AWS Big Data

FEBRUARY 29, 2024

First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses. From here, object metadata (such as file owner, creation date, and confidentiality level) is extracted and queried using Amazon S3 capabilities.

Data Governance 91

Data Governance Unstructured Data Metadata Data Lake 91

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. The gold model joins the technical logs with billing data and organizes the metrics per business unit.

Data Lake 99

Data Lake Management Metrics Data Warehouse 99

AWS Big Data

FEBRUARY 27, 2024

OSI is a fully managed, serverless data collector that delivers real-time log, metric, and trace data to OpenSearch Service domains and OpenSearch Serverless collections. Migration of metadata such as security roles and dashboard objects will be covered in another subsequent post.

Metadata 91

Metadata Data Processing Dashboards IoT 91

DataRobot Blog

SEPTEMBER 1, 2022

This also shows how the models compare on standard performance metrics and informative visualizations like Dual Lift. With DataRobot AI Cloud, you can see predicted values and accuracy for various metrics for the Champion as well as any Challenger models.]. Model Observability with Custom Metrics.

Metrics 145

Metrics Statistics Modeling Data Science 145

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

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

Rocket-Powered Data Science

SEPTEMBER 20, 2021

They realized that the search results would probably not provide an answer to my question, but the results would simply list websites that included my words on the page or in the metadata tags: “Texas”, “Cows”, “How”, etc. The BI team may be focused on KPIs, forecasts, trends, and decision-support insights.

Data Science 285

Data Science Forecasting Business Intelligence Sales 285

Ontotext

MAY 2, 2024

Every new dataset and new user adds a little more friction that hits the core metric of the velocity of data and brings it down to zero. Data-centric approach In the data-centric approach, metadata serves as a layer of interoperability between the data sources. Here we talk about metadata management, catalog of catalogs, and so on.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

AWS Big Data

JULY 27, 2023

We also walk through using PartiQL in Amazon Redshift to unnest nested JSON documents and build fact and dimension tables that are used in your data warehouse refresh. Use a combination of a PartiQL statement and dot notation to unnest the JSON document into data columns of a staging table in Amazon Redshift. calculationRequirements"."M"."dependentIds"."

Data Warehouse 80

Data Warehouse Analytics Metadata Dashboards 80

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. Streaming storage provides reliable storage for streaming data.

Data Lake 86

Data Lake Unstructured Data Management Modeling 86

AWS Big Data

NOVEMBER 6, 2023

To learn more about Setup and Teardown tasks, refer to the Apache Airflow documentation. 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. Set up a new Apache Airflow v2.7.2

Metrics 99

Metrics Metadata Snapshot Management 99

AWS Big Data

JANUARY 10, 2024

The query is run locally on each shard and matched documents are returned to the coordinator node. 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.

Metadata 92

Metadata Broadcasting Data Processing Modeling 92

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. Lexical search In lexical search, the search engine compares the words in the search query to the words in the documents, matching word for word.

Cost-Benefit 88

Cost-Benefit Visualization Modeling Machine Learning 88

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). What was documented under governance apps by this vendor was really a mix of other types.

Metrics 52

Metrics Metadata Modeling Data Quality 52

AWS Big Data

MARCH 7, 2024

ISM policies let you automate these periodic, administrative operations by triggering them based on changes in the index age, index size, or number of documents. For a list of supported metrics, refer to Monitoring pipeline metrics. ISM policies within OpenSearch Service handle index rollovers or deletions.

Data Lake 109

Data Lake Analytics Dashboards Metrics 109

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 92

Modeling Statistics Machine Learning Testing 92

AWS Big Data

JULY 26, 2023

This enables you to process a user’s query to find the closest vectors and combine them with additional metadata without relying on external data sources or additional application code to integrate the results. To create the vector index, you must define the vector field name, dimensions, and the distance metric.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

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. In short, vertical autoscaling sets up VPA to track the container_memory_working_set_bytes metric for the Spark executor pods that have vertical autoscaling enabled.

Metrics 75

Metrics Dashboards Optimization Statistics 75

CIO Business Intelligence

DECEMBER 4, 2023

Once focused solely on reducing search and retrieval times, information lifecycle management (ILM) is now critical to workflow automation, identifying and tracking performance metrics, and harnessing the burgeoning potential of AI. Beyond “records,” organizations can digitally capture anything and apply metadata for context and searchability.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

Octopai

APRIL 8, 2020

In order to comply, banks needed to implement tools making risk reports more accessible using: Automated data discovery functions Documented flow of data through all systems or data lineage capability Visual representation of data movement. In reality, banks have hundreds of metrics to regulate, most coming from distinct systems.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

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. in OpenSearch Service, provides consistency in search pagination even when new documents are ingested or deleted within a specific index.

Snapshot 92

Snapshot Dashboards Visualization Metrics 92

AWS Big Data

OCTOBER 2, 2023

The base construct to access streaming data in Amazon Redshift provides metadata from the source stream (attributes like stream timestamp, sequence numbers, refresh timestamp, and more) and the raw binary data from the stream itself. This approach requires an additional step of schema retrieval and decoding based on context.

Cost-Benefit 82

Cost-Benefit Metadata Structured Data Management 82

Cloudera

FEBRUARY 17, 2022

Before proceeding with the upgrade, review the CDP Private Cloud Base prerequisites as specified in the documentation. Finally we also recommend that you take a full backup of your cluster configurations, metadata, other supporting details, and backend databases. The end-to-end process is relatively straightforward and well documented.

Testing 97

Testing Data Processing Metadata Management 97

Ontotext

JUNE 22, 2023

On top of that, data is sometimes unreliable , and inaccurate or missing metadata makes it hard to decide which information to trust. The confidence score and provenance metrics enable researchers to trace back any decisions and have more confidence to make evidence-driven decisions. Our customer is a U.S.-based

Metrics 52

Metrics Statistics Visualization Metadata 52

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. Download upper and column-to-column lineage to Excel/CSV in order to document, verify development and change requests. We call this feature: Expand. Column-to-column lineage.

OLAP 58

OLAP Metadata Visualization Data Processing 58

Alation

OCTOBER 26, 2021

They enjoy improved governance, which follows from documenting ownership of business terms and formulas. The glossary includes the definition of the metric and can point to the specific table containing the formula from which it is calculated. Finance teams soon realize other key benefits of the Alation Data Catalog.

Finance 52

Finance Data Transformation Enterprise Metrics 52

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. This includes other information such as data quality metrics, processing steps, timing, data test results, and more.

Testing 130

Testing Data Governance Data Quality Data-driven 130

AWS Big Data

JUNE 6, 2023

In the subsequent post, we’ll discuss the latency impact, recommended metrics to monitor, and conclude with guidance on key considerations in a production tiered storage-enabled cluster. KIP-405 proposes a pluggable architecture allowing you to plugin custom remote storage and metadata storage backends.

Metadata 73

Metadata Optimization Management Metrics 73

AWS Big Data

MARCH 7, 2023

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources. Refer to the respective service documentation for further details.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

Octopai

JUNE 1, 2020

Implementing good data mapping practices is an important way modern enterprise organizations use advanced business metrics for strategic insight. Companies must be prepared not only to meet these regulations but also to present documentation of their compliance with the governing bodies in charge of these rules at a moment’s notice.

Metadata 52

Metadata Data Warehouse Data Integration Enterprise 52

Alation

MAY 17, 2022

Those algorithms draw on metadata, or data about the data, that the catalog scrapes from source systems, along with behavioral metadata, which the catalog gathers based on human data usage. Most catalogs use a profile system not unlike an Amazon product page, which aggregates a variety of metadata about a given asset.

Metadata 52

Metadata Data Quality Machine Learning Reporting 52

Octopai

JULY 9, 2020

By adopting automated data lineage and automated metadata tagging, companies have the opportunity to increase their data processing speed. Not only did the banks need to implement these risk-measurement systems (which depend on metrics arriving from distinct data dictionary tools), they also needed to produce reports documenting their use.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

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. Amazon Redshift only supports Delta Symlink tables (see Creating external tables for data managed in Delta Lake for more information).

Data Lake 109

Data Lake Metadata Optimization Statistics 109

AWS Big Data

MARCH 11, 2024

Create a user-facing table in the Redshift cluster and use dot notation to unnest the JSON document from the streaming materialized view into data columns of the table. Make sure that data is flowing into your MSK topic using Amazon CloudWatch metrics (for example, BytesOutPerSec ).

Analytics 65

Analytics Data Warehouse Optimization Metrics 65

DataRobot Blog

MAY 10, 2022

The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States. For a detailed description of all the data quality checks DataRobot performs, please refer to the Data Quality Assessment documentation. To reference SR 11-7: .

Risk 64

Risk Modeling Machine Learning Data Quality 64

Cloudera

MARCH 14, 2023

A critical feature for every developer however is to get instantaneous feedback like configuration validations or performance metrics, as well as previewing data transformations for each step of their data flow. Attributes contain key metadata like the source directory of a file or the source topic of a Kafka message.

Testing 82

Testing Publishing Metadata Interactive 82

AWS Big Data

JULY 25, 2023

In the event of data loss, Alcion customers need to search metadata for the backed-up items (files, emails, contacts, events, and so on) to select specific item versions for restore. Alcion uses Amazon OpenSearch Service to provide their customers with accurate, efficient, and reliable search capability across this backup catalog.

Cost-Benefit 70

Cost-Benefit Modeling Management Optimization 70