Systems | Development | Analytics | API | Testing

React and Respond in the Business Moment With Qlik Application Automation

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.

Top 7 Talend Alternatives and Competitors

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 Dig a little deeper, though, and you'll notice this platform has an outdated user interface and limited capabilities, and you'll probably need to upgrade to its enterprise version to execute data integration.

Build your data analytics skills with the latest no cost BigQuery trainings

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.

Telecom Network Analytics: Transformation, Innovation, Automation

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.

Terabytes of Data but Still No Good Insights?

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.

How Klearnow went from sleepless nights to a booming data business with ThoughtSpot

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.

How to Make Your Data Ethical with Jack Berkowitz at ADP | Rise Of The Data Cloud

Ever wonder how companies like ADP handle all of the data that they are responsible for? In this episode of Rise Of The Data Cloud, Jack Berkowitz, Chief Data Officer at ADP, talks about the importance of keeping your product simple, data sharing, applying ethics to algorithms, and much more.

What's New in CDP Public Cloud? Hive and Impala Get a Facelift

Join us LIVE to discuss what’s new in CDP Public Cloud! Don’t miss the live Q&A as we learn about the new capabilities in Cloudera Data Warehouse. See how the Impala and Hive engines get a facelift. Also watch a demo of how you can run advanced analytics at scale using few easy steps

ThoughtSpot SpotApp for Snowflake Performance and Consumption Analytics

This SpotApp will have you up and running in minutes with search and AI-driven analytics from ThoughtSpot around your Snowflake Data Cloud performance and consumption. The SpotApp enables financial controllers to drill into credit consumption trends to proactively manage their cloud spend. And IT Ops teams will be able to dive into granular details about query performance to ensure that their data clouds are running at full speed.

Speed Up Your Data Flow for Business Results

A slow car has never won a Formula One race. The Olympics doesn’t reward slow times in swimming, track or any other clock-timed sport. Likewise, slow data speeds don’t win over customers or colleagues in the real-time business world. Microsoft’s own research once reported that a person visiting a website on a connected device is likely to wait no more than 10 seconds to see it before moving to a competitor’s site.