concepts?

Metadata 98

Metadata Visualization Modeling Enterprise 98

AWS Big Data

FEBRUARY 6, 2023

When it comes to pipeline health management, each service that your tasks are interacting with could be storing or publishing logs to different locations, such as an S3 bucket or Amazon CloudWatch logs. To run the scripts, refer to the Amazon MWAA analytics workshop. Refer to the GitHub repo for the complete DAG code.

Management 88

Management Interactive Metadata Publishing 88

Cloudera

NOVEMBER 23, 2021

Atlas provides open metadata management and governance capabilities to build a catalog of all assets, and also classify and govern these assets. Using Phoenix, you can create and interact with tables in the form of typical DDL/DML statements using the standard JDBC API, ODBC, Phoenix DB API. References.

Metadata 87

Metadata Data-driven Modeling Big Data 87

AWS Big Data

DECEMBER 12, 2023

Amazon Athena is a serverless, interactive analytics service built on open-source frameworks, supporting open-table and file formats. You can use standard SQL to interact with data. Athena, a serverless and interactive analytics service, makes this possible without the need to manage complex infrastructure.

Data Processing 94

Data Processing Management Statistics Interactive 94

AWS Big Data

NOVEMBER 16, 2023

Building a starter version of anything can often be straightforward, but building something with enterprise-grade scale, security, resiliency, and performance typically requires knowledge and adherence to battle-tested best practices, and using the right tools and features in the right scenario. system implemented with Amazon Redshift.

Enterprise 88

Enterprise Data Warehouse Snapshot Cost-Benefit 88