AWS Big Data

MARCH 25, 2024

Another example is an AI-driven observability and monitoring solution where FMs monitor real-time internal metrics of a system and produces alerts. When the model finds an anomaly or abnormal metric value, it should immediately produce an alert and notify the operator. For more information, refer to Dynamic Tables.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

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 90

Data Lake Data Processing Metadata Snapshot 90

AWS Big Data

NOVEMBER 29, 2023

The gold model joins the technical logs with billing data and organizes the metrics per business unit. To learn more, refer to About dbt models. To learn more, refer to Materializations and Incremental models. The team uses dbt-glue to build a transformed gold model optimized for business intelligence (BI). and Viewpoint.

Data Lake 102

Data Lake Management Metrics Data Warehouse 102

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

AWS Big Data

JANUARY 8, 2024

Refer to Amazon Kinesis Data Streams integrations for additional details. Stream Processing – An application created with Amazon Managed Service for Apache Flink can read the records from the data stream to detect and clean any errors in the time series data and enrich the data with specific metadata to optimize operational analytics.

Analytics 111

Analytics IoT Data-driven Snapshot 111

AWS Big Data

MAY 10, 2023

This event is referred to as a zonal failover. However, it’s also possible for multiple shard copies across both active zones to be unavailable in cases of two node failures or one zone plus one node failure (often referred to as double faults ), which poses a risk to availability.

Snapshot 92

Snapshot Testing Metadata Management 92

AWS Big Data

JUNE 9, 2023

Refer to Working with other AWS services in the Lake Formation documentation for an overview of table format support when using Lake Formation with other AWS services. Offers different query types , allowing to prioritize data freshness (Snapshot Query) or read performance (Read Optimized Query).

Data Lake 113

Data Lake Metadata Optimization Statistics 113

DataKitchen

JANUARY 23, 2023

Data lineage vs. the run time operations on data Runtime operations, such as those captured and monitored by DataOps Observability solutions, refer to the actions performed on data while it is being processed. Data lineage refers to tracing data’s origin, history, and movement through various processing, storage, and analysis stages.

Testing 130

Testing Data Governance Data Quality Data-driven 130

AWS Big Data

MARCH 3, 2023

Let’s refer to this S3 bucket as the raw layer. Refer to Submitting EMR Serverless jobs from Airflow for additional details. For additional details on cost, refer to Amazon EMR Serverless cost estimator. Monitoring – EMR Serverless sends metrics to Amazon CloudWatch at the application and job level every 1 minute.

Data Lake 80

Data Lake Dashboards Metrics Metadata 80