erwin

JULY 2, 2020

He added, “We have also linked it to our documentation repository, so we have a description of our data documents.” They have documented 200 business processes in this way. They’re static snapshots of a diagram at some point in time. erwin Evolve users are experiencing numerous benefits. This is live and dynamic.”.

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

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

AWS Big Data

MARCH 25, 2024

The result is made available to the application by querying the latest snapshot. The snapshot constantly updates through stream processing; therefore, the up-to-date data is provided in the context of a user prompt to the model. Amazon S3 provides a trigger to invoke an AWS Lambda function when a new document is stored.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

AWS Big Data

NOVEMBER 16, 2023

Chargeback metadata Amazon Redshift provides different pricing models to cater to different customer needs. Automated backup Amazon Redshift automatically takes incremental snapshots that track changes to the data warehouse since the previous automated snapshot. Automatic WLM manages the resources required to run queries.

Enterprise 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

Cloudera

SEPTEMBER 1, 2020

See the snapshot below. Stores source documents. Solr indexes source documents to make them searchable. HDFS also provides snapshotting, inter-cluster replication, and disaster recovery. . Coordinates distribution of data and metadata, also known as shards. What does DDE entail? More specifically: HDFS.

Snapshot 68

Snapshot Unstructured Data Dashboards Interactive 68

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. To learn more about Setup and Teardown tasks, refer to the Apache Airflow documentation. For a complete list of installed packages and their versions, refer to this MWAA documentation.

Metrics 102

Metrics Metadata Snapshot Management 102

AWS Big Data

NOVEMBER 29, 2023

dbt lets data engineers quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, continuous integration and continuous delivery (CI/CD), and documentation. 11:41:51 Registered adapter: glue=1.7.1 11:41:51 Registered adapter: glue=1.7.1

Data Lake 102

Data Lake Management Metrics Data Warehouse 102

O'Reilly on Data

MARCH 20, 2019

These accurate and interpretable models are easier to document and debug than classic machine learning blackboxes. Model documentation and explanation techniques : Model documentation is a risk-mitigation strategy that has been used for decades in banking. Interpretable, fair, or private models : The techniques now exist (e.g.,

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

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. save the built model container, along with metadata like who built or deployed it. let the user document, test, and share the model.

Data Science 41

Data Science Snapshot Machine Learning Metadata 41

Cloudera

JULY 13, 2022

The service provides simple, easy-to-use, and feature-rich data movement capability to deliver data and metadata where it is needed, and has secure data backup and disaster recovery functionality. In this method, you prepare the data for migration, and then set up the replication plugin to use a snapshot to migrate your data.

Snapshot 88

Snapshot Management Cost-Benefit Metadata 88

Cloudera

NOVEMBER 13, 2020

Metadata Caching. This is used to provide very low latency access to table metadata and file locations in order to avoid making expensive remote RPCs to services like the Hive Metastore (HMS) or the HDFS Name Node, which can be busy with JVM garbage collection or handling requests for other high latency batch workloads. Next Steps.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

Cloudera

MARCH 15, 2023

The record in the “outbox” table contains information about the event that happened inside the application, as well as some metadata that is required for further processing or routing. For more information refer to the Cloudera documentation. The connector generates data change event records and streams them to Kafka topics.

Snapshot 89

Snapshot Data-driven Publishing Optimization 89

Cloudera

MAY 24, 2021

Second, configure a replication process to provide periodic and consistent snapshots of data, metadata, and accompanying governance policies. Once the new cluster is running, the initial data, metadata, and workload migration occurs for an application or tenant. . CDP Upgrade Documentation. Upgrade Advisor Tool.

Metadata 81

Metadata Testing Snapshot Strategy 81

DataKitchen

AUGUST 8, 2023

Data Observability leverages five critical technologies to create a data awareness AI engine: data profiling, active metadata analysis, machine learning, data monitoring, and data lineage. Like an apartment blueprint, Data lineage provides a written document that is only marginally useful during a crisis. Which report tab is wrong?

Data Quality 130

Data Quality Testing Snapshot Reporting 130

DataKitchen

JANUARY 23, 2023

Data testing is an essential aspect of DataOps Observability; it helps to ensure that data is accurate, complete, and consistent with its specifications, documentation, and end-user requirements. Verification is checking that data is accurate, complete, and consistent with its specifications or documentation.

Testing 130

Testing Data Governance Data Quality Data-driven 130