Analytics

What is the Transactional Outbox Pattern? | Designing Event-Driven Microservices

The transactional outbox pattern leverages database transactions to update a microservice's state and an outbox table. Events in the outbox will be sent to an external messaging platform such as Apache Kafka. This technique is used to overcome the dual-write problem which occurs when you have to write data to two separate systems such as a database and Apache Kafka. The database transactions can be used to ensure atomic writes between the two tables. From there, a separate process can consume the outbox and update the external system as required.

CSV Formatting: Tips and Tricks for Data Accuracy

Comma-Separated Values (CSV) files are at the cornerstone of data management. They offer a simplistic yet versatile format to organize and exchange data. CSV files are predominantly used in data analysis, machine learning, and database migrations. Their ability to encapsulate large datasets in a plain-text format makes them instrumental for these use cases.

Tabular Reporting - Do More with Qlik Webinar Replay

This session will demonstrate how Tabular Reporting used within Qlik Sense Applications enables users to efficiently address and manage common operational report creation and distribution requirements. Attendees will discover how report developers can create formatted Excel Templates directly from Qlik data and visualizations. The webinar will also highlight the power of governed Report Tasks, showcasing the seamless distribution and “bursting” of reports to stakeholders. By leveraging Tabular Reporting, the Qlik platform becomes the central source for crucial operational decisions, customer communications, and more.

The Best Data Lake Tools: A Buyer's Guide

A data lake is a main storage repository that can hold vast amounts of raw, unstructured data. A data lake is not the same as a data warehouse, which maintains data in structured files. Five key takeaways about data lake tools: A data warehouse uses a hierarchical structure, whereas the architecture of a data lake is flat.

Health Care Outside of the Box

How enterprise-grade data management creates better and more efficient care. In the last few years, the acceptance of telehealth has become more widespread as patients and providers found they could maintain continuity through phone and video collaboration, instead of in-person visits. In many cases, a level of care that once required a drive to the clinic or hospital could be delivered over a mobile phone or laptop, with no travel and no waiting room.

Accelerate Gen AI Securely With Snowflake Cortex And Snowpark Container Services

Fueled by vast data volumes and powerful computing, AI is revolutionizing work. To capture the value of Generative AI for business, companies need to customize LLMs with their enterprise data. But feeding sensitive data into externally hosted LLMs poses security and exposure risks, and self-hosting LLMs carry a heavy operational burden from maintaining complex environments.

Accelerating Gen AI for Customer Service with Fivetran, Google Cloud, BigQuery and Vertex AI

Learn how Fivetran’s automated data movement platform allows you to accelerate building Gen AI applications for customer service in Google Cloud with BigQuery and Vertex AI. Kelly Kohlleffel steps you through creating four connectors to BigQuery, including a relational database connector plus Jira, Slack, and Zendesk connectors. Then you’ll see how easy it is to quickly build two Gen AI apps, one for search and one for chat, using Vertex AI and the new customer service datasets in BigQuery.