Systems | Development | Analytics | API | Testing

Don’t have enough time to track restaurant KPIs? This article will show you the most time-efficient approach to staying on top of your business.

Organizations rely on data to drive their decision-making. But with so many different sources generating vast amounts of data, it’s virtually impossible to manually compile and cleanse it all. This is why ETL (extract, transform, load) tools have become critical for data-driven organizations, as they facilitate the data integration process by consolidating data from various sources into a single, unified format.

Within the Idera group, many of the brands and products complement each other. Two such market-leading brands are Yellowfin and WhereScape. But, how do multiple tools help deliver even more significant value, and should you look at separate solutions or a combined solution from a single vendor? WhereScape specializes in data integration and automation; it can streamline the data processing pipeline, reducing complexity and potential bottlenecks, i.e.

BigQuery Omni lets you do data analytics on data, including geospatial data, stored across public cloud environments.

Discover how organizations can harness the full potential of AI through a modern data stack, as we dive into the insights from our recent joint webinar with Microsoft.

How to identify and resolve conflicting incentives and priorities over data governance.

Clearly environmental health and high performance are dependent on the proper implementation, tuning, and use of CDP, hardware, and microservices. Ideally you have Visibility and Transparency into existing high priority problems in your environment. The links below will carry you to regions within the Cloudera Community where you will find best practices to properly implement and tune hardware and services.

“Data is knowledge, knowledge is power, and bad data equals bad decisions,” says Appian Senior Solutions Consultant Ben Crawley. We’ve all felt the sting of poorly integrated solutions, hard-to-access information, and sometimes, inaccurate data. This “bad data” is often the result of information that’s spread across different systems, creating data accuracy challenges and preventing you from having a single source of truth for your organization's information.