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May 3, 2021,09:00am EDT|
CLOUDERA'S DATA PLATFORM PRIVATE AND PUBLIC CLOUD BOTH GA AND IT'S TIME TO
MIGRATE
Patrick Moorhead
Senior Contributor
Opinions expressed by Forbes Contributors are their own.
Cloud
I write about disruptive companies, technologies and usage models.
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Five years ago, the industry was debating the notion of a hybrid cloud and many
boards and investors only saw the value in the public cloud. In 2018, AWS
announced Outposts and the debate stopped. With 94% of IT spend and 80% of the
data on-prem, the world is very much hybrid. The only thing we’re debating now
is how to manage multiple clouds. Multi-cloud is complex and requires
orchestration of data, security and networking. Cloudera has emerged as a leader
if not the leader in hybrid, end-to-end data management.
Last year I wrote an article discussing how Cloudera is helping companies to
manage data wherever it may reside. Later I followed up with another article
discussing the “360-degree view of data” exacerbated by the Covid-19 pandemic.
Cloudera has general availability (GA) with Cloudera Data Platform (CDP) for
public and private clouds and has 1,000s of PB of data already under management.
It is time to understand what makes this platform particularly powerful and how
Cloudera will build on this momentum in the future.
Cloudera Data Platform
Cloudera
“True” hybrid and multi-cloud data management
I have long maintained that hybrid and multi-cloud are table stakes to make a
modern architecture function. Today the debate is more about which tier – public
or private – to place applications and data, how to burst between the two, and
the importance of security and governance.
To achieve a “true” hybrid cloud requires integration between the private and
public clouds that allows applications and data to move seamlessly across the
disparate infrastructures and for the combined environments to be managed and
secured holistically. I would argue that many hybrid solutions today comprised
of multiple point products from different vendors are not a "true" hybrid
solution and a high-risk proposition. Each component will be subject to upgrades
at various times regardless of your integration. Security and governance models
will vary across products that put you at risk of data loss or security
vulnerabilities.
I am excited about the availability of Cloudera's Data Platform on both private
and public clouds. Maybe it was my many comments on the hybrid future! But
Cloudera recognized early that an enterprise architecture for hybrid and
multi-cloud data was the destination.
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Cloudera's Data Platform is a "true" hybrid solution with the same architecture
across private and public clouds and the same security and governance to avoid
compliance issues and to reduce the risk of security breaches. There is a single
pane of glass to manage your data, whether on-premises or in the three major
public clouds; take your pick; AWS, Azure, and Google.
Cloudera delivers the agility, flexibility you expect from the cloud, and the
cost controls you have on-premises as you can move your data seamlessly between
the clouds. Cloudera has achieved a "true" hybrid solution for managing data.
Addressing the entire lifecycle of data
In 2020, before making CDP generally available (GA), Cloudera worked with a
group of customers to understand how the private, public tier strategy would
work and the level of interoperability across multi-cloud. Technical previews
also gave customers experience with the security and governance platform
Cloudera Shared Data Experience (SDX). CDP with SDX provides security and
governance for your data, managed from a single pane of glass regardless of
where the data resides. Security and governance are a significant part of the
move to hybrid. SDX collects metadata that moves with the data from on-premises
or the public cloud. There is always an audit trail to see who touched the data,
how it has changed, who changed it, factors necessary to comply with
regulations.
Cloudera has relationships with big enterprises, many of which have been
understandably cautious, given the regulatory frameworks and the data privacy
laws worldwide. But now, Cloudera sees cloud acceleration that has increased
during the pandemic with hundreds of petabytes of data under management. More
and more businesses are in the process of learning which workloads need the
high performance of cloud and merit the expense while other workloads make more
sense to run on prem at a different cost. With freedom of choice that a hybrid
cloud model brings, workloads can now be tied directly to budgets and the
business value of that workload.
CDP private and public services address the entire lifecycle of data, managing
data from the point of origination, process it in real-time, reporting, direct
actions using machine learning, and workload placement for optimum performance
and cost.
The enterprise data cloud, including a hybrid private cloud, combines the ease
of use of public cloud infrastructure with the performance, security, and cost
controls in the data center.
Cloudera provides several integrated services on CDP, such as data warehouse,
streaming, data engineering, and machine learning analytics.
Let the migrations begin!Now that CDP is available, Cloudera's challenge now is
to get customers on the platform as quickly and painlessly as possible to solve
real business problems.
Migration involves blending business data and cloud strategy to achieve the
desired result, best explained by a couple of industry examples.
The first example involves manufacturing and connected cars. Many use cases
emerge from analyzing car data, such as the potential to improve journeys,
reduce accidents, and predict service events. Analytical models in the cloud or
even onboard can predict service events notifying an upcoming issue and
directing the driver to the nearest dealership. Warranty analytics have proven
to be effective at identifying emerging issues several months faster than
traditional warranty processes.
The manufacturer will have data coming from the vehicle that needs to be meshed
and analyzed with data coming out of production systems sitting within the
manufacturing plant. Cloudera looked at the data landscape, with data at the
edge, plant data, production data, and maintenance data that potentially can
contribute to the analysis. Fundamental questions such as the quantity of data,
sources, locations, and how the cost can be optimized form the basis for a
reference architecture. Workloads not utilized in CDP are disabled, so customers
are not incurring unnecessary cloud operating costs.
Another example involves the banking industry. The Fundamental Review of the
Trading Book (FRTB) is a suite of capital rules developed for banks' wholesale
trading activities and liquidity. In this example, the bank used the CDP public
cloud to house new data that required more proactive monitoring and did not fit
the existing data warehouse structure. CDP private cloud housed historical data.
Visibility to the banks' overall liquidity resulted from blending data from both
sources.
Solutions involve understanding the data landscape and deciding whether to
locate in the cloud or on-premises or hybrid and then build the data
architecture and cloud architecture based upon those requirements. Cloudera will
help with the analysis with tools based on repeatable models that help optimize
cloud and upfront costs.
Wrapping up
At this point, I would say that Cloudera has emerged as a leader if not the
leader in hybrid multi-cloud data analytics. If you want to manage data
end-to-end, from the edge, on-premises, and multiple public clouds, your choice
today is Cloudera that already has 1,000s of PBs under management.
With Cloudera's Data Platform private and public cloud both generally
available, the new focus is customer business problems, ultimately leading to
new product innovation in the form of additional cloud-native services offered
on the CDP platform. New integrated workloads typical across the customer base
will result in a faster time to value.
To assist customers in migrating workloads to CDP, Cloudera uses a library of
repeatable reference architectures increasing over time. Common patterns emerge
from the bespoke work Cloudera performs for individual customers.
I look forward to writing the next chapter as customers solve real business
problems on this platform across the hybrid cloud.
Note: Moor Insights & Strategy writers and editors may have contributed to this
article.
Moor Insights & Strategy, like all research and analyst firms, provides or has
provided paid research, analysis, advising, or consulting to many high-tech
companies in the industry, including 8x8, Advanced Micro Devices, Amazon,
Applied Micro, ARM, Aruba Networks, AT&T, AWS, A-10 Strategies, Bitfusion,
Blaize, Box, Broadcom, Calix, Cisco Systems, Clear Software, Cloudera, Clumio,
Cognitive Systems, CompuCom, Dell, Dell EMC, Dell Technologies, Diablo
Technologies, Digital Optics, Dreamchain, Echelon, Ericsson, Extreme Networks,
Flex, Foxconn, Frame (now VMware), Fujitsu, Gen Z Consortium, Glue Networks,
GlobalFoundries, Google (Nest-Revolve), Google Cloud, HP Inc., Hewlett Packard
Enterprise, Honeywell, Huawei Technologies, IBM, Ion VR, Inseego, Infosys,
Intel, Interdigital, Jabil Circuit, Konica Minolta, Lattice Semiconductor,
Lenovo, Linux Foundation, MapBox, Marvell, Mavenir, Marseille Inc, Mayfair
Equity, Meraki (Cisco), Mesophere, Microsoft, Mojo Networks, National
Instruments, NetApp, Nightwatch, NOKIA (Alcatel-Lucent), Nortek, Novumind,
NVIDIA, Nuvia, ON Semiconductor, ONUG, OpenStack Foundation, Oracle, Poly,
Panasas, Peraso, Pexip, Pixelworks, Plume Design, Poly, Portworx, Pure Storage,
Qualcomm, Rackspace, Rambus, Rayvolt E-Bikes, Red Hat, Residio, Samsung
Electronics, SAP, SAS, Scale Computing, Schneider Electric, Silver Peak,
SONY, Springpath, Spirent, Splunk, Sprint, Stratus Technologies, Symantec,
Synaptics, Syniverse, Synopsys, Tanium, TE
Connectivity, TensTorrent, Tobii Technology, T-Mobile, Twitter, Unity
Technologies, UiPath, Verizon Communications, Vidyo, VMware, Wave
Computing, Wellsmith, Xilinx, Zebra, Zededa, and Zoho which may be cited in
blogs and research.
Follow me on Twitter or LinkedIn. Check out my website or some of my other
work here.
Patrick Moorhead
Patrick was ranked the #1 analyst out of 8,000 in the ARInsights Power 100
rankings and the #1 most cited analyst as ranked by Apollo Research. Patrick
founded Moor
…
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Patrick was ranked the #1 analyst out of 8,000 in the ARInsights Power 100
rankings and the #1 most cited analyst as ranked by Apollo Research. Patrick
founded Moor Insights & Strategy based on in his real-world world technology
experiences with the understanding of what he wasn’t getting from analysts and
consultants. Moorhead is also a contributor for both Forbes, CIO, and the Next
Platform. He runs MI&S but is a broad-based analyst covering a wide variety of
topics including the software-defined datacenter and the Internet of Things
(IoT), and Patrick is a deep expert in client computing and semiconductors. He
has nearly 30 years of experience including 15 years as an executive at high
tech companies leading strategy, product management, product marketing, and
corporate marketing, including three industry board appointments. Before Patrick
started the firm, he spent over 20 years as a high-tech strategy, product, and
marketing executive who has addressed the personal computer, mobile, graphics,
and server ecosystems. Unlike other analyst firms, Moorhead held executive
positions leading strategy, marketing, and product groups. He is grounded in
reality as he has led the planning and execution and had to live with the
outcomes. Moorhead also has significant board experience. He served as an
executive board member of the Consumer Electronics Association (CEA), the
American Electronics Association (AEA) and chaired the board of the St. David’s
Medical Center for five years, designated by Thomson Reuters as one of the 100
Top Hospitals in America.
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