Build a modern platform for anti-money laundering 9.19.18

This presentation provides an overview of Cloudera and how a modern platform for Machine Learning and Analytics better enables a data-driven enterprise.

Watch this webinar to understand how Hortonworks DataFlow (HDF) has evolved into the new Cloudera DataFlow (CDF). Learn about key capabilities that CDF delivers such as - -Powerful data ingestion powered by Apache NiFi -Edge data collection by Apache MiNiFi -IoT-scale streaming data processing with Apache Kafka -Enterprise services to offer unified security and governance from edge-to-enterprise

The document outlines the agenda for Cloudera's Enterprise Data Cloud event in Vienna. It includes welcome remarks, keynotes on Cloudera's vision and customer success stories. There will be presentations on the new Cloudera Data Platform and customer case studies, followed by closing remarks. The schedule includes sessions on Cloudera's approach to data warehousing, machine learning, streaming and multi-cloud capabilities.

Cloudera’s Data Science Workbench (CDSW) is available for Hortonworks Data Platform (HDP) clusters for secure, collaborative data science at scale. During this webinar, we provide an introductory tour of CDSW and a demonstration of a machine learning workflow using CDSW on HDP.

Join us to learn about the challenges of legacy data warehousing, the goals of modern data warehousing, and the design patterns and frameworks that help to accelerate modernization efforts.

Webinar on Cloudera Enterprise 6.0 where we will discuss how to build new applications on the modern platform for machine learning and analytics. This webinar will take a look at the latest software enhancements and how they’ll help you improve your productivity and innovate new analytics applications.

Preparing data for analysis and insights is the foundation of any data-driven exercise. Moving workloads to a PaaS, be it data engineering, analytic database, or data science requires a two step leap of faith - in trusting the public cloud, and then your PaaS vendor. In this webinar we will discuss the architecture of a PaaS solution for data management and understand the nitty gritty details of what exactly this involves with the following: An exploration of the architecture of Cloudera Altus PaaS - the industry’s first multi-function, multi-cloud data and analytic platform-as-a-service A dive into use cases and a demo of Altus The synergy between AWS and Altus to help you securely standardize on a combination of public cloud and data management 3 things to learn: An exploration of the architecture of Cloudera Altus PaaS - the industry’s first multi-function, multi-cloud data and analytic platform-as-a-service A dive into use cases and a demo of Altus The synergy between AWS and Altus to help you securely standardize on a combination of public cloud and data management

Explore new trends and use cases in data warehousing including exploration and discovery, self-service ad-hoc analysis, predictive analytics and more ways to get deeper business insight. Modern Data Warehousing Fundamentals will show how to modernize your data warehouse architecture and infrastructure for benefits to both traditional analytics practitioners and data scientists and engineers.

We'll outline approaches for preprocessing, training, inference, and deployment across datasets (time series, audio, video, text, etc.) that leverage Spark, along with its extended ecosystem of libraries and deep learning frameworks using Cloudera's Data Science Workbench.

In this joint webinar, Jason Knuth, data scientist and analytics lead at Komatsu shares how they are analyzing over 17 billion data points every day from connected devices and using machine learning and analytics to improve mining operations.

This presentation provides detail on how we are now in the 6th wave of automation, that is based on Machine Learning. In this 6th wave, Cloudera plays a critical role in providing the data platform for Machine Learning and Analytics built for the Cloud.

In this webinar, Cloudera and AtScale will showcase: How a company can modernize their analytic architecture to deliver flexibility and agility to more end-users. How using AtScale’s Universal Semantic layer can end the data chaos and allow business users to use the data in the modern platform. Highlight the performance of AtScale and Cloudera’s analytic database with newly completed TPC-DS standard benchmarking. Best practices for migrating from legacy appliances.

Machine Learning in the Enterprise 2019. These are the slides for my upcoming demo on integrating Machine Learning and Streaming with Apache NiFi and Cloudera Data Science Workbench. This is for the February 12th, 2019 Future of Data Princeton meetup.

To disrupt and innovate, you need access to data. All of your data. The challenge for many organisations is that the data they need is locked away in a variety of silos. And there's perhaps no bigger silo than one of the most a widely deployed business application: SAP. Bringing together all your data for analytics and machine learning unlocks new insights and business value. Together, Cloudera and Datavard hold the key to breaking SAP data out of its silo, providing access to unlimited and untapped opportunities that currently lay hidden.

The document discusses building multi-disciplinary analytics applications on a shared data platform. It describes challenges with traditional fragmented approaches using multiple data silos and tools. A shared data platform with Cloudera SDX provides a common data experience across workloads through shared metadata, security, and governance services. This approach optimizes key design goals and provides business benefits like increased insights, agility, and decreased costs compared to siloed environments. An example application of predictive maintenance is given to improve fleet performance.

We hope this session was valuable in teaching you more about Cloudera Enterprise on AWS, and how fast and easy it is to deploy a modern data management platform—in your cloud and on your terms.

We hope this session was valuable in teaching you more about Cloudera Enterprise on AWS, and how fast and easy it is to deploy a modern data management platform—in your cloud and on your terms.

The document discusses how data has become a strategic asset for businesses and how a modern data platform can help organizations drive customer insights, improve products and services, lower business risks, and modernize IT. It provides examples of companies using analytics to personalize customer solutions, detect sepsis early to save lives, and protect the global finance system. The document also outlines the evolution of Hadoop platforms and how Cloudera Enterprise provides a common workload pattern to store, process, and analyze data across different workloads and databases in a fast, easy, and secure manner.