Introducing ChatGPT for SQL queries on Fivetran's HubSpot connector
This feature lets you effortlessly create and customize SQL queries right within our HubSpot documentation.
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Modern Software Development For Today's Systems & Applications
Analytics
Astera Data Governance Walkthrough
Join me as I guide you through: Centralizing your organization’s data securely Enhancing data quality with enrichment tools Deploying projects using Astera Data Pipeline Builder Managing and enriching data assets Creating glossary terms and tags for better data discoverability Generating comprehensive data profiles and automating data quality checks Approving access requests for data assets.
Fivetran and the Fosfor Decision Cloud: Automating AI workflows
Learn how this partnership streamlines AI processes to drive impactful decisions and maximize business outcomes.
Achieve higher performance and lower query cost for BigQuery integer or timestamp lookups
BigQuery numeric search indexes enable optimized lookups on INT64 and TIMESTAMP data types.
Banking on Future Growth: Predictions, Challenges, and Performance for Financial Brands
The COVID-19 pandemic and the resulting economic uncertainty forced businesses to rethink how they approach growth. This especially rang true in the financial services industry, where financial trends have the most direct impact. Curiosity, collaboration, and adaptability all became key to surviving this new climate.
Confluent Welcomes Data to the Thunderdome
The Defense Information Systems Agency (DISA) launched an ambitious program with a name as intimidating as the effort to re-imagine the security architecture of the Department of Defense (DoD). Thunderdome is DISA’s zero trust network access and application security architecture.
How to Set Up a Fully Managed Alerting Pipeline Using Confluent Cloud Audit Logs
In large organizations, Confluent Cloud is often simultaneously accessed by many different users along with business-critical applications, potentially across different lines of business. With so many individual pieces working together, the risk of an individual outage, error, or incident affecting other services increases. An incident could be constituted by a user clicking a wrong button, an application’s misconfiguration, or just a bug—you name it.
3 Ways to Monetize Your Application Data with Embedded Analytics
Data is one of the most valuable commodities an organization has. Every company stores and manages a substantial amount of information. But how do you gain revenue from it? Here, we discuss three ways you can monetize data with an embedded analytics investment.
Improve Product Stickiness and User Adoption with Embedded Analytics
You’ve heard of throwing ideas at a wall until something sticks–as a product manager, you may find you’re doing the same with application features. For application teams, creating sticky applications that customers can rely on and continue using for years to come is key to maximizing revenue. Elements like intuitive interfaces, personalized experiences, seamless integrations, and valuable core functionalities all contribute to this stickiness.
Databricks Mastery: Speed, productivity, and efficiency for Lakehouse
80% of data teams are facing challenges related to availability of tooling. Why? Modern data engineering is difficult and testing data engineering solutions is generally an ad-hoc, manual process. The good news – data teams that use DataOps practices and tools will be 10 times more productive. With this in mind, Unravel is hosting a live event to demonstrate how enhanced visibility and data-driven observability help you streamline your workflow, accelerate your data pipelines on the Databricks Data Intelligence Platform.