Systems | Development | Analytics | API | Testing

COVID-19 introduced an unprecedented level of volatility in world markets, and the shockwaves that arrived in its wake exposed a wide chasm between two main types of multinational organizations: Those with agile internal processes and those without. In a world built on complex and globalized supply chains, COVID-19 tested that internal agility, sometimes to breaking point.

In the second blog of the Universal Data Distribution blog series, we explored how Cloudera DataFlow for the Public Cloud (CDF-PC) can help you implement use cases like data lakehouse and data warehouse ingest, cybersecurity, and log optimization, as well as IoT and streaming data collection. A key requirement for these use cases is the ability to not only actively pull data from source systems but to receive data that is being pushed from various sources to the central distribution service.

Data integration plays a foundational role in the progression to data and analytics mastery.

Logs are one of the three key “pillars” of observability, and cloud environments are no exception. You can’t know what’s happening in your cloud without analyzing cloud service logs, which allow you to audit and monitor workflows within your cloud. That said, cloud logging is a unique beast in certain respects.

Our new feature helps you implement Type 2 slowly changing dimensions for your historical database analytics with no coding needed.

The terms embedded analytics and business intelligence (BI) are often used interchangeably. Both help you find key insights from complex datasets. But are they really the same thing? Is there any major difference between embedded analytics software and a business intelligence platform? In this post, you will find all the details.

Every large enterprise organization is attempting to accelerate their digital transformation strategies to engage with their customers in a more personalized, relevant, and dynamic way. The ability to perform analytics on data as it is created and collected (a.k.a. real-time data streams) and generate immediate insights for faster decision making provides a competitive edge for organizations.

Google recently announced that the current Google Analytics 3 (Universal Analytics) will come to an end in July 2023 (now extended until October 2023) and they’ve encouraged all current users to start using the new GA4. Google Analytics 4 is the new version of the current GA reporting portal that current users have used to analyse the performance of their sites.

How are people discovering your Ecommerce business? What factors make a new buyer most likely to become a recurring customer? Why did a best-selling product on your Ecommerce website suddenly plunge in popularity? The answers to these questions and more can be found when you transform Ecommerce data to extract the insights hidden within. Of course, to do so, you’ll need a powerful, robust, and production-ready ETL and data integration platform like Integrate.io.