Help Desk

Web and Video Conferencing

Customer Support

AI Code Generation

Accessibility Testing

Development

Classroom Management

Virtual Classroom

Education

Business Intelligence (BI)

Collaboration

Data Extraction

Emissions Management

Integrated Workplace Management (IWMS)

Intellectual Property (IP) Management

Risk Management

Enterprise

Accounting

Digital Banking

Nonprofit Accounting

Treasury Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

3D Printing

Authorization

Cloud Storage

Configuration Management

Data Collaboration

Fraud Detection

Game Engine

IP Address Management (IPAM)

Integration Platform as a Service (iPaaS)

IoT Security

LAN Switches

License Management

Network Performance Monitoring

Network Security

Open-Source Database

Operating Systems

SOA Governance

Service Desk Outsourcing

Single Sign-On

Vendor Risk Management

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Appointment Scheduling

Audience Intelligence

Content Experience

Content Management

Customer Journey Mapping

Email Marketing

Influencer Marketing

Market Research

Marketing Automation

Social Media Management

Survey & Forms Building

Text to Speech

Video

Video Marketing

Web Analytics

Marketing

Meeting Room Booking

Project Management

Professional Services

Customer Relationship Management (CRM)

Sales Performance Management

Social Commerce

Sales

Virtualization Security

Security

Agriculture

Banking

Donor Management

Equipment Rental

Rental Property Management

Vertical-Specific

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Snowflake

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DataOps.live

Data Collaboration Tools provide a platform for members of an organization to visualize,  access and share data to help meet business objectives. These tools should have automated data lineage and metadata sourcing that allows for bulk uploads, as well as integrations with multiple third-party data sources. Cloud storage and migration are also common, as are automated cataloguing and categorization. Data governance is a crucial security and compliance feature that helps avoid data breaches. Some tools may include machine learning algorithms that use data sets for predictive modeling based on past trends.

<div>DataOps.live, the Data Products company, delivers productivity and governance breakthroughs for data developers and teams through environment automation, pipeline orchestration, continuous testing and unified observability. We bring agile DevOps automation and a powerful unified cloud developer experience (DX) ​to modern cloud data platforms like Snowflake.​ DataOps.live, a global cloud-native company, is used by Global 2000 enterprises including Roche Diagnostics and OneWeb to deliver 1000s of data product releases per month with the speed and governance the business demands.  ​</div><div><br></div><div>For more information, visit <a href="http://www.dataops.live" rel="">www.dataops.live</a> or connect with the team on <a href="https://www.linkedin.com/company/dataopslive/" target="_blank" rel="nofollownoopener">LinkedIn</a> or <a href="https://twitter.com/DataOpslive" target="_blank" rel="nofollownoopener">Twitter</a>.​</div>

OneWeb Case Study - A DataOps.live platform and Snowflake are enabling this pioneering global communications provider to govern every item of data, automate every data pipeline, and create a culture of self-service analytics.

Roche Case Study - The DataOps.live platform is helping data product teams in this global pharmaceutical giant to orchestrate and benefit from next-generation analytics on self-service data and analytics infrastructure consisting of Snowflake and other tools using data mesh approach.

DataOps describes a novel way of development teams working together collaboratively around data to achieve rapid results and improve customer satisfaction. This book is intended for everyone looking to adopt the DataOps philosophy to improve the governance and agility of their data products. The principles in this book should create a shared understanding of the goals and methods of DataOps and #TrueDataOps and create a starting point for collaboration.

What You'll Learn:
10 Reasons to Consider DataOps
Getting Started with DataOps
Understanding the Benefits of DataOps
Discover 7 Pillars of The #TrueDataOps Philosophy

DataOps for Snowflake is a platform for DataOps lifecycle to enable agility and responsiveness, with no compromise on data security & governance.  It provides end to end orchestration, environment management, CICD, automated testing, & ELT.

DataOps for Snowflake - DataOps.live

DataOps for Snowflake is ONE platform for 100% of your DataOps lifecycle to enable agility and responsiveness, with no compromise on data security & governance.  It provides end to end orchestration, environment management, CICD, automated testing, & ELT wrapped in an elegant UI.  Faster development, parallel collaboration, increased efficiencies, reduced costs, data assurance, and simplified orchestration and management.  Business agility and governance without compromise, at the lowest total cost of ownership!!

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