O'Reilly on Data

JULY 28, 2020

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 362

Marketing Experimentation Metrics Testing 362

AWS Big Data

NOVEMBER 6, 2023

Refer to the Configuration reference in the User Guide for detailed configuration values. To learn more about Setup and Teardown tasks, refer to the Apache Airflow documentation. The Cluster Activity page gathers useful data to monitor your cluster’s live and historical metrics. Set up a new Apache Airflow v2.7.2

Metrics 103

Metrics Metadata Snapshot Management 103

Occam's Razor

APRIL 8, 2013

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. That metric is tied to a KPI.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

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). For instructions, refer to Amazon DataZone quickstart with AWS Glue data.

Data Quality 89

Data Quality Visualization Metadata Metrics 89

AWS Big Data

MARCH 7, 2023

Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

AWS Big Data

JULY 27, 2023

As shown in the following reference architecture, DynamoDB table data changes are streamed into Amazon Redshift through Kinesis Data Streams and Amazon Redshift streaming ingestion for near-real-time analytics dashboard visualization using Amazon QuickSight. For instructions, refer to Create a sample Amazon Redshift cluster.

Data Warehouse 84

Data Warehouse Analytics Metadata Dashboards 84

Andrew White

JULY 5, 2023

One of the points of confusion is with catalogs – or data catalogs – or analytics catalogs or metrics stores. These catalogs could be called data catalogs (for data or data sets), or metrics stores (for models and metrics). Stewardship and governance solutions are what we should be referring too, not catalogs.

Metrics 52

Metrics Metadata Modeling Data Quality 52

Rocket-Powered Data Science

JULY 19, 2023

If my explanation above is the correct interpretation of the high percentage, and if the statement refers to successfully deployed applications (i.e., A similarly high percentage of tabular data usage among data scientists was mentioned here.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

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

IBM Big Data Hub

APRIL 13, 2023

Here are some of the key tables: FLIGHT_DECTREE_MODEL: this table contains metadata about the model. Examples of metadata include depth of the tree, strategy for handling missing values, and the number of leaf nodes in the tree. I use these counts to compute a few evaluation metrics for the model. The count is 4981.

Modeling 82

Modeling Statistics Machine Learning Testing 82

AWS Big Data

SEPTEMBER 25, 2023

For additional information, refer to Implementing automatic WLM. For additional information, refer to Tutorial: Configuring manual workload management (WLM) queues. WLM queues from a metadata perspective are defined as service class configuration. The following table lists common service class identifiers for your reference.

Management 95

Management Data Warehouse Metrics Dashboards 95

O'Reilly on Data

MARCH 31, 2020

There may even be someone on your team who built a personalized video recommender before and can help scope and estimate the project requirements using that past experience as a point of reference. You might have millions of short videos , with user ratings and limited metadata about the creators or content.

Management 333

Management Machine Learning Experimentation Metrics 333

AWS Big Data

NOVEMBER 3, 2023

In this post, we explore how to combine AWS Glue usage information and metrics with centralized reporting and visualization using QuickSight. You have metrics available per job run within the AWS Glue console, but they don’t cover all available AWS Glue job metrics, and the visuals aren’t as interactive compared to the QuickSight dashboard.

Metrics 87

Metrics Dashboards Metadata Visualization 87

AWS Big Data

MAY 16, 2024

With the new REST API, you can now invoke DAG runs, manage datasets, or get the status of Airflow’s metadata database, trigger, and scheduler—all without relying on the Airflow web UI or CLI. Refer to Creating an Apache Airflow web login token for more details. The following screenshots show an example of the auto scaling event.

Testing 89

Testing Interactive Metrics Management 89

AWS Big Data

JANUARY 9, 2024

Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. It similarly codes the query as a vector and then uses a distance metric to find nearby vectors in the multi-dimensional space to find matches.

Visualization 92

Visualization Cost-Benefit Modeling Machine Learning 92

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 113

Analytics IoT Data-driven Snapshot 113

AWS Big Data

MAY 2, 2023

If your updates to a dataset triggers multiple subsequent DAGs, then you can use the Airflow metric max_active_tasks_per_dag to control the parallelism of the consumer DAG and reduce the chance of overloading the system. How dynamic task mapping works Let’s see an example using the reference code available in the Airflow documentation.

Testing 101

Testing Experimentation Management Metadata 101

AWS Big Data

NOVEMBER 16, 2023

Data Vault overview For a brief review of the core Data Vault premise and concepts, refer to the first post in this series. For more information, refer to Amazon Redshift database encryption. A predicate consists of a metric, a comparison condition (=, ), and a value. Moreover, Amazon Redshift Serverless is encrypted by default.

Enterprise 84

Enterprise Data Warehouse Snapshot Cost-Benefit 84

Octopai

AUGUST 30, 2020

Manually add objects and or links to represent metadata that wasn’t included in the extraction and document descriptions for user visualization. Microstrategy coverage enhancements: Reports Data sets Metrics Filters Facts Attributes Schemas Dossiers. Collapse irrelevant results allowing users to focus on the task at hand.

OLAP 58

OLAP Metadata Visualization Data Processing 58

DataRobot Blog

MAY 10, 2022

To reference SR 11-7: . Through DataRobot’s AI Catalog , the modeler is able to register datasets that will subsequently be used to build a model and annotate it with the appropriate metadata that describes the datasets’ function, origin, as well as intended use.

Risk 64

Risk Modeling Machine Learning Data Quality 64

AWS Big Data

OCTOBER 11, 2023

Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities. These metrics help agents improve their call handle time and also reallocate agents across organizations to handle pending calls in the queue. We use two datasets in this post.

Management 105

Management Metadata Analytics Dashboards 105

Insight

MARCH 12, 2020

Data Collection The AIgent leverages book synopses and book metadata. To my knowledge, the most extensive repository of synopses and metadata is Goodreads. To collect these genre tags and other metadata, I took advantage of the well-documented Goodreads API. features) and metadata (i.e. 95 F1 scores across genres.

Modeling 59

Modeling Metadata Publishing Sales 59

AWS Big Data

JANUARY 16, 2024

Within Airflow, the metadata database is a core component storing configuration variables, roles, permissions, and DAG run histories. A healthy metadata database is therefore critical for your Airflow environment. The third component is for creating and storing backups of all configurations and metadata that is required to restore.

Strategy 101

Strategy Metadata Metrics Dashboards 101

Octopai

JANUARY 31, 2022

If you’re a mystery lover, I’m sure you’ve read that classic tale: Sherlock Holmes and the Case of the Deceptive Data, and you know how a metadata catalog was a key plot element. Maybe they have different definitions of conversions, which would certainly lead to metrics that don’t match up. Enter the metadata catalog.

Metadata 77

Metadata IT Unstructured Data IoT 77

AWS Big Data

APRIL 2, 2024

Without the right metadata and documentation, data consumers overlook valuable datasets relevant to their use case or spend more time going back and forth with data producers to understand the data and its relevance for their use case—or worse, misuse the data for a purpose it was not intended for.

Metadata 89

Metadata Metrics Data-driven Modeling 89

Ontotext

FEBRUARY 16, 2023

To be able to annotate the specified content consistently and unambiguously, these experts usually follow a set of specific conventions, which are referred to as “annotation guidelines”. You’ll also be able to establish an inter-annotator agreement (IAA) metric. What Are The Benefits Of Using Ontotext Metadata Studio?

Metadata 59

Metadata Measurement Metrics Modeling 59

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 91

Data Lake Data Processing Metadata Snapshot 91

AWS Big Data

OCTOBER 2, 2023

For a deeper exploration on configuring and using streaming ingestion in Amazon Redshift , refer to Real-time analytics with Amazon Redshift streaming ingestion. For more information on using the SUPER data type, refer to Ingesting and querying semistructured data in Amazon Redshift.

Cost-Benefit 86

Cost-Benefit Metadata Structured Data Management 86

DataKitchen

SEPTEMBER 21, 2023

Data in Place refers to the organized structuring and storage of data within a specific storage medium, be it a database, bucket store, files, or other storage platforms. Moreover, advanced metrics like Percentage Regional Sales Growth can provide nuanced insights into business performance. What is Data in Place?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

AWS Big Data

MAY 28, 2024

Amazon Managed Service for Prometheus is deployed automatically, if enabled while installing the Flink operator, and it helps analyze Prometheus metrics emitted for the Flink operator, job, and TaskManager. and higher support using the Data Catalog as a metadata store for streaming and batch SQL workflows.

Data Processing 92

Data Processing Cost-Benefit Metadata Optimization 92

AWS Big Data

MAY 4, 2023

The data, fetched from the Kubernetes Metric Server, feeds into statistical models that VPA constructs in order to build recommendations. For a deep-dive into the functionality, refer to the VPA Github repo. Real-time metric data is fetched from the Kubernetes Metric Server.

Metrics 79

Metrics Dashboards Optimization Statistics 79

AWS Big Data

SEPTEMBER 7, 2023

They store attributes such as object size, total time, turn-around time, and HTTP referer for log records. The AWS Glue Data Catalog is a metastore of the location, schema, and runtime metrics of your data. AWS Glue Data Catalog stores information as metadata tables, where each table specifies a single data store.

Metadata 100

Metadata Dashboards Metrics Visualization 100

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. Refer to Introducing the vector engine for Amazon OpenSearch Serverless, now in preview for more information about the new vector search option with OpenSearch Serverless.

Snapshot 95

Snapshot Dashboards Visualization Metrics 95

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 67

Data Architecture Metadata Data Lake Snapshot 67

Cloudera

JULY 19, 2023

It is a replicated, highly-available service that is responsible for managing the metadata for all objects stored in Ozone. Cisco has multiple reference architectures for running Ozone. The tool reads only the metadata for objects in a cluster with around 100 million keys. The Ozone Manager is a critical component of Ozone.

Management 71

Management Metadata Metrics Optimization 71

AWS Big Data

JANUARY 10, 2024

In an OpenSearch Service cluster, the active and standby zones can be checked at any time using Availability Zone rotation metrics, as shown in the following screenshot. OpenSearch Service utilizes an internal node-to-node communication protocol for replicating write traffic and coordinating metadata updates through an elected leader.

Metadata 96

Metadata Broadcasting Data Processing Modeling 96

AWS Big Data

MARCH 9, 2023

A dimension is a structure that captures reference data along with associated hierarchies, while a fact table captures different values and metrics that can be aggregated by dimensions. The star schema data model allows analytical users to query historical data tying metrics to corresponding dimensional attribute values over time.

Slice and Dice 82

Slice and Dice Data Warehouse Metrics Metadata 82