AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

Management 107

Management Metadata Analytics Dashboards 107

Ontotext

APRIL 15, 2020

Knowledge graphs are collections of live, richly interconnected, machine-processable knowledge that use formal semantics and automated reasoning to enable deep analytics. The FHIRCat group at the Mayo Clinic has published the CORD-19-on-FHIR dataset for COVID-19 research. The Mayo Clinic. To Sum It Up.

Publishing 105

Publishing Metadata Data mining Technology 105

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. In a series of follow-up posts, we will review the source code and walkthrough published examples of the Lambda ingestion framework in the AWS Samples GitHub repo.

Publishing 88

Publishing Dashboards Visualization Management 88

AWS Big Data

MAY 7, 2024

As you experience the benefits of consolidating your data governance strategy on top of Amazon DataZone, you may want to extend its coverage to new, diverse data repositories (either self-managed or as managed services) including relational databases, third-party data warehouses, analytic platforms and more.

Metadata 77

Metadata Data Lake Data Processing Data-driven 77

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. It is published by Robert S.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

AWS Big Data

APRIL 17, 2024

Today, customers widely use OpenSearch Service for operational analytics because of its ability to ingest high volumes of data while also providing rich and interactive analytics. As your operational analytics data velocity and volume of data grows, bottlenecks may emerge.

Optimization 115

Optimization Snapshot Metadata Cost-Benefit 115

O'Reilly on Data

FEBRUARY 11, 2020

Just 20% of organizations publish data provenance and data lineage. These include the basics, such as metadata creation and management, data provenance, data lineage, and other essentials. They’re still struggling with the basics: tagging and labeling data, creating (and managing) metadata, managing unstructured data, etc.

Data Quality 299

Data Quality Metadata Data Governance Publishing 299

Alation

MARCH 31, 2023

I’m talking about not just Walt Disney World, but also this year’s Gartner Data & Analytics Summit , which took place last month in Orlando at the landmark resort. The active metadata helix Indeed, automation was on everyone’s minds. It’s the place where dreams come true. We couldn’t agree more.

Data Analytics 52

Data Analytics Analytics Metadata Data Governance 52

AWS Big Data

OCTOBER 4, 2023

Amazon DataZone enables customers to discover, access, share, and govern data at scale across organizational boundaries, reducing the undifferentiated heavy lifting of making data and analytics tools accessible to everyone in the organization. The metadata forms types, and asset types can be used as templates for defining your assets.

Metadata 102

Metadata Data Lake Publishing Data Governance 102

AWS Big Data

MAY 1, 2024

However, Excel is mainly designed for spreadsheets; it’s not designed for large-scale data analytics and automation. Solution overview OneData defines three personas: Publisher – This role includes the organizational and management team of systems that serve as data sources. Promote and expand the use of databases.

Dashboards 113

Dashboards Data-driven Publishing Cost-Benefit 113

AWS Big Data

MARCH 13, 2024

Developers can use the support in Amazon Location Service for publishing device position updates to Amazon EventBridge to build a near-real-time data pipeline that stores locations of tracked assets in Amazon Simple Storage Service (Amazon S3). The ingestion approach is not in scope of this post. Choose Run.

Analytics 97

Analytics IoT Metadata Internet of Things 97

AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. The following diagram is a conceptual analytics data hub reference architecture. This reference architecture partly combines a data hub and data lake to enable comprehensive analytics services.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

Ontotext

JANUARY 10, 2024

Any type of metadata or universal data model is likely to slow down development and increase costs, which will affect the time to market and profit. Click To Tweet The need for a knowledge graph platform At a very high level, a knowledge graph platform has to connect the data into a reusable graph to power deep analytics.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Rocket-Powered Data Science

MARCH 10, 2020

I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. Now, for the first time, the full unabridged (and unedited) version of my initial contribution as the Foreword for the book is published here. Well, the graph analytics algorithm would notice!

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

AWS Big Data

JANUARY 18, 2024

AWS Lake Formation and the AWS Glue Data Catalog form an integral part of a data governance solution for data lakes built on Amazon Simple Storage Service (Amazon S3) with multiple AWS analytics services integrating with them. These are some much sought-after improvements that simplify your metadata discovery using crawlers.

Data Lake 92

Data Lake Metadata Data Governance Statistics 92

Analytics Vidhya

SEPTEMBER 13, 2022

This article was published as a part of the Data Science Blogathon. The post Data Warehouses: Basic Concepts for data enthusiasts appeared first on Analytics Vidhya. Introduction The purpose of a data warehouse is to combine multiple sources to generate different insights that help companies make better decisions and forecasting.

Data Warehouse 313

Data Warehouse Forecasting Big Data Data Science 313

AWS Big Data

APRIL 8, 2024

Amazon DataZone enables you to publish any type of asset in the business data catalog. Prior to this integration, you had to complete the following steps before Amazon DataZone could treat the published Data Catalog table as a managed asset: Identity the Amazon S3 location associated with Data Catalog table.

Finance 79

Finance Sales Publishing Metadata 79

erwin

APRIL 16, 2024

erwin also provides data governance, metadata management and data lineage software called erwin Data Intelligence by Quest. It requires discipline, and information in the form of metadata about those being governed so that remedial action can be taken to hold people to account and ensure policies are being followed.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

Ontotext

MARCH 13, 2024

We envisioned harnessing the power of our products to elevate our entire content publishing process, thereby facilitating in-depth knowledge exploration. Through Ontotext Metadata Studio (OMDS), we then apply semantic content enrichment using text analysis based on our marketing vocabularies.

Marketing 72

Marketing Knowledge Discovery Metadata Data-driven 72

erwin

JUNE 26, 2020

Organizations with particularly deep data stores might need a data catalog with advanced capabilities, such as automated metadata harvesting to speed up the data preparation process. Three Types of Metadata in a Data Catalog. The metadata provides information about the asset that makes it easier to locate, understand and evaluate.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

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. AWS publishes our most up-to-the-minute information on service availability on the Service Health Dashboard.

Strategy 102

Strategy Metadata Metrics Dashboards 102

Ontotext

FEBRUARY 23, 2023

The engines must facilitate the advanced data integration and metadata data management scenarios where an EKG is used for data fabrics or otherwise serves as a data hub between diverse data and content management systems. This era is over! GraphDB officially passed SNB’s Interactive Workload at scale factor 30 (SF30) – a graph of 1.5

Publishing 52

Publishing Metadata Optimization Testing 52

Ontotext

NOVEMBER 12, 2020

These linkages can be embedded either by the author at “publishing” time or later by readers over time. Different technologies approach the tasks differently but here we want to talk about text analytics combined with content enrichment. Taking Text Analytics to the Next Level with Content Enrichment.

Analytics 59

Analytics Publishing Metadata Structured Data 59

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists. Key Design Goals .

Snapshot 107

Snapshot Metadata Cost-Benefit Data Architecture 107

AWS Big Data

JULY 14, 2023

In this post, we discuss how the Amazon Finance Automation team used AWS Lake Formation and the AWS Glue Data Catalog to build a data mesh architecture that simplified data governance at scale and provided seamless data access for analytics, AI, and machine learning (ML) use cases. Challenges Amazon businesses have grown over the years.

Finance 86

Finance Metadata Big Data Recreation/Entertainment 86

Octopai

OCTOBER 26, 2022

DataOps is an approach to best practices for data management that increases the quantity of data analytics products a data team can develop and deploy in a given time while drastically improving the level of data quality. Did you just have a spectacular new idea for a data analytics product? The same goes for data analytics products.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

O'Reilly on Data

JANUARY 29, 2019

In 2017, we published “ How Companies Are Putting AI to Work Through Deep Learning ,” a report based on a survey we ran aiming to help leaders better understand how organizations are applying AI through deep learning. Companies are building or evaluating solutions in foundational technologies needed to sustain success in analytics and AI.

Deep Learning 207

Deep Learning Machine Learning Data Science Metadata 207

DataKitchen

AUGUST 9, 2021

The domain also includes code that acts upon the data, including tools, pipelines, and other artifacts that drive analytics execution. The domain requires a team that creates/updates/runs the domain, and we can’t forget metadata: catalogs, lineage, test results, processing history, etc., …. Figure 5: Domain interfaces as URLs.

Testing 246

Testing Data Lake Metadata Publishing 246

Jet Global

MARCH 14, 2024

Microsoft recently introduced a comprehensive analytics solution for its enterprise customers, Microsoft Fabric. The solution offers data movement, data science, real-time analytics, and business intelligence within a single platform. It enhances analytics capabilities, streamlines migration, and enhances data integration.

Analytics 52

Analytics Management Reporting Enterprise 52

DataKitchen

OCTOBER 11, 2021

Figure 1 shows a manually executed data analytics pipeline. I started by gathering all the analytic “ nuggets ” from all the teams: business rules from the business analyst, the SQL scripts from the data engineer, the Talend job from the ETL developer, and the Tableau report from the BI engineer. Monitoring Job Metadata.

Testing 152

Testing Metadata Dashboards Statistics 152

IBM Big Data Hub

APRIL 27, 2022

A data fabric utilizes continuous analytics over existing, discoverable and inferenced metadata to support the design, deployment and utilization of integrated and reusable datasets across all environments, including hybrid and multicloud platforms.” [1]. This improves data engineering productivity and time-to-value for data consumers.

Management 81

Management Metadata Data Architecture Data Lake 81

AWS Big Data

FEBRUARY 27, 2024

Migration of metadata such as security roles and dashboard objects will be covered in another subsequent post. For index , you can leave it as default, which will get the metadata from the source index and write to the same name in the destination as of the sources. Choose Public to use public access.

Metadata 97

Metadata Data Processing Dashboards IoT 97

AWS Big Data

SEPTEMBER 7, 2023

The solution uses AWS Serverless Analytics services such as AWS Glue to optimize data layout by partitioning and formatting the server access logs to be consumed by other services. AWS Glue Data Catalog stores information as metadata tables, where each table specifies a single data store. Zach Mitchell is a Sr. Big Data Architect.

Metadata 101

Metadata Dashboards Metrics Visualization 101

Alation

JANUARY 9, 2023

Alation joined with Ortecha , a data management consultancy, to publish a white paper providing insights and guidance to stakeholders and decision-makers charged with implementing or modernising data risk management functions. That defining data is called metadata , which is data that describes data.

Risk Management 52

Risk Management Risk Management Metadata 52

AWS Big Data

MARCH 29, 2024

An AWS Glue crawler scans data on the S3 bucket and populates table metadata on the AWS Glue Data Catalog. Publish the QuickSight dashboard When the analysis is ready, complete the following steps to publish the dashboard: Choose PUBLISH. Select Publish new dashboard as , and enter GlueObservabilityDashboard.

Metrics 107

Metrics Visualization Dashboards Interactive 107

Cloudera

OCTOBER 7, 2021

Application Logic: Application logic refers to the type of data processing, and can be anything from analytical or operational systems to data pipelines that ingest data inputs, apply transformations based on some business logic and produce data outputs. Data and Metadata: Data inputs and data outputs produced based on the application logic.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

FineReport

FEBRUARY 5, 2020

Based on the study of the evaluation criteria of Gartner Magic Quadrant for analytics and Business Intelligence Platforms, I have summarized top 10 key features of BI tools for your reference. Metadata management. Analytics dashboards. Embedded advanced analytics. Drill-down map made with FineReport. of BI pages.

Metadata 98

Metadata Dashboards Informatics Visualization 98