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What is Spark.work?

Spark.work is an all-encompassing platform that combines Human Resource Management Systems (HRMS) with Strategic Execution, specifically designed for businesses that are looking to expand. By offering transparency and improving operational efficiency in human resources, Spark empowers organizational leaders to effectively align and execute strategies across the entire company. What Spark.work Offers Spark optimizes HR processes while ensuring they are in sync with the broader organizational goals: Employee Management: A unified source for employee data, including leave and attendance tracking, onboarding and offboarding management, document organization, and visual aids like organizational charts. Talent Development: Features an Applicant Tracking System (ATS), tools for conducting performance reviews, channels for gathering employee feedback, and well-structured development pathways. Strategic Alignment: Offers instruments for crafting strategy maps, establishing Objectives and Key Results (OKRs), defining Key Performance Indicators (KPIs), and overseeing initiatives, all interconnected with individuals and teams. AI Support: Employs smart agents to help set KPIs and OKRs, deliver actionable insights, and automate routine tasks, thus allowing more time for strategic pursuits. This multifaceted approach not only bolsters HR functionalities but also plays a pivotal role in driving the overall success and growth of the organization, ensuring that every team member contributes to the shared vision and goals.

What is PySpark?

PySpark acts as the Python interface for Apache Spark, allowing developers to create Spark applications using Python APIs and providing an interactive shell for analyzing data in a distributed environment. Beyond just enabling Python development, PySpark includes a broad spectrum of Spark features, such as Spark SQL, support for DataFrames, capabilities for streaming data, MLlib for machine learning tasks, and the fundamental components of Spark itself. Spark SQL, which is a specialized module within Spark, focuses on the processing of structured data and introduces a programming abstraction called DataFrame, also serving as a distributed SQL query engine. Utilizing Spark's robust architecture, the streaming feature enables the execution of sophisticated analytical and interactive applications that can handle both real-time data and historical datasets, all while benefiting from Spark's user-friendly design and strong fault tolerance. Moreover, PySpark’s seamless integration with these functionalities allows users to perform intricate data operations with greater efficiency across diverse datasets, making it a powerful tool for data professionals. Consequently, this versatility positions PySpark as an essential asset for anyone working in the field of big data analytics.

Media

Media

Integrations Supported

Amazon SageMaker Data Wrangler
Apache Spark
Bravo for Power BI
ChatGPT
Comet LLM
Feast
Fosfor Decision Cloud
Google Chrome
Google Workspace
Microsoft 365
Tecton
Union Pandera

Integrations Supported

Amazon SageMaker Data Wrangler
Apache Spark
Bravo for Power BI
ChatGPT
Comet LLM
Feast
Fosfor Decision Cloud
Google Chrome
Google Workspace
Microsoft 365
Tecton
Union Pandera

API Availability

Has API

API Availability

Has API

Pricing Information

$1.5 month/per user
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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.work

Date Founded

2019

Company Location

Armenia

Company Website

spark.work/

Company Facts

Organization Name

PySpark

Company Website

spark.apache.org/docs/latest/api/python/

Categories and Features

Applicant Tracking

Assessments
Background Screening
Candidate Management
Collaboration Tools
Internal HR
Interview Management
Interview Scheduling
Job Board Posting
Job Requisition
Onboarding
Recruiting Firms
Reference Checking
Resume Parsing
Resume Search
Self Service Portal
Workflow Management

Human Resources

360 Degree Feedback
Applicant Tracking
Attendance Management
Benefits Management
Career Development Planning
Compensation Management
Compliance Management
Employee Database
Employee Lifecycle Management
Onboarding
Payroll Management
Performance Management
Recruiting Management
Self Service Portal
Succession Planning
Time & Attendance Management
Time Off Management
Timesheets
Training Management

Leave Management

Approval Process Control
Calendar Management
Employee Scheduling
FMLA Tracking
Leave & Absence Reporting
Leave Policy Management
Self Service Portal

OKR

Benchmarking
Feedback Management
Goal Management
KPIs
Prioritization
Progress Tracking
Strategic Planning

Onboarding

Course Management
Document Management
E-Verify / I-9 Forms
Electronic Forms
Electronic Signature
Employee Handbook
Employee Portal
File Management
Job Description Management
Orientation Management
Self Service Portal
Task Management
Tax Forms
Training Management

Performance Management

360 Degree Feedback
Compensation Management
Custom Rating Scales
Customizable Templates
Individual Development Plans
On-going Performance Tracking
Peer Appraisals
Review Cycle Tracking
Self Service Portal
Self-Appraisals
Skills Assessments
Weighted Performance Measures

Time Tracking

Automatic Time Capture
Billable & Non-Billable Hours
Billing & Invoicing
Employee Database
Expense Tracking
Mobile Time Tracking
Multiple Billing Rates
Offline Time Tracking
Online Time Tracking
Overtime Calculation
Time per Project Reporting
Timesheet Management
Vacation / Leave Tracking

Categories and Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

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