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. The Cluster Activity page gathers useful data to monitor your cluster’s live and historical metrics. With the introduction of deferrable operators in Apache Airflow 2.2, Doing this manually is complex.

Metrics 103

Metrics Metadata Snapshot Management 103

Insight

OCTOBER 25, 2019

Image credit: [link] As the title suggests, this is a story about a question that may resonate well with many machine learning practitioners trying to build applications in the real world, where clean and annotated data on a specific problem can be sparse— How do we leverage the power of AI when we have very little data?

Snapshot 57

Snapshot Testing Deep Learning Visualization 57

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. build and execute the training run in an isolated container.

Data Science 41

Data Science Snapshot Machine Learning Metadata 41

IBM Big Data Hub

APRIL 8, 2024

  Db2 Warehouse , our cloud-native data warehouse for real-time operational analytics, business intelligence (BI), reporting and machine learning (ML), is also available as a fully managed service on AWS to support customer’s data warehousing needs.  At what level are snapshot-based backups taken?   13.

Snapshot 68

Snapshot Data Warehouse Data Processing Management 68

AWS Big Data

MARCH 11, 2024

Managed Service for Apache Flink manages the underlying infrastructure and Apache Flink components that provide durable application state, metrics, logs, and more. The third cost component is durable application backups, or snapshots. The cost of durable application backup (snapshots) is $0.023 per GB per month.

Management 97

Management Snapshot Metrics Cost-Benefit 97

datapine

NOVEMBER 13, 2019

A procurement report allows an organization to demonstrate how its procurement activities deliver value for money, contribute to the realization of its broader goals and objectives, and provide a panoramic snapshot of the effectiveness of its procurement strategy. Last, but not least: repeat & learn. Group your suppliers.

Reporting 158

Reporting KPI Cost-Benefit Metrics 158

The Unofficial Google Data Science Blog

JULY 17, 2018

Often such decisions are the responsibility of a separate machine learning (ML) system. Alternatively, guidance and insight may be delivered below the executive level to product managers and engineering leads, directing product feature development via metrics and A/B experiments.

Data Science 85

Data Science Snapshot Data Processing Optimization 85

AWS Big Data

JUNE 28, 2023

The data becomes available in Amazon Redshift within seconds, allowing users to use the analytics features of Amazon Redshift and capabilities like data sharing, workload optimization autonomics, concurrency scaling, machine learning, and many more. They would like to get these metrics in near-real time using a zero-ETL integration.

Data Warehouse 85

Data Warehouse Analytics Metrics Dashboards 85

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale. These files are then reconciled with the remaining data during read time.

Data Lake 88

Data Lake Analytics Snapshot Optimization 88

CIO Business Intelligence

JANUARY 20, 2023

The potential use cases for BI extend beyond the typical business performance metrics of improved sales and reduced costs. It uses data mining , data modeling, and machine learning to answer why something happened and predict what might happen in the future.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

AWS Big Data

MARCH 21, 2024

The data becomes available in Amazon Redshift within seconds, allowing you to use the analytics features of Amazon Redshift and capabilities like data sharing, workload optimization autonomics, concurrency scaling, machine learning, and many more. They would like to get these metrics in near real time using a zero-ETL integration.

Data Warehouse 88

Data Warehouse Metrics Statistics Optimization 88

AWS Big Data

FEBRUARY 1, 2023

Furthermore, it created further opportunities for our data scientists and engineers to use AI and machine learning (ML) services to continuously feed and analyze data. Every dataset in our system is uniquely identified by snapshot ID, which we can search from our metadata store. Clients access this data store with an API’s.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

datapine

JANUARY 21, 2020

The balance sheet gives an overview of the main metrics which can easily define trends and the way company assets are being managed. Artificial intelligence and machine-learning algorithms used in those kinds of tools can foresee future values, identify patterns and trends, and automate data alerts. It doesn’t stop here.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

DataKitchen

MAY 10, 2021

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. Best practices include continuous monitoring of machine learning models for degradations in accuracy. . A more observable system enables you to more easily pinpoint the source of an issue.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Cloudera

MAY 13, 2021

Performance metrics appear in charts and graphs. . We compare the current run of a job to a baseline derived from performance metrics. After moving to CDP, take a snapshot to use as a CDP baseline. CM will automatically send the workload metrics directly to your WM account. . WM can help with: . Manual Mode.

Management 73

Management Data Warehouse Interactive Reporting 73

Corinium

APRIL 25, 2019

Life insurance needs accurate data on consumer health, age and other metrics of risk. Machine learning can keep up, by continually looking for trends and anomalies, or predictive analytics, that are interesting for the given use case. And more recently, we have also seen innovation with IOT (Internet Of Things).

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

SEPTEMBER 13, 2023

Use case overview AnyCompany Travel and Hospitality wanted to build a data processing framework to seamlessly ingest and process data coming from operational databases (used by reservation and booking systems) in a data lake before applying machine learning (ML) techniques to provide a personalized experience to its users.

Data Lake 91

Data Lake Data Processing Metadata Snapshot 91

AWS Big Data

MAY 19, 2023

Organizations across all industries have complex data processing requirements for their analytical use cases across different analytics systems, such as data lakes on AWS , data warehouses ( Amazon Redshift ), search ( Amazon OpenSearch Service ), NoSQL ( Amazon DynamoDB ), machine learning ( Amazon SageMaker ), and more.

Machine Learning 83

Machine Learning Metrics Big Data Management 83

Cloudera

SEPTEMBER 17, 2020

DE empowers the data engineer by centralizing all these disparate sources of data — run times, logs, configurations, performance metrics — to provide a single pane of glass and operationalize their data pipeline at scale. For starters it lacks metrics around cpu, memory utilization that are easily correlated across the lifetime of the job.

Visualization 105

Visualization Metrics Statistics Optimization 105

AWS Big Data

JUNE 9, 2023

This data is then projected into analytics services such as data warehouses, search systems, stream processors, query editors, notebooks, and machine learning (ML) models through direct access, real-time, and batch workflows. Snapshot queries on Merge On Read tables have higher query latencies than on Copy On Write tables.

Data Lake 114

Data Lake Metadata Optimization Statistics 114

AWS Big Data

JUNE 10, 2024

This authority extends across realms such as business intelligence, data engineering, and machine learning thus limiting the tools and capabilities that can be used. As exploration continued with Apache Iceberg, some interesting performance metrics were found. SparkActions.get().expireSnapshots(iceTable).expireOlderThan(TimeUnit.DAYS.toMillis(7)).execute()

Data Lake 92

Data Lake Metadata Snapshot Analytics 92

IBM Big Data Hub

MAY 17, 2024

Limited scope for actionable insights Dashboards typically provide high-level summaries or snapshots of data, which are useful for quick status checks but often insufficient for making business decisions. Dashboards are static and require users to come with specific queries or metrics in mind.

Dashboards 78

Dashboards Business Intelligence Snapshot Interactive 78

Alation

AUGUST 26, 2021

For this reason, data intelligence software has increasingly leveraged artificial intelligence and machine learning (AI and ML) to automate curation activities, which deliver trustworthy data to those who need it. Artificial Intelligence and Machine Learning (AI & ML) are forward-looking. What will success look like?

Metadata 64

Metadata Data Governance Dashboards Software 64