AWS Big Data

AUGUST 6, 2024

It ingests data from both streaming and batch sources and organizes it into logical tables distributed across multiple nodes in a Pinot cluster, ensuring scalability. Pinot provides functionality similar to other modern big data frameworks, supporting SQL queries, upserts, complex joins, and various indexing options.

OLAP 93

OLAP Analytics Visualization Dashboards 93

AWS Big Data

JANUARY 31, 2023

For additional details on this feature, refer to AWS Lake Formation-managed Redshift datashares (preview) and How Redshift data share can be managed by Lake Formation. Amazon EMR is a managed cluster platform to run big data applications using Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto at scale.

Data Lake 89

Data Lake Data Governance Data Architecture Machine Learning 89

AWS Big Data

FEBRUARY 6, 2023

To run the scripts, refer to the Amazon MWAA analytics workshop. To learn more and get hands-on experience, start with the Amazon MWAA analytics workshop and then use the scripts in the GitHub repo to gain more observability of your DAG run. DAG definitions In this section, we look at snippets of the additions needed to the DAG file.

Management 91

Management Interactive Publishing Metadata 91

AWS Big Data

JUNE 20, 2024

The options available with Kafka are passing the tenant ID either as event metadata (header) or part of the payload itself as an explicit field. Carefully weighing your streaming outcomes and customer needs will help determine the correct trade-offs you can make while making sure your customer data is secure and auditable.

Modeling 103

Modeling Internet of Things Risk Management 103

AWS Big Data

JULY 16, 2024

Priority 2 logs, such as operating system security logs, firewall, identity provider (IdP), email metadata, and AWS CloudTrail , are ingested into Amazon OpenSearch Service to enable the following capabilities. Previously, P2 logs were ingested into the SIEM.

Insurance 123

Insurance Management Cost-Benefit Optimization 123

AWS Big Data

SEPTEMBER 6, 2023

. // It serves as a simple API Gateway to Kafka Proxy, accepting requests and forwarding them to a Kafka topic. withBody("Message successfully pushed to kafka"); } catch (Exception e) { // In case of exception, log the error message and return a 500 status code log.error(e.getMessage(), e); return response.withBody(e.getMessage()).withStatusCode(500);

Testing 110

Testing Metadata Cost-Benefit Internet of Things 110

AWS Big Data

AUGUST 6, 2024

At a high level, the core of Langley’s architecture is based on a set of Amazon Simple Queue Service (Amazon SQS) queues and AWS Lambda functions, and a dedicated RDS database to store ETL job data and metadata. Amazon MWAA offers one-click updates of the infrastructure for minor versions, like moving from Airflow version x.4.z

Cost-Benefit 103

Cost-Benefit Snapshot Metadata Metrics 103

AWS Big Data

MAY 4, 2023

If not, refer to the Setting up Prometheus and Grafana for monitoring the cluster section of the Running batch workloads on Amazon EKS workshop to get them up and running on your cluster. To cleanup your EMR on EKS cluster after trying out the vertical autoscaling feature, refer to the clean-up section of the EMR on EKS workshop.

Metrics 86

Metrics Dashboards Optimization Statistics 86

AWS Big Data

JANUARY 27, 2023

With a unified data catalog, you can quickly search datasets and figure out data schema, data format, and location. The AWS Glue Data Catalog provides a uniform repository where disparate systems can store and find metadata to keep track of data in data silos. Refer to Catalogs for more information.

Data Lake 66

Data Lake Metadata Business Analysis Data-driven 66

AWS Big Data

JANUARY 25, 2023

OpenSearch Serverless caches the most recent log data, typically the first 24 hours, on ephemeral disk. For data older than 24 hours, OpenSearch Serverless only caches metadata and fetches the necessary data blocks from Amazon S3 based on query access. This model also helps pack more data while controlling the costs.

Management 121

Management Dashboards Metadata Analytics 121

IBM Big Data Hub

APRIL 11, 2024

Step 3: For six to eight weeks leading up to the presentation date, offer applied training to the teams on developing these artifacts through workshops on their specific use cases. Bolster development teams by inviting diverse, multidisciplinary teams to join them in these workshops as they assess ethics and model risk.

Risk 74

Risk Consulting Data Processing Publishing 74

Domino Data Lab

JUNE 2, 2019

ans from Nick Elprin, CEO and co-founder of Domino Data Lab, about the importance of model-driven business: “Being data-driven is like navigating by watching the rearview mirror. If your business is using big data and putting dashboards in front of analysts, you’re missing the point.”. I consider that a healthy trend.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

AWS Big Data

AUGUST 23, 2023

SS4O is inspired by both OpenTelemetry and the Elastic Common Schema (ECS) and uses Amazon Elastic Container Service ( Amazon ECS ) event logs and OpenTelemetry (OTel) metadata. You can get started by having hands-on experience with the publicly available workshops for semantic search , microservice observability , and OpenSearch Serverless.

Snapshot 97

Snapshot Dashboards Visualization Metrics 97

Alation

JANUARY 17, 2023

Data ingestion/integration services. Data orchestration tools. These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? What Are the Benefits of a Modern Data Stack?

Data Warehouse 52

Data Warehouse Cost-Benefit Data Science Data Transformation 52

Andrew White

JANUARY 11, 2021

Since much of the work is siloed, there are entire markets focused on, for example, data privacy tools, data security tools, data quality tools and more. We cannot of course forget metadata management tools, of which there are many different. But for them, big data evolved into all data and all formats.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Domino Data Lab

OCTOBER 9, 2019

Paco Nathan’s latest article covers data practices from the National Oceanic and Atmospheric Administration (NOAA) Environment Data Management (EDM) workshop as well as updates from the AI Conference. Data Science meets Climate Science. At the EDM workshop, I gave a keynote about AI adoption in industry.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. That was the origin of big data.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

AWS Big Data

NOVEMBER 13, 2024

Aligning the solution with the data strategy At an early stage of the project, the Volkswagen Autoeuropa and AWS team identified that a data mesh architecture for the data solution aligns with the Volkswagen Autoeuropa’s vision of becoming a data-driven factory.

Metadata 93

Metadata Data Quality Digital Transformation Data-driven 93

AWS Big Data

NOVEMBER 6, 2024

To learn more about how to process Firehose records using Lambda, see Transform source data in Amazon Data Firehose. After executing your Lambda function, Firehose looks for routing information and operations in the metadata fields (in the following format) provided by your Lambda function. b64decode(record['data']).decode('utf-8')

Metadata 108

Metadata Data Lake Management Internet of Things 108

AWS Big Data

FEBRUARY 18, 2025

When Firehose delivers data to the S3 table, it uses the AWS Glue Data Catalog to store and manage table metadata. This metadata includes schema information, partition details, and file locations, enabling seamless data discovery and querying across AWS analytics services.

Snapshot 76

Snapshot Optimization Data Lake Metadata 76