AWS Big Data

AUGUST 23, 2023

The vector engine uses approximate nearest neighbor (ANN) algorithms from the Non-Metric Space Library (NMSLIB) and FAISS libraries to power k-NN search. 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.

Snapshot 97

Snapshot Dashboards Visualization Metrics 97

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

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 125

Data Lake Metadata Statistics Optimization 125

AWS Big Data

JULY 20, 2023

Expiring old snapshots – This operation provides a way to remove outdated snapshots and their associated data files, enabling Orca to maintain low storage costs. Metadata tables offer insights into the physical data storage layout of the tables and offer the convenience of querying them with Athena version 3.

Data Lake 93

Data Lake Analytics Snapshot Data Quality 93

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 natively provides Airflow environment metrics and Amazon MWAA infrastructure-related metrics.

Cost-Benefit 103

Cost-Benefit Metadata Snapshot Metrics 103

AWS Big Data

JANUARY 24, 2023

This solution only replicates metadata in the Data Catalog, not the actual underlying data. Lake Formation permissions In Lake Formation, there are two types of permissions: metadata access and data access. Metadata access permissions allow users to create, read, update, and delete metadata databases and tables in the Data Catalog.

Data Architecture 72

Data Architecture Metadata Data Lake Snapshot 72

AWS Big Data

NOVEMBER 16, 2023

Redshift provisioned clusters also support query monitoring rules to define metrics-based performance boundaries for workload management queues and the action that should be taken when a query goes beyond those boundaries. A predicate consists of a metric, a comparison condition (=, ), and a value.

Enterprise 96

Enterprise Data Warehouse Snapshot Cost-Benefit 96

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 116

Metrics Metadata Snapshot Management 116

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 116

Data Lake Management Metrics Data Warehouse 116

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 107

Snapshot Testing Metadata Management 107

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 103

Data Lake Data Processing Metadata Snapshot 103

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 103

Data Quality Visualization Metadata Metrics 103

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 123

Analytics IoT Data-driven Snapshot 123

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

AWS Big Data

FEBRUARY 1, 2023

To further optimize and improve the developer velocity for our data consumers, we added Amazon DynamoDB as a metadata store for different data sources landing in the data lake. We used the same AWS Glue jobs to further transform and load the data into the required S3 bucket and a portion of extracted metadata into DynamoDB.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

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 104

Data Lake Unstructured Data Management Snapshot 104

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 Data Warehouse 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 90

Data Lake Dashboards Metrics Metadata 90

CIO Business Intelligence

MARCH 5, 2025

Decision Audit Trail a comprehensive logging strategy that records key data points (inputs, outputs, model version, explanation metadata, etc.) Model Registry and Versioning centralized repository that tracks all models, including versions, training data snapshots, hyperparameters, performance metrics and deployment status.

Risk 121

Risk Risk Management Measurement Modeling 121

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. On the Logging and metrics tab, choose Enable.

Snapshot 76

Snapshot Optimization Data Lake Metadata 76

AWS Big Data

DECEMBER 19, 2024

By using features like Icebergs compaction, OTFs streamline maintenance, making it straightforward to manage object and metadata versioning at scale. Enabling automatic compaction on Iceberg tables reduces metadata overhead on your Iceberg tables and improves query performance. The Data Catalog manages the metadata for the datasets.

Data Lake 91

Data Lake IoT Metadata Testing 91

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