Whether you're trying to onboard new client data or set up new data feeds from all sorts of sources, you need to be fast and efficient.
Join our webinar where we'll take a look at the challenges and best practises for ingesting data into applications and how to make it easier, faster and quite often just even possible.
Join now and learn about:
Challenges around reading data from foreign sources and how to approach automation of such repeated tasks
Data validation challenges and how to set up universal validation scheme
How to bring data mapping into the hands of subject matter experts, instead of developers
How to effectively write data to its destination
TO RESERVE A SPOT, YOU HAVE TO REGISTER HERE: https://hubs.ly/H0rv1mc0 AND NOT JUST ON MEETUP
Организатор: Cloud Computing, AI, Big Data, & Machine Learning
Anyone interested in Cloud Computing, Big Data, AI, Machine Learning and data science & learning from the very top resources in these fields. We will be running a series of virtual events to look at today's top topics on cloud computing, big data, ml, ai, data science, data analytics, data vis, and data integration. There's been a convergence of these techs and we hope to explore how they're all working together to modernize today's systems & workforce.
We'll look at specific case studies on how companies are deploying cloud’s speed, power, and agility to help fulfill the promises of real-time analytics, systems modernization, intelligent supply chains, revamped operating models, cultural change; and transform their operations.
Some areas of interest to cover include Green Cloud Computing; Edge Computing; Cloud Cryptography; Load Balancing; Cloud Analytics; Cloud Scalability; Service Model; Cloud Computing Platforms; Mobile Cloud Computing; Big Data; Cloud Deployment Model; Cloud Security; Data Integration; Data Visualization
