In late 2020, a CEO at an American bank revealed the thinking that’s becoming common in many businesses these days. “We’re a 103-year-old bank,” their CEO told me. “We’re doing everything on spreadsheets. But we are trying to become a highly profitable, digital-first bank that anticipates financial needs and empowers our clients with frictionless experiences. We need to become a data company.”
Enhance your financial analytics with our new Coupa integration.
If you have been looking to switch from Jenkins to Bitrise to speed up your Android CI/CD flow by introducing more automation, this article is for you! Read these hands-on tips by Moataz Nabil for a quick and easy migration.
We’ve been speaking with many auto and equipment finance organizations over the last year, and they all say that their technology landscape is growing more complex by the day. The Auto and Equipment Finance Orchestration solution that Accenture has built with Appian seeks to address this.
From hyperautomation to the remote-work revolution, the post-COVID world is changing at blazing speed and organizations everywhere are struggling to keep up. In the financial services industry, for example, the largest wealth and asset managers are struggling to keep a lid on rising operating costs amid fast-changing regulations and customer expectations.
Java profiling in Eclipse allows you to optimize your code, streamline your application, and better understand your program. When profiling your application using a line-level analysis, you can reveal the slowest line within a sluggish piece of code, helping you efficiently troubleshoot problems. There are a variety of platforms for profiling Java eclipse. Eclipse is a popular software and is especially valuable for beginners due to its clean interface and free and open-source background.
Reporting tools solve a key problem for businesses by enabling them to communicate data in a way that is accessible, easy-to-understand, and useful for both frontline staff and management teams. These tools take raw data and turn it into tables, charts, and graphs ready for consumption, turning complicated data into visuals that better enable users to spot patterns and trends.
Extract, Load, Transform, or ELT, is a process that extracts data from the source, loads it directly into a data warehouse or data lake, and then transforms it to make it available for business intelligence tools. It supports all data types, from raw to structured. ELT is a popular way to ingest large volumes of raw data quickly, but it brings many security concerns with it.
The introduction of CDP Public Cloud has dramatically reduced the time in which you can be up and running with Cloudera’s latest technologies, be it with containerised Data Warehouse, Machine Learning, Operational Database or Data Engineering experiences or the multi-purpose VM-based Data Hub style of deployment.
