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 90

Data Lake Unstructured Data Management Modeling 90

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. It facilitates finding information and exploring it visually and enables deeper data analytics based on graph and AI algorithms. 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

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. One federated query gathers AWS Glue metric data from Amazon CloudWatch metrics; the other gathers data from the DynamoDB table where Lambda writes the AWS Glue job metadata it’s collecting.

Metrics 87

Metrics Dashboards Metadata Visualization 87

Octopai

JULY 9, 2020

As a core principle of data management, all BI & Analytics teams engage with data lineage at some point to be able to visualize and understand how the data they process moves around throughout the various systems that make up their data environment. It required banks to develop a data architecture that could support risk-management tools.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

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 72

Analytics Data Warehouse Data Lake Metadata 72

Cloudera

MARCH 14, 2023

Once a draft has been created or opened, developers use the visual Designer to build their data flow logic and validate it using interactive test sessions. Attributes contain key metadata like the source directory of a file or the source topic of a Kafka message.

Testing 87

Testing Publishing Metadata Interactive 87

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

NOVEMBER 16, 2023

Through Amazon Redshift in-memory result set caching and compilation caching, workloads ranging from dashboarding to visualization to business intelligence (BI) that run repeat queries experience a significant performance boost. A predicate consists of a metric, a comparison condition (=, ), and a value.

Enterprise 84

Enterprise Data Warehouse Snapshot Cost-Benefit 84

AWS Big Data

SEPTEMBER 7, 2023

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. Running the crawler on a schedule updates AWS Glue Data Catalog with new partitions and metadata. Save and run the job.

Metadata 99

Metadata Dashboards Metrics Visualization 99

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. in OpenSearch Service).

Snapshot 95

Snapshot Dashboards Visualization Metrics 95

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 79

Metrics Dashboards Optimization Statistics 79

Alation

JULY 19, 2022

Communicate and visualize the results. And even then, information from the data catalog can be transferred to a model connector , allowing data scientists to benefit from curated metadata within those platforms. Communicate and Visualize Results. Get the data. Explore the data. Model the data.

Metadata 59

Metadata Data Quality Statistics Data Science 59

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. Establish connectivity between an Amazon QuickSight dashboard and Amazon Redshift to deliver visualization and insights.

Analytics 65

Analytics Data Warehouse Optimization Metrics 65

Cloudera

AUGUST 16, 2021

Apache Nifi is a powerful tool to build data movement pipelines using a visual flow designer. Instead, there should be a cloud service that allows NiFi users to easily deploy their existing data flows to a scalable runtime with a central monitoring dashboard providing the most relevant metrics for each data flow. and later).

Dashboards 122

Dashboards Metrics KPI Data-driven 122

AWS Big Data

JUNE 19, 2023

OpenSearch Service is a fully managed and scalable log analytics framework that is used by customers to ingest, store, and visualize data. We also walk you through how to use a series of prebuilt visualizations to view events across multiple AWS data sources provided by Security Lake.

Publishing 85

Publishing Dashboards Visualization Management 85

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

IBM Big Data Hub

OCTOBER 12, 2023

Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.)

Cost-Benefit 77

Cost-Benefit Metadata Data Governance Modeling 77

Alation

FEBRUARY 20, 2020

New data visualization user interfaces from Tableau and Qlik proved that any business user can analyze their own data. By interacting with Tableau’s features to re-label data columns and build derived metrics, Tableau users were effectively documenting and modeling data on their own, often without realizing it.

Data Lake 52

Data Lake Metadata Structured Data Big Data 52

AWS Big Data

JANUARY 25, 2023

The refresh interval (the time from when a document is ingested by OpenSearch Serverless to when it is available to search) is currently under 15 seconds. For data older than 24 hours, OpenSearch Serverless only caches metadata and fetches the necessary data blocks from Amazon S3 based on query access.

Management 109

Management Dashboards Metadata Modeling 109

Alation

SEPTEMBER 23, 2021

A data catalog is a centralized storage bank of metadata on information sources from across the enterprise, such as: Datasets. Visualizations. The data catalog also stores metadata (data about data, like a conversation), which gives users context on how to use each asset. What Is a Data Catalog? Business intelligence reports.

Enterprise 52

Enterprise Metadata Data Governance Visualization 52

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 73

Cost-Benefit Modeling Management Optimization 73

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 286

Data Science Forecasting Business Intelligence Sales 286

Alation

FEBRUARY 17, 2023

Reichental describes data governance as the overarching layer that empowers people to manage data well ; as such, it is focused on roles & responsibilities, policies, definitions, metrics, and the lifecycle of the data. First, document your successes of good data, and how it happened. Seeing is believing! I recommend two things.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

erwin

NOVEMBER 6, 2020

Metadata Harvesting and Ingestion : Automatically harvest, transform and feed metadata from virtually any source to any target to activate it within the erwin Data Catalog (erwin DC). Data Cataloging: Catalog and sync metadata with data management and governance artifacts according to business requirements in real time.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

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

O'Reilly on Data

NOVEMBER 7, 2019

Synthetic video is useful for creating and animating Anime characters ; NVidia has used generative adversarial networks (GANs) to create visuals that can be used in video games. In addition to direct fake detection, it should be possible to use metadata to help detect and limit the spread of fakes.

Advertising 150

Advertising Metadata Technology Software 150

Jet Global

MAY 1, 2023

Plus, there is an expectation that tools be visually appealing to boot. In the past, data visualizations were a powerful way to differentiate a software application. Their dashboards were visually stunning. Today, free visualizations seem to be everywhere. Users’ varied needs require a shift in traditional BI thinking.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Domino Data Lab

SEPTEMBER 9, 2019

Next, let’s run a small “document” through the natural language parser: In [2]: text = "The rain in Spain falls mainly on the plain."? First we created a doc from the text, which is a container for a document and all of its annotations. Then we iterated through the document to see what spaCy had parsed.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110