Digital transformation has been talked about for many years, but the pandemic has accelerated the digital transformation journeys for many enterprises. Forced to adapt to changes in the business landscape and customer behavior, businesses have adopted more digital tools and technologies to drive innovation and increase resilience.

The digital race is on. To pull ahead of the pack, a company needs to know what to do with its data. Without a data-driven strategy, you’re bound to lose ground to competitors who apply their data to operational improvements, product development, go-to-market strategies, and the customer experience. It isn’t enough to collect, interpret, and act on the data. You have to do it fast.

Cloudera Data platform (CDP) provides a Shared Data Experience (SDX) for centralized data access control and audit in the Enterprise Data Cloud. The Ranger Authorization Service (RAZ) is a new service added to help provide fine-grained access control (FGAC) for cloud storage. We covered the value this new capability provides in a previous blog.

Unless you’ve hidden under a rock for the past decade, you can’t have failed to notice that data in today’s enterprise is very much alive. It’s always moving, constantly changing, and we’re continually using it to create new business value. However, while data fluidity and visibility have blossomed, the opportunity to use that data to drive business actions seems to have withered in comparison.

On the surface, Talend seems like the ultimate data integration platform. It's open-source, maintains multi-cloud integration, supports data governance frameworks like GDPR and CCPA, and handles both ETL and ELT, providing you with more flexibility for data management. Dig a little deeper, though, and you'll notice this platform has an outdated user interface and limited capabilities, and you'll probably need to upgrade to its enterprise version to execute data integration.

BigQuery is a fully-managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and intelligent caching for business intelligence. To help you make the most of BigQuery, we’re offering the following no cost, on-demand training opportunities.

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Where does it stand today? What are its current challenges and opportunities? In a sense, there have been three phases of network analytics: the first was an appliance based monitoring phase; the second was an open-source expansion phase; and the third – that we are in right now – is a hybrid-data-cloud and governance phase. Let’s examine how we got here.

In our modern digital society, data is abundant, and storage is affordable. Businesses, governments and even individuals can (and do) collect every transaction, click, swipe, location, message and attribute in their datasets. With just a few clicks on my smart device, I can review data on every place I’ve been, how much I spent, every step I took, what the weather was like and who I was with. Businesses collect the same abundance of data.

Sometimes I walk through the grocery store and marvel at the way customers float through the aisles, blissfully unaware of the logistical nightmare it probably took to stock the shelves. They have no idea how many people, systems, and modes of transportation it takes to make everything magically appear on their grocery shelves. But I do. As the Senior Director of Software Engineering at KlearNow, I spend my days preserving the bliss of those grocery shoppers.