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High Praise for Hitachi Content Platform

Data is the fuel for today’s modern economy – it drives everything from large-scale manufacturing, financial services, energy and transportation to healthcare, media and entertainment and everything in between. This new philosophy of data-centricity has evolved the way organizations think about their IT environments, infrastructure, applications, solutions and even cloud providers.

Fix the broken promise of Customer 360 initiatives

Investment in Customer 360 is supposed to lead to truly transformative results, from marketing and sales efficiency to product innovation. Too often, the reality isn’t delivering on that promise. Despite significant and increasing spend on Customer 360 initiatives, 93% of consumers still receive irrelevant marketing communications. 66% of customers are unhappy with their experiences. The promise of customer 360 has failed because of unhealthy data — data that's inaccurate, hard to access, and difficult to transform.

The future of data architecture is hybrid: choosing your hybrid-first data strategy starts at Cloudera Now 2022

With all of the buzz around cloud computing, many companies have overlooked the importance of hybrid data. Many large enterprises went all-in on cloud without considering the costs and potential risks associated with a cloud-only approach. The truth is, the future of data architecture is all about hybrid.

An Introduction to Disaster Recovery with the Cloudera Data Platform

The previous decade has seen explosive growth in the integration of data and data-driven insight into a company’s ability to operate effectively, yielding an ever-growing competitive advantage to those that do it well. Our customers have become accustomed to the speed of decision making that comes from that insight. Data is integral for both long-term strategy and day-to-day, or even minute-to-minute operation.

Reach - Becoming a Data-Driven Financial Technology Company with Snowflake

Reach is the premier partner for online businesses that want to connect with consumers around the world, expand their business, and increase global sales. Using their unique Merchant of Record model, Reach helps retailers process global payment transactions wherever a retailer’s customer is based. Learn how Reach is able to consolidate various data tools and technologies into one with the Snowflake Data Cloud, while increasing their velocity of data acquisition with data sharing.

How to Use Apache Iceberg in CDP's Open Lakehouse

In June 2022, Cloudera announced the general availability of Apache Iceberg in the Cloudera Data Platform (CDP). Iceberg is a 100% open-table format, developed through the Apache Software Foundation, which helps users avoid vendor lock-in and implement an open lakehouse. The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse (CDW), Cloudera Data Engineering (CDE), and Cloudera Machine Learning (CML).

Introducing Applied Machine Learning Prototypes

Applied Machine Learning Prototypes (AMPs) are open source projects that will fundamentally change the way data scientists build, deploy, and monitor ML models. These fully-developed prototypes are built around common industry use cases — like Churn Prediction Monitoring, Anomaly Detection, and more — and can be customized to give you significant head start. Available in Cloudera Machine Learning, AMPs are tested, trusted, and research backed by Fast Forward Labs.

What is the Impact of Using a Business Analytics Dashboard?

It's common knowledge today that business intelligence (BI) dashboards are powerful tools that can help you track and analyze your business performance, identify trends and patterns, and make better decisions based on data, not gut feeling. There several benefits to using a business intelligence dashboard, and it can have a big impact on your business.

Monitoring in Edge Flow Manager | Observability with Grafana

This video explains Edge Flow Manager (EFM) integration with Prometheus and Grafana. After installing and configuring Prometheus to scrape, EFM should also be configured to expose metrics. When the time series are in place, Grafana is also installed and configured to visualize exposed metrics. There are some EFM specific Grafana dashboards that are publicly available that can be easily downloaded and imported to Grafana. When everything is configured correctly agent specific dashboards can be accessed from the EFM UI.