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What is Spark Inspector?

Spark provides a unique three-dimensional viewpoint of your application's interface, along with the ability to modify view settings in real-time during execution, which empowers developers to create outstanding applications. For apps that depend on notifications, Spark's notification monitor meticulously tracks every NSNotification as it is sent, offering an exhaustive stack trace, a comprehensive list of recipients, the methods that were called, and other pertinent details. This functionality not only aids in quickly grasping your app's structure but also significantly improves the debugging process. By linking your application with the Spark Inspector, you bring your app's interface into focus, showcasing live updates that reflect your actions. We monitor every change in your app's view hierarchy, ensuring you are always aware of the latest modifications. The visual display of your application in Spark is both visually appealing and highly customizable, allowing you to tweak nearly all elements of your views, from class-level attributes to CALayer transformations. Each time you implement a change, Spark activates a corresponding method in your app to immediately execute that update. This smooth integration enhances the development experience, facilitating quick iterations and improvements, making the entire process more efficient and enjoyable for developers. Ultimately, Spark not only elevates the design aspect but also optimizes the functionality and usability of your applications.

What is Oracle Cloud Infrastructure Data Flow?

Oracle Cloud Infrastructure (OCI) Data Flow is an all-encompassing managed service designed for Apache Spark, allowing users to run processing tasks on vast amounts of data without the hassle of infrastructure deployment or management. By leveraging this service, developers can accelerate application delivery, focusing on app development rather than infrastructure issues. OCI Data Flow takes care of infrastructure provisioning, network configurations, and teardown once Spark jobs are complete, managing storage and security as well to greatly minimize the effort involved in creating and maintaining Spark applications for extensive data analysis. Additionally, with OCI Data Flow, the absence of clusters that need to be installed, patched, or upgraded leads to significant time savings and lower operational costs for various initiatives. Each Spark job utilizes private dedicated resources, eliminating the need for prior capacity planning. This results in organizations being able to adopt a pay-as-you-go pricing model, incurring costs solely for the infrastructure used during Spark job execution. Such a forward-thinking approach not only simplifies processes but also significantly boosts scalability and flexibility for applications driven by data. Ultimately, OCI Data Flow empowers businesses to unlock the full potential of their data processing capabilities while minimizing overhead.

Media

Media

Integrations Supported

Apache Spark
Oracle Cloud Infrastructure
Xcode

Integrations Supported

Apache Spark
Oracle Cloud Infrastructure
Xcode

API Availability

Has API

API Availability

Has API

Pricing Information

$49.99 one-time payment
Free Trial Offered?
Free Version

Pricing Information

$0.0085 per GB per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Spark Inspector

Company Website

sparkinspector.com

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/big-data/data-flow/

Categories and Features

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

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