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AIOps is Helping Retail & E-Commerce Deliver Superior Customer Experience

GAVS Technology

Industries like retail or e-commerce largely depend on strong customer relationships and constantly work towards improving engagement with their clients. Retail and e-commerce companies are among the most popular businesses that are relying on AIOps platforms. How can retail and e-commerce platforms make use of AIOps?

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Snowflake: Data Ingestion Using Snowpipe and AWS Glue

BizAcuity

In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes.

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Snowflake: Data Ingestion Using Snowpipe and AWS Glue

BizAcuity

Introduction In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. For this reason, Snowflake is often the cloud-native data warehouse of choice.

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EDI vs API: Achieving Data Exchange Excellence through a Unified Approach

Astera

They allow software systems to interact with each other, enabling real-time data exchange and integration. APIs are well-suited for dynamic data exchange and enable organizations to leverage real-time data for quicker and more informed decision-making.

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ETL Batch Processing: A Comprehensive Guide

Astera

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.

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ETL Batch Processing: A Comprehensive Guide

Astera

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.

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What Is Change Data Capture (CDC): Methods, Benefits, and Challenges

Astera

What is Change Data Capture? Change Data Capture (CDC) is a technique used in data management to identify and track changes made to data in a database, and applying those changes to the target system. In such scenarios, data replication is a key strategy to ensure redundant systems have synchronized data.