Ontotext

FEBRUARY 26, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. Ontotext’s Relation and Event Detector (RED) is designed to assess and analyze the impact of market-moving events. Why do risk and opportunity events matter?

Data-driven 59

Data-driven Risk Modeling Risk Management 59

AWS Big Data

SEPTEMBER 7, 2023

We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights. These logs can track activity, such as data access patterns, lifecycle and management activity, and security events.

Metadata 113

Metadata Dashboards Metrics Visualization 113

DataKitchen

SEPTEMBER 21, 2023

These applications are where the rubber meets the road and often where customers first encounter data quality issues. Problems can manifest in various ways, such as Model Prediction Errors in machine learning applications, empty dashboards in BI tools, or row counts in exported data falling short of expectations.

Testing 173

Testing Data Quality Predictive Modeling Metrics 173

FineReport

MAY 25, 2023

An HR dashboard functions as an advanced analytics tool that utilizes interactive data visualizations to present crucial HR metrics. Similar to various other business departments, human resources is gradually transforming into a data-centric function. What is an HR Dashboard?

Dashboards 52

Dashboards Metrics Key Performance Indicator Cost-Benefit 52

Cloudera

FEBRUARY 10, 2022

With CDF-PC, NiFi users can import their existing data flows into a central catalog from where they can be deployed to a Kubernetes based runtime through a simple flow deployment wizard or with a single CLI command. Solving Common Data Integration Use Cases with CDF-PC on Azure. Processing Streaming Data.

KPI 116

KPI Optimization Data Integration Management 116

CIO Business Intelligence

APRIL 8, 2025

Recognizing and rewarding data-centric achievements reinforces the value placed on analytical ability. Establishing clear accountability ensures data integrity. Implementing Service Level Agreements (SLAs) for data quality and availability sets measurable standards, promoting responsibility and trust in data assets.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

CIO Business Intelligence

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. It’s the foundational architecture and data integration capability for high-value data products. Data and cloud strategy must align.

Data Architecture 111

Data Architecture Data Integration IoT Data-driven 111

AWS Big Data

DECEMBER 20, 2023

AWS Glue is a serverless data integration service that makes it easier to discover, prepare, and combine data for analytics, machine learning (ML), and application development. You can view the logs on the AWS Glue console or the CloudWatch console dashboard. New log events are written into the new log group.

Cost-Benefit 117

Cost-Benefit Optimization Big Data Data Integration 117

DataKitchen

OCTOBER 25, 2022

He thinks he can sell his boss and the CEO on this idea, but his pitch won’t go over well when they still have more than six major data errors every month. It tackles the immediate challenges in your data operations by providing detailed information about what’s going on right now. It’s not just a fear of change.

Testing 130

Testing Data-driven Visualization Dashboards 130

Cloudera

NOVEMBER 2, 2020

Ingest 100s of TB of network event data per day . Updates and deletes to ensure data correctness. Mix of ad hoc exploration, dashboarding, and alert monitoring. The capabilities that more and more customers are asking for are: Analytics on live data AND recent data AND historical data.

Data Warehouse 97

Data Warehouse Dashboards Optimization Interactive 97

AWS Big Data

JANUARY 30, 2025

We used the AWS Step Function state machines to define, orchestrate, and execute our data pipelines. Amazon EventBridge We used Amazon EventBridge, the serverless event bus service, to define the event-based rules and schedules that would trigger our AWS Step Functions state machines.

Data Warehouse 55

Data Warehouse Data Architecture Machine Learning Data Transformation 55

AWS Big Data

NOVEMBER 13, 2023

The upstream data pipeline is a robust system that integrates various data sources, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK) for handling clickstream events, Amazon Relational Database Service (Amazon RDS) for delta transactions, and Amazon DynamoDB for delta game-related information.

Data Warehouse 109

Data Warehouse Analytics Data Lake Data Science 109

AWS Big Data

OCTOBER 11, 2023

The data ingestion process copies the machine-readable files from the hospitals, validates the data, and keeps the validated files available for analysis. Data analysis – In this stage, the files are transformed using AWS Glue and stored in the AWS Glue Data Catalog. On the Datasets page, choose New data set.

Visualization 117

Visualization Dashboards Data-driven Gap analysis 117

AWS Big Data

JULY 29, 2024

This ensures that each change is tracked and reversible, enhancing data governance and auditability. History and versioning : Iceberg’s versioning feature captures every change in table metadata as immutable snapshots, facilitating data integrity, historical views, and rollbacks.

Metadata 125

Metadata Snapshot Data Lake Metrics 125

AWS Big Data

JANUARY 6, 2025

Amazon AppFlow is a fully managed integration service that you can use to securely transfer data from software as a service (SaaS) applications, such as Google BigQuery, Salesforce, SAP, HubSpot, and ServiceNow, to Amazon Web Services (AWS) services such as Amazon Simple Storage Service (Amazon S3) and Amazon Redshift, in just a few clicks.

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

AWS Big Data

SEPTEMBER 11, 2024

The application supports custom workflows to allow demand and supply planning teams to collaborate, plan, source, and fulfill customer orders, then track fulfillment metrics via persona-based operational and management reports and dashboards. To achieve this, Aruba used Amazon S3 Event Notifications. 2 GB into the landing zone daily.

Data Architecture 109

Data Architecture Optimization Data Warehouse Metadata 109

AWS Big Data

JULY 19, 2023

Lastly, we use Amazon QuickSight to gain insights on the modeled data in the form of a QuickSight dashboard. For this solution, we use a sample dataset (normalized) provided by Amazon Redshift for event ticket sales. The following tables show examples of the data for ticket sales and venues.

Modeling 97

Modeling Sales Data Warehouse Snapshot 97

AWS Big Data

NOVEMBER 13, 2023

Visit us at the AWS Analytics Kiosk in the AWS Village at the Expo to discover the AWS Analytics Superhero in you, participate in a playful quiz and AWS book signing events. 11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture. Watch this space for additional details.

Analytics 117

Analytics Data Lake Data Warehouse Data-driven 117

AWS Big Data

AUGUST 3, 2023

Change data capture (CDC) is one of the most common design patterns to capture the changes made in the source database and reflect them to other data stores. a new version of AWS Glue that accelerates data integration workloads in AWS. On the QuickSight dashboard, choose your user name, then choose Manage QuickSight.

Data Lake 98

Data Lake Visualization Dashboards Insurance 98

AWS Big Data

NOVEMBER 29, 2023

Within seconds of data being written into Aurora, you can use Amazon Redshift to do near-real-time analytics and ML on petabytes of data. Amazon Q , our new generative AI assistant, helps you in QuickSight to author dashboards and create compelling visual stories from your dashboard data using natural language.

Data Warehouse 113

Data Warehouse Data Lake Dashboards Data Integration 113

Cloudera

AUGUST 21, 2021

Streaming analytics captures information in the now, and has the ability to access data from inside the business as well as external sources to help businesses stay agile. The bank established the Enterprise Information & Decision Platform (EIDP) as a single source of truth running data integration on the Cloudera platform.

Data-driven 103

Data-driven Digital Transformation Risk Risk Management 103

AWS Big Data

FEBRUARY 26, 2025

This premier event showcased groundbreaking advancements, keynotes from AWS leadership, hands-on technical sessions, and exciting product launches. Analytics remained one of the key focus areas this year, with significant updates and innovations aimed at helping businesses harness their data more efficiently and accelerate insights.

Analytics 61

Analytics Data Lake Metadata Data Warehouse 61

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data processing Raw data is often cluttered with duplicates and irregular formats.

Data Strategy 101

Data Strategy Strategy Data Warehouse Prescriptive Analytics 101

DataKitchen

JUNE 19, 2023

Initially, the infrastructure is unstable, but then we look at our source data and find many problems. Our customers start looking at the data in dashboards and models and then find many issues. Putting the data together with other data sets is another source of errors. Was it on time?

Testing 100

Testing Data Quality Metrics Cost-Benefit 100

AWS Big Data

MARCH 15, 2023

Performance and scalability of both the data pipeline and API endpoint were key success criteria. The data pipeline needed to have sufficient performance to allow for fast turnaround in the event that data issues needed to be corrected. The following diagram illustrates this architecture.

Cost-Benefit 95

Cost-Benefit Data Processing Optimization Data-driven 95

AWS Big Data

MARCH 3, 2023

Additionally, the scale is significant because the multi-tenant data sources provide a continuous stream of testing activity, and our users require quick data refreshes as well as historical context for up to a decade due to compliance and regulatory demands. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

Birst BI

OCTOBER 30, 2018

Remember when you began your career and the prospect of retirement was an event in the distant future? The integration of historical data and predictive analytics is key to operationalizing predictive capabilities in large financial services organizations. Create the reports & dashboards needed to visualize the predictions.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Occam's Razor

APRIL 13, 2015

Having this data integrated into your site analytics behavior data means that you don't have to guess which of these groups/segments are more or less valuable. It has a useful, and dare I say, :), awesome, bundle of my favourite segments (six), dashboards (one, VP), custom reports (nine).

Analytics 156

Analytics Reporting Metrics Slice and Dice 156

AWS Big Data

MAY 16, 2024

Another example is building monitoring dashboards that aggregate the status of your DAGs across multiple Amazon MWAA environments, or invoke workflows in response to events from external systems, such as completed database jobs or new user signups. The following screenshots show an example of the auto scaling event.

Testing 119

Testing Metrics Interactive Management 119

IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. This capability will provide data users with visibility into origin, transformations, and destination of data as it is used to build products. Data integration. Start a trial.

Data-driven 56

Data-driven Enterprise Data Governance Data Science 56

AWS Big Data

APRIL 20, 2023

One of the most common use cases for data preparation on Amazon Redshift is to ingest and transform data from different data stores into an Amazon Redshift data warehouse. AWS Glue provides an extensible architecture that enables users with different data processing use cases, and works well with Amazon Redshift.

Visualization 98

Visualization Data Warehouse Big Data Data Lake 98

IBM Big Data Hub

JUNE 26, 2023

Scenario 3: Break the operational bottleneck caused by Kafka, an open-source data extraction tool. With Event Streams Module of IBM Cloud Pak for Integration, you can simplify the process of highly available data extraction.

Software 61

Software Manufacturing Optimization Dashboards 61

AWS Big Data

FEBRUARY 21, 2023

Loading complex multi-point datasets into a dimensional model, identifying issues, and validating data integrity of the aggregated and merged data points are the biggest challenges that clinical quality management systems face. Data marts are ephemeral views that can be implemented directly on top of the business and raw vaults.

Data Warehouse 94

Data Warehouse Data Lake Cost-Benefit Metadata 94

AWS Big Data

FEBRUARY 22, 2023

The data lake implemented by Ruparupa uses Amazon S3 as the storage platform, AWS Database Migration Service (AWS DMS) as the ingestion tool, AWS Glue as the ETL (extract, transform, and load) tool, and QuickSight for analytic dashboards. This catalog is used by the AWS Glue ETL job, Athena query engine, and QuickSight dashboard.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

AWS Big Data

JUNE 6, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. Hundreds of thousands of customers use data lakes for analytics and ML to make data-driven business decisions.

Data Quality 98

Data Quality Data-driven Data Lake Metrics 98

CIO Business Intelligence

DECEMBER 6, 2023

In today’s automation landscape, actions are typically event-driven. A rchitecture development The primary objective of architectural development in the context of LLM orchestration is to create a scalable, secure, and efficient infrastructure that can seamlessly integrate LLMs into the broader enterprise ecosystem.

Enterprise 92

Enterprise Strategy Modeling Data-driven 92

Ontotext

SEPTEMBER 15, 2020

This multiplicity of data leads to the growth silos, which in turns increases the cost of integration. The purpose of weaving a Data Fabric is to remove the friction and cost from accessing and sharing data in the distributed ICT environment that is the norm.

Metadata 69

Metadata Knowledge Discovery Data Quality Data-driven 69