AWS Big Data

APRIL 3, 2024

Many organizations already use AWS Glue Data Quality to define and enforce data quality rules on their data, validate data against predefined rules , track data quality metrics, and monitor data quality over time using artificial intelligence (AI). We use this data source to import metadata information related to our datasets.

Data Quality 88

Data Quality Visualization Metadata Metrics 88

AWS Big Data

JUNE 9, 2023

Iceberg doesn’t optimize file sizes or run automatic table services (for example, compaction or clustering) when writing, so streaming ingestion will create many small data and metadata files. 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

AWS Big Data

NOVEMBER 6, 2023

You can see the time each task spends idling while waiting for the Redshift cluster to be created, snapshotted, and paused. Airflow will cache variables and connections locally so that they can be accessed faster during DAG parsing, without having to fetch them from the secrets backend, environments variables, or metadata database.

Metrics 102

Metrics Metadata Snapshot Management 102

AWS Big Data

NOVEMBER 29, 2023

The gold model joins the technical logs with billing data and organizes the metrics per business unit. The team uses dbt-glue to build a transformed gold model optimized for business intelligence (BI). The gold model uses Iceberg’s ability to support data warehouse-style modeling needed for performant BI analytics in a data lake.

Data Lake 102

Data Lake Management Metrics Data Warehouse 102

AWS Big Data

MAY 10, 2023

Automatic failure detection and recovery All faults get monitored at a minutely granularity, across multiple sub-minutely metrics data points. The cluster manager performs critical coordination tasks like metadata management and cluster formation, and orchestrates a few background operations like snapshot and shard placement.

Snapshot 92

Snapshot Testing Metadata Management 92

AWS Big Data

SEPTEMBER 13, 2023

The File Manager Lambda function consumes those messages, parses the metadata, and inserts the metadata to the DynamoDB table odpf_file_tracker. Current snapshot – This table in the data lake stores latest versioned records (upserts) with the ability to use Hudi time travel for historical updates.

Data Lake 90

Data Lake Data Processing Metadata Snapshot 90

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.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

AWS Big Data

JANUARY 8, 2024

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. Lambda is good for event-based and stateless processing.

Analytics 111

Analytics IoT Data-driven Snapshot 111

Cloudera

MAY 22, 2018

With Experiments, data scientists can run a batch job that will: create a snapshot of model code, dependencies, and configuration parameters necessary to train the model. track model metrics, performance, and any model artifacts the user specifies. save the built model container, along with metadata like who built or deployed it.

Data Science 41

Data Science Snapshot Machine Learning Metadata 41

AWS Big Data

MARCH 3, 2023

Monitoring – EMR Serverless sends metrics to Amazon CloudWatch at the application and job level every 1 minute. You can set up a single-view dashboard in CloudWatch to visualize application-level and job-level metrics using an AWS CloudFormation template provided on the EMR Serverless CloudWatch Dashboard GitHub repository.

Data Lake 80

Data Lake Dashboards Metrics Metadata 80

Sisense

JANUARY 6, 2020

Plus, it unifies Salesforce metrics and definitions into one data model that becomes a single source of truth for your company, meaning there’s no question about the accuracy of data and no conflict between teams about what’s accurate. Daily snapshot of opportunities that’s derived from a table of opportunities’ histories.

Sales 91

Sales Forecasting Snapshot Management 91

Alation

AUGUST 26, 2021

It includes intelligence about data, or metadata. The earliest DI use cases leveraged metadata — EG, popularity rankings reflecting the most used data — to surface assets most useful to others. Again, metadata is key. Data Intelligence and Metadata. Data intelligence is fueled by metadata.

Metadata 64

Metadata Data Governance Dashboards Software 64

DataKitchen

JANUARY 23, 2023

This includes other information such as data quality metrics, processing steps, timing, data test results, and more. Data lineage is often considered static because it is typically based on snapshots of data and metadata taken at a specific time. Data lineage is static and often lags by weeks or months.

Testing 130

Testing Data Governance Data Quality Data-driven 130