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Solutions
For personal storage solutions visit these Western Digital brands
BUCKLE UP
Counterpoint Research estimated the storage capacity requirement for autonomous vehicles to balloon over 2TB in the next decade
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Innovations
ZONED STORAGE
Addresses data center scale with increased capacity, better QoS with lower TCO
Big Data: Actionable Insights Driving Better Outcomes
HOW TO MAKE SENSE OF BIG DATA
Making Sense of Big Data to Achieve Better Outcomes
“Big Data” represents very large datasets that need to be analyzed and use various computations, algorithms, artificial intelligence (AI), and machine learning (ML), to unmask trends, patterns, and associations that provide valuable insights, new data connections, and precise predictions that can help achieve better outcomes.
Data is no longer just generated from applications, but now it comes from mobile, IoT and IIoT devices, connected/autonomous vehicles, machine sensors, healthcare monitors and wearables, video surveillance, etc. It’s no longer about just storing data, but capturing, preserving, accessing, and transforming it to take advantage of the possibilities it possesses and the value it delivers.
1.7 MB/s by 2020
About 1.7 megabytes of new information will be created every second for every human on the planet by 20201
403 EB by 2021
Big Data will reach 403 exabytes (EB) by 2021, up almost 8-fold from 25EB in 20162
2.5 Quintillion
There are 2.5 quintillion bytes of data created each day at our current pace, and that pace is only accelerating with the growth of IoT3
Big Data applications use specialty GP-GPU, FPGA and ASIC processors to analyze large datasets with deep learning techniques, and unmask trends, patterns, and associations, enabling image recognition, speech recognition, among others. As such, Big Data is based on information largely from the past, or rested data that typically resides in a cloud. A frequent outcome of a Big Data analysis is a “trained” neural network capable of executing a specific task, such as recognizing and tagging all faces in an image or video sequence. . . . [or providing] insights derived from ‘what happened’ to ‘what will likely happen’ (predictive analysis).
SOURCE: A NEW ERA OF STORAGE: OPEN COMPUTE WITH RISC-V AND MEMORY FABRICS BY DR. ZVONIMIR BANDIC, WESTERN DIGITAL (EMBEDDED COMPUTING DESIGN, 2/21/18)
HOW TO DERIVE VALUE FROM BIG DATA
Achieving Valuable Insights from Big Data
When referencing the growth of data, we talk in terms of the volume, velocity, and variety (aka the three Vs). But as organizations shift from capturing data to enabling data, a fourth V has quickly taken center stage—and that V is value.
Value is powerful because it enables all of the data to be integrated and analyzed at once regardless of the source, type, size, or format, so that insights can be generated to address a wide range of business challenges. As such, extreme big data workloads demand advanced storage infrastructures with purpose-built capabilities in the future.
ACHIEVING VALUE FROM BIG DATA
Western Digital Offers a Portfolio of Products, Covering a Range of Market Segments, Created to Enable Customers to Derive Valuable Insights and Intelligence from Big Data
Internet Of Things
INTERNET OF THINGS
Creating Value From Internet of Things
Enterprises in every industry are accelerating their use of Internet of Things (IoT) data to change and improve the way they work and to get more value from the data they are collecting. The data collected has the potential to improve efficiency and create new revenue streams, but harnessing this data requires a different approach to storage.
Cloud object systems are ideally suited for cost effectively handling the enormous volume of data created by IoT. They are designed to aggregate, store, and protect data as a centralized hybrid cloud system, while enabling analytics in place and securely sharing data with a globally dispersed ecosystem.
55 Billion
IoT Devices by 2025
Up from about 9 billion in 20174
$15 Trillion
Aggregate IoT Investment
Between 2017 and 20254
THE SCALE & EFFICIENCY TO HANDLE IOT BIG DATA
Object storage systems are specifically designed to handle massive amounts of data, such as that generated by IOT. It’s high- density, low-power footprint, extreme durability and compelling economics means all your data can be kept versus having to decide what to delete.
ESG WHITE PAPER: WESTERN DIGITAL’S DATA LAKE STRATEGY: INNOVATION FOR A DATA-CENTRIC FUTURE
Creating a data lake with one of the lowest TCOs and without compromising performance, scalability and reliability
Digital Transformation Acceleration
DIGITAL TRANSFORMATION ACCELERATION
Accelerate Digital Transformation with Big Data
One of the biggest barriers to effective digital transformation is the ability to leverage large amounts of data to gain insights that can improve business in some way. Balancing storage efficiency at scale with the need to access data quickly is difficult with traditional storage technology.
Traditional systems are too expensive to deploy and maintain at petabyte scale. The rush to the public cloud has surprised many by being costly and slow when data is retrieved. Cloud object systems were designed specifically for big data as a private or hybrid cloud and delivers the scalability, durability, and accessibility required by enterprises.
5.2
Zettabytes
Amount of the global datasphere that IDC estimates will be subject to data analysis in 20255
1.4
Zettabytes
Amount of data that IDC estimates will be used by cognitive systems for analysis in 20255
CHANGING THE ECONOMICS OF BIG DATA
Our cloud object systems provide the foundation for efficiently storing, accessing and protecting rapidly growing amounts of data in a hybrid cloud configuration — helping to provide an economical and easy to manage approach.
Accelerate Business Agility with Hybrid Cloud Storage
Varying workloads require an infrastructure that is highly scalable and resilient while being globally accessible and affordable.
Financial Decision Making
FINANCIAL DECISION MAKING
Intelligent and Responsive Decision Making
Welcome to the digital finance era, where advances in technology create more responsive interactions in the cloud, online, and on-premises. Artificial intelligence (AI) and machine learning power the actuarial and insurance industries, and automated processes reduce the friction of regulatory compliance and discovery. Ultimately, intelligent and quick decision making means increased profits, enhanced customer service, and streamlined interactions and transactions.
A TRUSTED RESOURCE FOR THE FINANCIAL MARKET
Mitigate trade finance risk by making data-driven desisions. The Western Digital portfolio of products provide for critical decision making, responsive e-commerce transactions, and real-time analytics.
Big Data — Financial Decision Making
For more information regarding Financial Decision Making, please send a message using the link below.
Enhancing Apache Hadoop Deployments
ENHANCING APACHE HADOOP DEPLOYMENTS
Workloads Matter: Making Smart Choices for Your Apache Hadoop Clusters
There are thousands of different Apache Hadoop® workloads, and every Hadoop cluster is unique. The success of every Hadoop instance, however, includes choosing the right storage solution to optimize the desired outcome when processing your Big Data workloads.
For example, using the right drive for each workload can reduce bottlenecks, improve performance, decrease bandwidth constraints, and provide for deeper insights into existing data. For clusters that are compute or ingest limited, selected hard drives can address the challenge of capacity and cost. For those clusters that are running into random I/O bottlenecks, it may make sense to augment your chosen hard drives with a flash-based SSD to obtain the random performance of SSDs with the capacity of hard drives.
A TRUSTED RESOURCE FOR APACHE HADOOP WORKLOADS
Western Digital’s portfolio of products can be ideal for delivering the optimal Apache Hadoop experience. Their increased capacity, coupled with the performance and power benefits of HelioSeal and Media Cache, can have a positive impact on your Hadoop infrastructure costs and performance. Plus, adding a single or RAID-mirrored pair of enterprise-class SSDs may augment random performance while allowing the hard drives to be fully dedicated to delivering large block performance.
Apache Hadoop® Disaggregation and Tiering
Learn how you can minimize the expense and size of your Apache Hadoop® infrastructure while maximizing the results by using Western Digital storage products.
BIG DATA EXPERTS AGREE
The amount of data that companies collect and store today is staggering. However, it’s not the volume of data being gathered that’s most important - it’s what companies are doing with the data that matters most.
Modern businesses know that Big Data is powerful, but they’re starting to realize that it’s not nearly as useful as when it’s paired with intelligent automation. With massive computational power, ML systems help companies manage, analyze and use their data far more successfully than ever before.
SOURCE: MACHINE LEARNING AND BIG DATA — REAL-WORLD APPLICATIONS BY KERRI HALE (TOWARDS DATA SCIENCE, 3/26)
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This webpage may contain forward-looking statements, including, but not limited to, statements regarding our product and technology portfolio, the capacities, capabilities and applications of, and market for, our products, our strategies and growth opportunities, and market trends. These forward-looking statements are subject to risks and uncertainties that could cause actual results to differ materially from those expressed in or implied by the forward-looking statements. The risks and uncertainties are discussed more fully in Western Digital Corporation's filings with the Securities and Exchange Commission, including our most recently filed periodic report, to which your attention is directed. Readers are cautioned not to place undue reliance on these forward-looking statements and we undertake no obligation to update these forward-looking statements to reflect subsequent events or circumstances, except as required by law.
Disclosures
1. Source: Big Data Facts by Vishal Kumar (AnalyticsWeek, 3/26/17) 2. Source: Cloud traffic projected to represent 95% of global data center traffic by 2021: Study by ETCIO Staff (ETCIO, 2/7/18) 3. Source: Data Never Sleeps 5.0, Domo, 2017 4. Source: IoT Report: How Internet of Things technology is now reaching mainstream companies and consumers by Peter Newman (Business Insider, 7/27/18). 5. Source: IDC: Data Creation to Reach 163 Zettabytes by 2025 by Timothy King (Data Management News, 4/11/17)
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