Big Data & Data Analytics Market is Leading in Industry| Tableau Software Teradata Corporation, IBM Corporation Corporation

fusionscienceacademy.com | January 21, 2020

The Research Insights has recently added a new survey report to their vivid and dynamic database, tittle as Big Data & Data Analytics Market.The market intelligence publication delves into the possible growth opportunities for the global Big Data & Data Analytics Market and the sequential growth of the market throughout the forecast period. It also uniquely provisions required data related to facers such as dynamics influencing the progress in all possible reviewing manner. In this Big Data & Data Analytics Market research report, the central factors driving the development of this market were documented and the business accomplices and end administrators were indulgent. The configuration of the business division, examples, and difficulties monitoring the market globally are likewise a bit of this wide examination.
Geographically, the segmentation is done into several key regions like North America, Middle East & Africa, Asia Pacific, Europe and Latin America. The production, consumption, revenue, shares in mill UDS, growth rate of Big Data & Data Analytics Market during the forecast period of 2020 to 2027 is well explained.A complete SWOT analysis including growth opportunities of this market is done to help make well informed Big Data & Data Analytics Market selection.

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Many SMBs are in the middle range in terms of advancing their digital transformation strategy. Several of them did not have the flexibility in their processes to adapt quickly to the shift to work from home and found themselves struggling to maintain business continuity. For smaller businesses, digital transformation efforts, sp


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BIG DATA MANAGEMENT

RBC and Envestnet Data and Analytics announce agreement to provide clients with greater control over their financial data

RBC | June 14, 2022

RBC is pleased to announce a data access agreement with Envestnet | Yodlee, a leading data aggregation and analytics platform, to address the needs of an increasingly digital customer base. The agreement allows RBC clients to better manage their finances and build wealth by connecting to and sharing their RBC financial information with more than 1,500 third-party applications powered by the Envestnet | Yodlee platform. RBC becomes one of the largest banks in Canada to sign a data access agreement with Envestnet | Yodlee. The implementation of this agreement will empower RBC clients with the option to share their financial data, safely and securely with Envestnet | Yodlee through a direct application program interface (API) connection. This eliminates the need for them to share their RBC credentials, improves the accuracy of the data, and significantly accelerates financial data access. "RBC is committed to providing Canadians with industry-leading digital solutions that deliver more value, without compromising the security of their information. "This agreement is a great example of that commitment in action, and how the industry can come together to build new standards that better protect Canadians' data privacy." Peter Tilton, Chief Digital Officer, Personal & Commercial Banking, RBC This move to a direct API connection significantly reduces reliance on RBC client credentials for sharing financial information in Canada, and offers clients a better method to control the release of their account information, greater reliability, and higher speeds in accessing their account information. "Our relationship with RBC is vital for empowering their customers to make intelligent financial decisions," said Farouk Ferchichi, Group President, Envestnet Data and Analytics. "Through our agreement with RBC, we are giving their customers improved access to and control of their financial data, ultimately helping them grow, protect, and manage their wealth." Consumers often use mobile apps and tools to consolidate financial information and to assist with budgeting and managing their money. The implementation of this data access agreement with Envestnet | Yodlee will improve that customer experience. Additionally, RBC clients can now experience improved control and access when sharing their financial data with applications outside the bank. "Our clients want their primary banking relationship to be anchored with RBC, but they also want to be empowered to access, use and share their financial data with other applications," added Tilton. "As we deliver this added client value, it is more important than ever that we do so in a safe and secure manner. This agreement with Envestnet | Yodlee does just that. Not only do RBC clients gain secure access to the broad suite of apps and services Envestnet | Yodlee has to offer, but they also now have more confidence and control over the data that is shared." This new, industry partnership is a demonstration of both companies' long-standing commitment to add value, prioritize security and create peace of mind for clients as they manage their finances digitally. RBC clients also benefit from a wide range of RBC's digital security tools like PIN on Mobile, ID Verification, 2-Step Verification, Card Lock, two-way fraud alerts and fraud monitoring, in addition to the RBC Digital Banking Security Guarantee. These tools and this additional layer of protection through the data access agreement is timely, as privacy is a high priority right now with the rise of fraud attempts during the pandemic. According to RBC's 2022 Fraud Prevention Month Poll, 48% of respondents say fraudsters have increasingly targeted them since the start of the pandemic, compared to 22% in 2021. And Canadians aren't just feeling the increase in fraud attempts—the Canadian Anti-Fraud Centre has reported that incidents of ID fraud targeting financial credentials nearly doubled between 2019 and 2020, from about 9,000 to more than 17,000, and final numbers for 2021 are expected to double again. About RBC Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 89,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our 17 million clients in Canada, the U.S. and 27 other countries.

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BIG DATA MANAGEMENT

SentinelOne Launches DataSet, a Revolutionary Live Enterprise Data Platform

SentinelOne | February 17, 2022

SentinelOne , an autonomous cybersecurity platform company, today announced the launch of DataSet, SentinelOne’s data analytics solution. Building upon the acquisition of Scalyr, DataSet expands beyond cybersecurity use cases delivering a limitless enterprise data platform for live data queries, analytics, insights, and retention. SentinelOne’s Singularity XDR platform was purpose-built to autonomously defend against security threats by addressing cybersecurity as a data problem. Data sets power AI models which instantly determine if behaviors are benign or malicious. Individual data points, automatically linked, deliver machine-made contextualized storylines across the enterprise for visibility and response. EDR and XDR hunting queries provide curated data sets for threat hunters to outperform adversaries. Every aspect of SentinelOne’s autonomous cybersecurity is underpinned in data expertise. Our journey in delivering market-leading autonomous cybersecurity spans processing petabytes of data, growing at an exponential scale and doing so in real time. “For cybersecurity to be effective, it must make split-second autonomous decisions because every millisecond matters. The way SentinelOne solves cybersecurity with data inspired us to apply our expertise beyond cybersecurity to a wide range of enterprise use cases. Our enterprise customers have the same data needs as SentinelOne - the ability to understand and action live data sets at speed. We’re announcing DataSet because we believe every business benefits from the power of understanding and acting on its data. Instantaneous, easy to use, and efficient understanding of a data set is the key to making better business decisions.” Tomer Weingarten, CEO, SentinelOne DataSet is a cloud-native flexible enterprise data platform built for all types of data – live or historical, at petabyte scale. By eliminating data schema requirements from the ingestion process and index limitations from querying, DataSet can process massive amounts of live data in real time, delivering log management, data analytics, and alerting with unparalleled speed, performance, and efficiency - built on a security and privacy-first foundation. Entering the Data-Defined Era “Distributed cloud infrastructure and containerized applications contribute to a vast amount of fast-moving data. The amount of data created in the next three years will be more than the data created over the past 30 years,” said Stephen Elliot, Group VP, Research IT, Cloud Operations, and DevOps at IDC. “The ability to cost-effectively analyze data at scale will become a necessity for every organization.” Asana, Copart, TomTom and DoorDash selected DataSet to analyze all types of data from an unbounded time horizon – streaming and historical. CTOs, CIOs, engineering, and IT operations teams select DataSet, replacing Elastic and Splunk, to harness the power of their data. Legacy data solutions are expensive, slow, and unable to scale at the real-time pace business and technology demands. In the data-defined era, we believe enterprises who are able to leverage their data most effectively will win in their respective markets. Market Adoption of DataSet “With DataSet, our engineering, infrastructure and security teams have one single source of truth to make data-driven decisions. We no longer have to stitch context across teams and use cases,” said Joshua Danielson, Chief Information Security Officer at Copart. “DataSet enables us to act based on data, reduce time to detect and resolve anomalies, and maintain security posture.” “Before DataSet, there was no central management of logs due to the diverse technologies at TomTom. Having to search multiple tools was holding us back, certainly during incidents,” said Carl Meert, Product Manager SRE and Observability at TomTom. “DataSet unifies all of our data from all sources. We are now much faster at detecting and responding to incidents.” Experience DataSet With the launch, SentinelOne has appointed Rahul Ravulur to lead DataSet. He brings more than 25 years of experience in building and operating enterprise products at scale, most recently leading product at Splunk. Ravulur will lead the DataSet business to accelerate market traction with leading data-driven enterprises. “SentinelOne is taking a bold step to externalize its data expertise - to help all businesses unlock the power of their data,” said Ravulur. “With the launch of DataSet, we help organizations overcome the slow, costly legacy platforms that can’t handle the scalability requirements of tomorrow. DataSet is built for the future of data insights and action.” About SentinelOne SentinelOne’s cybersecurity solution encompasses AI-powered prevention, detection, response and hunting across endpoints, containers, cloud workloads, and IoT devices in a single autonomous XDR platform.

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BIG DATA MANAGEMENT

Cloudian Partners with WEKA to Deliver High-Performance, Exabyte-Scalable Storage for AI, Machine Learning and Other Advanced Analytics

Cloudian | January 20, 2022

Cloudian® today announced the integration of its HyperStore® object storage with the WEKA Data Platform for AI, providing high-performance, exabyte-scalable private cloud storage for processing iterative analytical workloads. The combined solution unifies and simplifies the data pipeline for performance-intensive workloads and accelerated DataOps, all easily managed under a single namespace. In addition, the new solution reduces the storage TCO associated with data analytics by a third, compared to traditional storage systems. Advanced Analytics Workloads Create Data Storage Challenges Organizations are consuming and creating more data than ever before, and many are applying AI, machine learning (ML) and other advanced analytics on these large data sets to make better decisions in real-time and unlock new revenue streams. These analytics workloads create and use massive data sets that pose significant storage challenges, most importantly the ability to manage the data growth and enable users to extract timely insights from that data. Traditional storage systems simply can’t handle the processing needs or the scalability required for iterative analytics workloads and introduce bottlenecks to productivity and data-driven decision making. Cloudian-WEKA Next Generation Storage Platform Together, Cloudian and WEKA enable organizations to overcome the challenges of accelerating and scaling their data pipelines while lowering data analytics storage costs. WEKA’s data platform, built on WekaFS, addresses the storage challenges posed by today’s enterprise AI workloads and other high-performance applications running on-premises, in the cloud or bursting between platforms. The joint solution offers the simplicity of NAS, the performance of SAN or DAS and the scale of object storage, along with accelerating every stage of the data pipeline from data ingestion to cleansing to modeled results. Integrated through WEKA’s tiering function, Cloudian’s enterprise-grade, software-defined object storage provides the following key benefits: High Performance – Run concurrent workloads while eliminating compute cluster bottlenecks and reducing processing times. Exabyte Scalability – Grow deployments on demand, from terabytes to an exabyte without disruption, achieving the flexibility and elasticity of the public cloud within a private data center or hybrid cloud model. Enterprise-grade Security – Protect data with encryption in flight and at rest, integrated firewall, RBAC/IAM and SAML access controls, and certification with the most rigorous regulatory requirements, such as Common Criteria, FIPS and SEC Rule 17a-4(f). Resiliency – Achieve high data durability with the option to protect and distribute data using replication or erasure coding, thereby eliminating the need for a separate data backup process. Multi-tenancy – Provision multiple users on shared infrastructure without compromising security. Cost-effective – Save on storage costs, as the solution runs on standard x86 hardware with local NVMe SSDs. “As organizations increasingly employ AI, ML and other advanced analytics to extract greater value from their data, they need a modern storage platform that enables fast, easy data processing and management,” said Jonathan Martin, president, WEKA. “The combination of the WEKA Data Platform and Cloudian object storage provides an ideal solution that can seamlessly and cost-effectively scale to meet growing demands.” “When it comes to supporting advanced analytics applications, users shouldn’t have to make tradeoffs between storage performance and capacity,” said Jon Toor, chief marketing officer, Cloudian. “By eliminating any need to compromise, the integration of our HyperStore software with the WEKA Data Platform gives customers a storage foundation that enables them to fully leverage these applications so they can gain new insights from their data and drive greater business and operational success.” About Cloudian Cloudian is the most widely deployed independent provider of object storage. With a native S3 API, it brings the scalability and flexibility of public cloud storage into the data center while providing ransomware protection and reducing TCO by up to 70% compared to traditional SAN/NAS and public cloud. The geo-distributed architecture enables users to manage and protect object and file data across sites—on-premises and in the cloud—from a single platform.

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DATA ARCHITECTURE

VAST Data Announces Newest Feature Releases

VAST Data | May 23, 2022

VAST Data, the data platform company for the AI-powered world, today announced the latest versions of Universal Storage, bringing enhanced enterprise security features, performance and scale to its flagship software offering. With an install base of multiple exabytes and an annual growth rate of 300%, customers are continually challenging VAST with new feature requests to power their data-intensive use cases. This release, in total, represents more than 30 new features that have been directly requested by VAST customers. Testament to VAST’s distinguished R&D team, the average turnaround of “feature request to code” is four months. “Since our founding, we have always maintained a customer-first mindset, continuously adding new features and functionality at a rapid pace to solve their ever-growing and changing application needs. Ultimately, we work to foster a close collaboration with our customers whose use cases are our product’s North Star. This level of agility is never seen from legacy providers of data infrastructure. Our responsive approach not only helps our customers manage their data easier, it also creates long-term business partnerships with customers and the broader market that is good for VAST.” Jeff Denworth, co-founder of VAST Data VAST’s Universal Storage data platform provides customers with a cloud-native containerized storage architecture, and eliminates storage tiering to unleash insights on their massive reserves of data. Versions 4.2 and 4.3 expand on an already stellar feature set, while continuing to deliver increased functionality, scalability and security features — and still improving system performance. Notable features in the latest release include: Enhanced Security VAST expands protection against ransomware attacks with Object Locks. Customers can set policies on buckets and objects to make them immutable, preventing users and applications from deleting or modifying an object before its expiry. Admins can also use S3 bucket policies to define permissions, enabling secure identity and access management. Now generally available in Universal Storage, Indestructible Snapshots provide an additional layer of protection that safeguards immutable snapshots and policies from sophisticated external or internal attackers. Compliance with Federal Information Processing Standards (FIPS) 140-2, using validated cryptographic libraries for encryption at rest. Flexible Cloud Data Management One platform that integrates S3 bucket management for integrated file and object storage. Customers can easily share data between file and object storage protocols — Universal Storage is the only platform that provides this functionality, giving customers the best of both worlds. Check out this blog post and deep-dive demo. Further improvements to VAST’s centralized Uplink Cloud Management system include integration with Zendesk, providing customers with a smooth and intuitive support experience to create, track and manage their support tickets. For more information about VAST’s Uplink Cloud Management service, check out this blog post and deep-dive demo. Enhanced Performance for Secure Protocols Support for NFS4 over RDMA, delivering a performance boost for NFS4. By extending NFS4 over RDMA, VAST is increasing speed while providing customers with an enhanced security blanket via a Kerberized connection. VAST is the only vendor to accelerate NFS4 with RDMA, making it possible to power high-performance high-scale HPC, AI, media and analytics workloads with a simple and secure client interface. About VAST Data VAST Data delivers the data platform at the heart of the AI-powered world, accelerating time-to-insight for workload-intensive applications. The performance, scalability, ease of use and cost efficiencies of VAST’s software helps enterprise organizations overcome the historic barriers to building all-flash data centers. Founded in 2019, VAST is the fastest-selling data infrastructure startup in history.

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Many SMBs are in the middle range in terms of advancing their digital transformation strategy. Several of them did not have the flexibility in their processes to adapt quickly to the shift to work from home and found themselves struggling to maintain business continuity. For smaller businesses, digital transformation efforts, sp

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