Data Requirement Demo Real-time Data 
Astera
JUNE 5, 2024
Streaming ETL is a modern approach to extracting, transforming, and loading (ETL) that processes and moves data from source to destination in real-time. It relies on real-time data pipelines that process events as they occur. Events refer to various individual pieces of information within the data stream.
Tableau
SEPTEMBER 12, 2024
We’re excited to share how Tableau Einstein, the new Tableau built on the Salesforce Platform and featuring Agentforce, will help everyone across your organization get proactive, intuitive insights in the flow of work from unified, trusted data. View the demo to see Tableau Einstein in action: What is Tableau Einstein?
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Astera
DECEMBER 7, 2023
Batch processing shines when dealing with massive data volumes, while streaming’s real-time analytics, like in fraud detection, prompt immediate action. Data Processing Order Batch processing lacks sequential processing guarantees, which can potentially alter the output sequence.
Astera
DECEMBER 7, 2023
Batch processing shines when dealing with massive data volumes, while streaming’s real-time analytics, like in fraud detection, prompt immediate action. Data Processing Order Batch processing lacks sequential processing guarantees, which can potentially alter the output sequence.
Astera
AUGUST 15, 2024
Since data pipeline orchestration executes an interconnected chain of events in a specific sequence, it caters to the unique data requirements a pipeline is designed to fulfill. Automate Your Data Tasks with Astera Astera enables you to automate data tasks' execution using its Job Scheduler and Workflows features.
Astera
OCTOBER 19, 2023
An agile tool that can easily adopt various data architecture types and integrate with different providers will increase the efficiency of data workflows and ensure that data-driven insights can be derived from all relevant sources. Adaptability is another important requirement.
Astera
NOVEMBER 1, 2023
Think of a database as a digital filing cabinet that allows users to store, retrieve, and manipulate data efficiently. Databases are optimized for fast read and write operations, which makes them ideal for applications that require real-time data processing and quick access to specific information.
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