Tag "data engineering"

Big Data in Banking: Use Cases in 2020 and Beyond

What is the Role of Big Data in Banking? Big data is defined by four main characteristics: volume, velocity, variety, and veracity. The global financial services industry generates massive amounts of structured and unstructured data every day by processing hundreds of billions of financial transactions as well as through interactions such as email, audio and... more

Enhance Customer Experience Using Real-time Motion Insights from IoT and Wi-Fi Data with Datumize and Informatica

Learn how the integration between Datumize Data Collector (DDC) and Informatica  Data Engineering Streaming (DES) allows companies to enjoy valuable and timely insights about movements inside their facilities. This blog is co-authored by Nacho Lafuente, Founder & CEO, Datumize. In recent years, location-based analytics has opened the door to a new competitive intelligence for companies... more

Exploit Perishable Insights with Informatica’s Intelligent Streaming Solution

With the number of connected devices expected to reach 50 billion by 2020[1], there is a huge volume of data that is being generated. These devices are changing lives—and the nature of data. This data provides businesses with nearly real-time access into how its products are being used. Organizations need to identify and act on... more

The Rise of Big Data Engineering in 2020: Cloud, AI & Analytics Success

What is data engineering? Data engineering enables data users across the enterprise with clean, quality data they can trust, so they can drive better business insights and actions. Data engineering is the result of technology disruption in what we used to call big data. Overall, the industry is moving toward data management environments that deliver... more

What’s New With Informatica, AWS, and re:Invent

Seven years ago, Amazon Web Services held the first re:Invent in Las Vegas. I remember it well – I was there as a speaker, talking about the first big data products Informatica had released dealing with hierarchical data processing at scale. I can’t overstate how significantly things have changed since then – for Informatica, for... more

What You Should Know About Serverless

Serverless is a cloud architecture that allows you to be free of managing servers, virtual machines (VMs), or containers. Serverless does not mean there are no servers involved (servers are still used for running applications). It simply means that you do not have to interact with or control the servers involved in the architecture. Serverless... more

Data Preparation for Machine Learning: 5 Critical Steps to Ensure AI Success

You may not agree with me, but sometimes Excel is the best tool for the job! Recently I was chatting with the owner of a small business that’s selling sports bottles and I was surprised to learn that the marketing analyst loaded all the sales and marketing data into Excel to calculate the return on... more