Analytics

Oracle SQL Developer is a powerful tool widely used by data professionals for managing and interacting with Oracle databases. One of the common tasks that data analysts in mid-market companies frequently encounter is the need to export data from Oracle SQL Developer to Excel for further analysis, reporting, or sharing. This blog will provide a detailed, step-by-step guide on how to achieve this, ensuring that every method is covered comprehensively, catering to various user needs and preferences.

Data elements are the fundamental building blocks of EDI documents. They represent individual information within a transaction set, such as city, state, country, item number, quantity, and price. Each data element is defined by its data type, which specifies whether it’s numeric, alphanumeric, a date, or a time. Additionally, the definition includes details like minimum and maximum length requirements and any applicable code values.

A new integration lets you connect your BigQuery data with Anthropic's Claude models on Vertex AI.

I shouldn’t have to convince anyone that Apache Kafka is an incredibly useful and powerful technology. As a distributed event streaming platform, it’s adept at storing your event data and serving it up for downstream consuming applications to make sense of that information––in real time or as close to real time as your use case permits. The real beauty of Kafka as a technology is that it can do it with very little effort on your part. In effect, it’s a black box.

In just 12 short months, the Connect with Confluent (CwC) technology partner program has transformed from a new, ambitious initiative to expand the data streaming ecosystem into a thriving portfolio that’s rapidly increasing the breadth and value of real-time data. The program now provides a portfolio of 50+ integrations, each one amplifying the capabilities of Confluent's unified data streaming platform for Apache Kafka and Apache Flink.

Commercial and open source large language models (LLMs) are evolving rapidly, enabling developers to create innovative generative AI-powered business applications. However, transitioning from prototype to production requires integrating accurate, real-time, domain-specific data tailored to your business needs and deploying at scale with robust security measures.

Implementing a modern, integrated data architecture can help you break down data silos, which cause C-suite decision-makers to lose 12 hours a week. Furthermore, more than 60% of organizations agree that data silos represent a significant business challenge. The solution is a data architecture that eliminates silos, and that’s where the data mesh vs. data fabric debate comes in. While both data architectures work to eliminate data silos, they differ in their approaches (more on that later).

Traffic alone won’t make you sales. You need to understand and direct that traffic down your marketing funnel. But to do that, you need to first know what your traffic comprises of. You need to know who’s coming to you, where they are coming from, what they are doing, and when they are leaving you. A marketing analytics tool helps with just that.

The X12 format is a fundamental part of electronic data interchange (EDI). Businesses rely on digital communication, so using standardized formats like X12 to communicate internally and with your business partners is more important than ever.

An analysis of how Fivetran’s SaaS, hybrid and self-hosted deployment options can power your data movement.