The Future Is Hybrid Data, Embrace It

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

Microsoft

In fact, the total amount of data is expected to nearly triple by 2025. The cause is hybrid data – the massive amounts of data created everywhere businesses operate – in clouds, on-prem, and at the edge. Only a fraction of data created is actually stored and managed, with analysts estimating it to be between 4 – 6 ZB in 2020. Clearly, hybrid data presents a massive opportunity and a tough challenge. Capitalizing on the potential requires the ability to harness the value of all of that data, no matter where it is.

If you haven’t looked at Cloudera in a while, it’s time you do

For Cloudera this is a back to the future moment. Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. Hey, if the 90s and early 00s are back in style, it was really just a matter of time, wasn’t it? But this is not your grandfather’s big data. It has evolved into something new – hybrid data. Sure we can help you secure, manage, and analyze PetaBytes of structured and unstructured data. We do that on-prem with almost 1 ZB of data under management – nearly 20% of that global total. We can also do it with your preferred cloud – AWS, Azure or GCP. And, as Deloitte put it: “Hybrid cloud is the de facto model”.

Don’t just take our word for it, look at the stats

Cloudera is one of only two visionaries in Gartner’s Cloud DBMS magic quadrant analysis. We are a Gartner Peer Insights Customer Choice for Cloud DBMS products. Also, Cloudera DataFlow is rated highly in the GigaOm Radar for Streaming Data Platforms.

Razer

Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. And we were cited by those same analysts as rating better than all vendors for hybrid and multi-cloud analytic solutions.

In our very own Enterprise Data Maturity research surveying over 3,000 IT and senior business leaders, we found that 40% of organizations are currently running hybrid but mostly on-premises, and 36% of respondents expect to shift to hybrid multi-cloud in the next 18 months. The same study also revealed that 89% of IT decision makers agree that organizations that implement a hybrid architecture as part of its data strategy will gain a competitive advantage.

Where data flows, ideas follow

Today, we are leading the way in hybrid data. Cloudera uniquely empowers everyone to get real-time insights from any data, in any cloud, for fast, informed decision making that reduces the time to value. Want to manage and analyze data of all types including machine, structured, transactional, and unstructured – anywhere? Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform. We deliver cloud-native data analytics across the full data lifecycle – data distribution, data engineering, data warehousing, transactional data, streaming data, data science, and machine learning – that’s portable across infrastructures. Only Cloudera enables multifunction analytics that can be written once and run anywhere.

Choose a hybrid data-first strategy to deliver value faster

Companies can now capitalize on the value in all their data, by delivering a hybrid data platform for modern data architectures with data anywhere. Cloudera Data Platform (CDP) is designed to address the critical requirements for modern data architectures today and tomorrow.

Jonathan Takiff / IDG

It is a unified platform with portable, interoperable data analytics for the full data lifecycle and distributed data management running on public clouds, on-premises and at the edge. Common security, governance, metadata, replication, and automation enable CDP to operate as an integrated system. This is precisely what industry analysts recommend as mandatory for data fabric, data lakehouse, data mesh and future data ecosystem architectures.

As big data has evolved to cloud data and now to hybrid data, it has gotten more complex for businesses to access, use and create value from it. That’s where modern data architectures like data lakehouse, data fabric and data mesh come in. These new architectures are designed to handle the complexity automatically, so IT teams don’t have to. A unified data fabric, powered by Cloudera SDX, orchestrates all the disparate data sources intelligently and securely in a self-service manner. Our customers are now empowered with a unified, trusted, and comprehensive view of all their data. Only with SDX can companies do this across multiple clouds and on-premises.

As the first company to offer an open data lakehouse, we enable multi-function analytics on both streaming and stored data in a cloud-native object store across multiple clouds and on-premises, allowing our customers the freedom to choose. Cloudera prioritizes openness and interoperability, which is why we are working in the community using Apache Iceberg as our next-gen table format to enable CDP customers to use the analytic tool of their choice with the lakehouse.

For companies who want to enable a scalable data mesh, which allows data to be treated as a product by combining elements of the data fabric and data lakehouse architectures, we provide the capability to own and serve up data products. Only Cloudera enables companies to do this in a consistently secured, governed, and orchestrated manner across multi-cloud and on-premises. Cloudera Data Platform’s hybrid deployment capability with centralized governance is absolutely fundamental to enabling the data mesh architecture companies want. Companies know that secure, well-governed and accessible data, on-demand, fuels growth. Cloudera Data Platform (CDP) is able to deliver modern data architecture flexibility because it is a hybrid data platform built for the future. In fact, it tracks very closely the guidance Gartner provides in its Strategic Roadmap for Migrating Data Management to the Cloud [Published 21 March 2022 – ID G00746011, Analyst(s): Robert Thanaraj, Adam Ronthal, Donald Feinberg]

“The future data ecosystem should leverage distributed data management components — which may run on multiple clouds and/or on-premises — but are treated as a cohesive whole with a high degree of automation. Integration, metadata and governance capabilities glue the individual components together.”

The pay-off for our customers is that CDP, as a true hybrid data platform, delivers write-once, run anywhere capabilities that makes data app development faster, easier and more cost effective.

Fuel growth with speed and control

90% of senior business decision makers report that their organization would experience more revenue-paying opportunities if it were able to manage its data more effectively. We are already seeing our customers employing CDP to embrace modern data architectures and capitalize on the value of their hybrid data. A good example is what HelloFresh is doing. They are the largest meal kit company in the world with a classic centralized data management setup of a small number of internal and external sources. It was a typical siloed approach to data management. Following a period of extraordinary growth, the company recognized that data was going to be a key strategic asset that could provide a competitive advantage. They partnered with us to build a data mesh, to deliver trusted data products to the rest of the organization. Adopting a data mesh approach provided clean, consolidated data in real-time for 30% faster cloud deployment and increased customer retention.Today, the data mesh has helped the company eliminate data silos and provide data products that have delivered significant value to the business, like dashboards that monitor error rates and provide dynamic recipe recommendations.

There are many other customers that we are helping achieve significant business value with their data through modern data architectures. Regions Bank deployed their Cloudera based data fabric as the foundation to their new data products, resulting in better customer experience, increased efficiency, and $10+ million per year in retention savings. Deutsche Telekom is using their Cloudera based data lakehouse to power AI/ML driven analytics for fraud detection and service quality, they achieved 10% reduced customer churn while realizing 50% better operational efficiency. And HSBC Security Services can now provide standardized net asset values to their clients, regardless of the accounting system, format or data structure the source data resides in, thanks to their data mesh implementation.

A mere 12% of surveyed IT decision makers reported that their organization interacts with all stages of the lifecycle process, revealing how opportunities remain untapped in terms of how organizations are utilizing their data. Our goal is to give every business the ability to achieve these same types of advantages to move faster in a much easier way. Cloudera is the only company that makes the hybrid data strategy a reality. We can manage and analyze data across any form factors, public and private, and at the edge. We provide a unified security and governance mesh that can control the entire pipeline of data analytics in a consistent and a unified manner. Our data analytics are designed to deliver write-once, run anywhere cloud portability. And we can do that at a scale that no one in the industry can match.