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What Is Serverless Data Pipeline? And how Tapdata Empowers Businesses to Build serverless Data Pipelines

As businesses generate more and more data, managing and processing it efficiently has become a top priority. Serverless data pipelines have emerged as a powerful solution to help organizations integrate, process, and transform data at scale, without worrying about managing infrastructure. In this guide, we’ll explore what a serverless data pipeline is, its benefits, and how Tapdata, an advanced ETL tool, can help businesses build and scale serverless data pipelines. What is a Serverless Data Pipeline? A serverless data pipeline is a cloud-based architecture that automates the replication, transformation, and processing of data without requiring the user to manage the underlying infrastructure. In traditional data processing models, teams had to manage and maintain servers, virtual machines, and clusters. With serverless pipelines, the cloud provider handles all infrastructure management, allowing users to focus on building and scaling their data pipelines. Key Characteristics of a Serverless Data Pipeline: Automatic Scaling: Serverless pipelines dynamically scale to meet the demand, so businesses don’t need to manually adjust or manage infrastructure. No Infrastructure Management: You don’t need to manage servers or clusters. Cost Efficiency: The pay-as-you-go model ensures that businesses only pay for the resources they consume, making serverless pipelines ideal for variable workloads. Quick...

Feb 19,2025

Release Notes

TapData Cloud 3.22.0 Release Notes

Bug Fixes Fixed an issue where heartbeat task startup failures prevented data synchronization tasks from starting properly. Fixed a problem where notification settings were not applied after saving. Try the Latest Version of TapData Cloud Now Explore new features and enhance your data synchronization and integration efficiency. Click the links below to get started or learn more: Get Started | View Documentation | Contact Us

Jan 24,2025

Release Notes

TapData Cloud 3.21.0 Release Notes

New Features Enhanced Sybase-to-PostgreSQL synchronization scenario, adding index migration and sequence synchronization features, further improving migration automation and ensuring sequence data consistency. Enhancements Optimized the Oracle connection test feature, adding prompts for mismatched case sensitivity between username and schema to improve user experience. Bug Fixes Fixed the issue where shared data mining tasks initiated by the admin user could not be used properly by other users. Try the Latest Version of TapData Cloud Now Explore new features and enhance your data synchronization and integration efficiency. Click the links below to get started or learn more: Get Started | View Documentation | Contact Us

Jan 15,2025

blog

How to Securely Replicate Data in 2025: Maximize control and data security with Tapdata’s Hybrid Deployment

Tapdata’s New Hybrid Deployment: Run Secure Pipelines Within Your secure Network or vpc at No Extra Cost. For organizations looking to replicate databases securely, Tapdata offers a powerful hybrid deployment model that combines the flexibility of cloud-based management with the security of local data processing. If you want to leverage Tapdata’s cloud platform for seamless data pipeline management but need to keep sensitive data within your private network, Tapdata’s hybrid deployment is the perfect solution. With Tapdata, you can deploy a lightweight local agent to handle data replication while using the cloud-based control plane to manage, monitor, and orchestrate your data pipelines. This approach ensures that sensitive data never leaves your environment, making it ideal for industries with strict regulatory requirements like GDPR, HIPAA, and CCPA. 1. Why Choose Tapdata’s Hybrid Deployment Model? Tapdata’s hybrid deployment model is designed for organizations that want the best of both worlds: the convenience of cloud-based management and the security of on-premises data processing. Here’s why it stands out: Data Stays Local: The Tapdata agent runs within your private network, ensuring that sensitive data never leaves your secure environment. Cloud-Based Manager: Tapdata’s cloud platform provides a unified user-friendly interface for deploying, monitoring, and managing...

Jan 15,2025

blog

6 Reasons Why TapData is a Game-Changer for Data-Driven Teams

In today’s fast-paced world, businesses rely on data to make smart decisions, improve operations, and stay ahead of the competition. However, traditional data integration methods often fail to deliver real-time insights. That’s where TapData comes in—a real-time data integration platform that’s changing the way businesses use data. Here are five reasons why TapData is a game-changer: 1. Real-Time Data Integration for Instant Insights In many industries, waiting for batch-processed data can lead to missed opportunities, slower decision-making, and potential inefficiencies. TapData solves this issue by enabling real-time data synchronization across systems, providing your team with immediate access to the most current and actionable data. How It Works: TapData continuously syncs data in real-time, meaning as soon as data is updated in any source, it’s immediately reflected in your application or dashboard. Whether you’re working with data from a CRM, inventory system, or marketing platform, TapData ensures that you always have the freshest data. Why It Matters: Real-time data allows teams to act quickly in response to changing conditions. For example, in retail or e-commerce, real-time inventory tracking can prevent stockouts or overstocking, improving customer satisfaction. For marketing teams, real-time data means the ability to adjust campaigns on the fly, optimizing...

Jan 10,2025

blog

How to get the data you need to train AI models: A Guide to Success with Tapdata

As a product manager, you might face a big challenge when building AI products: you need data to train your AI models, but you don’t have enough of it. Whether you’re building a completely new product or improving an existing one, you need data to make your AI work. But what happens if you don’t have enough data? Don’t worry—there are several ways to get the data you need, and there are tools available to make the process easier. In this blog, we’ll explain how you can gather data and start building your AI product even if you don’t have everything right away. Why Is Data So Important for AI? To make AI work, you need data. AI models learn from data to make decisions, predictions, and suggestions. Without enough data, the model won’t be able to make accurate predictions, which means your AI product won’t work as well as it should. It’s like trying to drive a car with bad fuel—everything will break down, and you won’t get anywhere. But it’s not just about collecting data once. You need to keep collecting high-quality data to keep your model working well. There are three types of data you need for...

Jan 10,2025

Release Notes

TapData Cloud 3.20.0 Release Notes

Enhancements Added the ability to download log files from the task monitoring page for easier fault diagnosis. Optimized engine startup to eliminate the need for MongoDB configuration during initialization. Expanded error code coverage and provided more detailed solution hints. Bug Fixes Fixed an issue where the system failed to start when configuring SSL connections for MongoDB as an intermediate database. Fixed an issue where data was not updated to the target during incremental synchronization when synchronizing Oracle tables with multi-column composite primary keys to GaussDB (DWS). Fixed an issue where the task incorrectly reported missing table creation privileges after synchronizing some tables to MySQL. Fixed a system error that occurred when viewing the source node list of a data mining task. Fixed an issue where the row count displayed in the real-time data platform’s table details was inconsistent with the actual row count. Try the Latest Version of TapData Cloud Now Explore new features and enhance your data synchronization and integration efficiency. Click the links below to get started or learn more: Get Started | View Documentation | Contact Us

Dec 30,2024

Release Notes

TapData Cloud 3.19.0 Release Notes

Enhancements Optimized and added new engine error codes to help users quickly locate the cause of issues. Bug Fixes Fixed an issue where the system failed to start when configuring SSL connections for MongoDB as an intermediate database. Fixed an issue where data was not updated to the target during incremental synchronization when synchronizing Oracle tables with multi-column composite primary keys to GaussDB (DWS). Fixed an issue where the task incorrectly reported missing table creation privileges after synchronizing some tables to MySQL. Fixed a system error that occurred when viewing the source node list of a data mining task. Fixed an issue where the row count displayed in the real-time data platform’s table details was inconsistent with the actual row count. Try the Latest Version of TapData Cloud Now Explore new features and enhance your data synchronization and integration efficiency. Click the links below to get started or learn more: Get Started | View Documentation | Contact Us

Dec 17,2024