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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BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT,DATA SCIENCE

Risk Africa Innovatis Picks InetSoft as a Partner in Spreading Business Intelligence

InetSoft | August 30, 2022

InetSoft Technology, a pioneer in data intelligence, analytics, and reporting, announced that it is partnering with Risk Africa Innovatis to spread business intelligence in East Africa and beyond. Risk Africa Innovatis uses technology solutions to provide intelligence to decision makers and management of institutions across different sectors close to real time while providing expertise in state-of-the-art predictive risk advisory and management techniques. The company developed RiskAfrica.IRPMIS & CountyGo.IRPMIS, an integrated risk and performance management solution for both public and private sectors. Specialized modules are available for operational risk management, quality management, project management, fraud risk, information security risk, performance management and risk-based internal audit. Risk Africa Innovatis has a vision of turning CEOs and decision makers into pilots and creating a cockpit for them. “As we dug deep in the delivery of technology solutions for real-time intelligence, we realized the power of big data analytics and how it drives solutions that mitigate against the most critical uncertainties affecting an organization’s objectives,” states Gilbert Mwalili, Executive Director of Risk Africa Innovatis. Risk Africa Innovatis chose InetSoft from a crowded field of potential BI partners because of its range of functionalities, most notably a powerful data mashup engine that enables fast and flexible transformation of data from disparate sources enabling close to real-time delivery of our intelligence technology solutions. Comprehensive documentation was found to aid ease of use. Risk Africa Innovatis also observed the fact that there was no need to be an expert in coding or programming to design and use interactive dashboards and analytics. Lastly, during the evaluation phase, the InetSoft technical team was found to always be available to provide guidance for complex scenarios. “By offering InetSoft’s Style Intelligence, Style Scope, and Style Report, we have solutions for the African market that is yet to embrace the power of data at its disposal, and the cockpit dream is an inch closer to actualization,” continued Mr. Mwalili. “From data sourcing, to analysis, visual intelligence and reporting, our partnership is poised to link Africa with the rest of the world. Unchaining the African potential of being the future business frontier builds our agenda of innovating and driving data-driven decision making with InetSoft BI.” “In Risk Africa Innovatis, we have found a progressive, aggressive partner in enabling successful deployments of our data intelligence solutions in East Africa and beyond. “We will continue to be their agile partner with an engineering team always accessible to ensure mutual success.” Mark Flaherty, CMO at InetSoft About Risk Africa Innovatis Risk Africa Innovatis is a Kenyan-owned technology-based management advisory service provider with a pool of professionals in various fields of expertise and experience gained locally and internationally. The company’s focus is to use technology solutions to provide intelligence to decision makers and management of institutions across different sectors while providing expertise in state-of-the-art risk advisory and management techniques. About InetSoft Since 1996, InetSoft has been delivering easy, agile, and robust business intelligence software that makes it possible for organizations and solution providers of all sizes to deploy or embed full-featured business intelligence solutions. At the core of the platform is a data mashup and transformation engine that can preclude the need for data warehouse and data preparation expenses. Application highlights include visually-compelling interactive dashboards, pixel-perfect production reporting, and machine learning functionality accessible to non-data scientists. All of these capabilities combine to allow a maximum degree of self-service that benefits the average business user, the IT administrator, and the developer. InetSoft’s solutions have been deployed at over 5,000 organizations worldwide, including 25% of Fortune 500 companies, spanning all types of industries.

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BIG DATA MANAGEMENT,DATA SCIENCE

Amazon Unveils Additional Analytics and Data to Empower Seller Success

Amazon | September 16, 2022

Today at Accelerate, Amazon’s annual seller conference, Amazon announced new features to Manage Your Experiments, a tool that helps sellers optimize content on product detail pages to drive higher rates of conversion, increasing their sales by up to 25%. Amazon also enhanced the Product Opportunity Explorer and Search Analytics Dashboard with new capabilities that help brands analyze marketing campaigns and identify areas to acquire new customers and drive repeat purchases. This new set of industry-leading tools makes it easier for sellers to tap into customer insights and analytics data to launch new products and increase sales. “We’re focused on supporting sellers as they work to build and grow their business,” said Benjamin Hartman, vice president of Amazon North America Selling Partner Services. “The tools we’re announcing today are a direct result of seller feedback and target every step of their Amazon sales funnel, from new customer acquisition to increased lifetime value. We’re committed to continuing to develop tools and features that deliver actionable insights for sellers.” “We have been working with Amazon since the beginning, leveraging data to build our business into one of the largest jewelry sellers on Amazon,” said Tal Masica, founder of PAVOI Jewelry. “Thanks to enhancements to the Search Analytics Dashboard and Product Opportunity Explorer, we now have the ability to analyze search trends at a granular level, giving us actionable insights to improve both trend forecasting and design for future collections – so we can continue delivering quality sustainable jewelry that our customers love to wear every day.” Amazon offers a range of industry-leading tools that empower sellers to optimize their listings, better understand customers, differentiate their brands, and grow their business. The following new tools were announced at Accelerate 2022: Manage Your Experiments is designed to increase the quality of product detail pages and drive higher conversion. With Manage Your Experiments, brands are able to run A/B tests on their titles, main images, and A+ content to see what performs best. Now, brands can also A/B test bullet points and descriptions, and review machine learning-based recommendations for product images and titles to drive better conversion. Additionally, brands can now opt-in to auto-publish winning experiments to the product detail page, automating their A/B tests. Sellers benefit from traffic from hundreds of millions of Amazon customers, and the new Manage Your Experiments features make it easier to test more content, faster. Search Analytics Dashboard has expanded since its launch in early 2022 to offer a new insights dashboard that provides sellers with anonymized data to better understand customers’ interests and shopping habits. For the first time, brands can download Search Query and Catalog Performance data and new ASIN-level details. This new capability enables brands to easily assess marketing campaigns to identify areas to drive repeat purchases and acquire new customers—either directly from within Amazon’s tools or by combining Amazon data with the seller’s own business data. The enhanced Search Analytics Dashboard is launching worldwide in September. Product Opportunity Explorer builds on its successful beta introduction in 2021, continuing to offer rich, accurate data that helps sellers understand, gauge, and evaluate product opportunities in the Amazon store. Sellers can assess the likelihood of a new product gaining traction with customers and forecast sales potential. For the first time, Amazon has now introduced an enhanced Product Opportunity Explorer with a new feature, Customer Reviews Insight. This feature helps sellers work backward from the customer, using customer feedback from product review insights and product star ratings, to help brands determine what features they should build and prioritize as they launch new products or modify existing ones. Marketplace Product Guidance, initially announced in 2021, has been enhanced to provide Selection Recommendations—products in high demand—for U.S. sellers looking to expand to France, Italy, and Spain. Selection Recommendations give sellers insight as to products not currently offered that fit a seller’s portfolio, surfacing new growth opportunities. The tool takes the guesswork out of which products should be considered in those stores, based on customer demand. These recommendations are personalized and ranked based on their opportunity score as calculated by machine learning models that are designed to predict the best opportunities for new selection. Every year, Amazon invests billions of dollars to improve the infrastructure, tools, services, fulfillment solutions, and resources dedicated to helping sellers succeed. Sellers are responsible for more than half of Amazon’s physical product sales; sellers in our store employed and provided jobs for more than 1.5 million people in the United States. About Amazon Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth’s Most Customer-Centric Company, Earth’s Best Employer, and Earth’s Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon.

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BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT,DATA ARCHITECTURE`

SAS and SingleStore deliver next-generation data and analytics architecture

SAS | August 23, 2022

Analytics leader SAS has joined forces with SingleStore to help organizations remove barriers to data access, maximize performance and scalability, and uncover key data-driven insights. SAS® Viya® with SingleStore enables the use of SAS analytics and AI technology on data stored in SingleStore's cloud-native real-time database. The integration provides flexible, open access to curated data to help accelerate value for cloud, hybrid and on-premises deployments. "The economic costs of storage and infrastructure, as well as the complexity of data integration and manual processing, often obstruct today's technology leaders from making decisions quickly and effectively," said Carl Olofson, Research Vice President of Data Management Software at IDC. "By moving more intelligence capabilities closer to their data, organizations can greatly improve productivity and performance, reduce economic costs and accelerate data-driven decisions." Through SingleStore's data compression and SAS' analytic performance, the companies aim to reduce the complexity of data management and integration, as well as the computational time required to train sophisticated models. "For many organizations, repetitive data movement, manual processes and isolated data islands make it difficult to quickly derive value from analytics. "SAS Viya with SingleStore delivers a game-changing set of capabilities that simplifies and accelerates the iterative data and analytics loops to improve speed-to-decision and unlock that critical value." Bryan Harris, Chief Technology Officer at SAS SAS Viya with SingleStore enables the advanced AI and machine learning analytics of SAS to be executed directly against relational database tables in SingleStore. By delivering this capability, SAS and SingleStore will considerably reduce customers' technical debt of duplicative data stores, helping improve analytic workload performance and ultimately uncover key competitive advantages. "The integration of SingleStore's hybrid, multi-cloud database into the parallel analytics engine, SAS Viya, will dramatically improve performance, reduce cost, and enable real-time applications for organizations," said Raj Verma, CEO of SingleStore. "Personally, it is a privilege to partner with the company that practically invented analytics, AI and ML. I have long admired SAS in terms of its technology, culture and leadership, and to partner with them as they reinvent the space is both an honor and an exciting opportunity." In December 2020, SingleStore announced a strategic relationship with SAS. Learn more about the SAS Viya with SingleStore integration, which is available now, at sas.com/viya-singlestore and singlestore.com/partners/sas-viya/. About SingleStore SingleStore provides an ultra-fast modern cloud database designed for the data-intensive era. SingleStore unifies all data by combining transactions and analytics into one powerful distributed, multi-model database that delivers exceptional performance while reducing cost and complexity. Organizations across the globe use SingleStore to build modern applications, to deliver fast analytics, and to eliminate database sprawl. SingleStore is available on all the leading clouds as SaaS, hybrid, and on-premises deployments. About SAS SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence.

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BIG DATA MANAGEMENT

Treasure Data Named as a Strong Performer in Customer Analytics Technologies Evaluation by Independent Research Firm

Treasure Data | August 05, 2022

Treasure Data, a best-of-breed enterprise customer data platform (CDP), today announced it has been recognized as a Strong Performer by Forrester Research, Inc. in its recently published report "The Forrester Wave™: Customer Analytics Technologies, Q2 2022." This report evaluated customer analytics technology providers along 32 criteria segmented into three primary categories: current offering, strategy, and market presence. According to the report, "Treasure Data fully embraces the next-best-experience ethos. While most customer data platforms focus solely on marketing data and use cases, Treasure Data has launched a CDP for Sales and a CDP for Service in addition to its CDP for Marketing. Treasure Data's superior product roadmap focuses on trust through data and model lineage, and democratization through automated machine learning (AutoML). A cash infusion of $234 million from Softbank last year, the largest funding round ever for a CDP, should help Treasure Data achieve it." The report continued, "As an open platform that is agnostic of data source or type, Treasure Data excels at the breadth of customer data it can store and analyze, and reference customers were highly satisfied with this capability. It also has productized reinforcement learning into strong optimization functionality and offers a robust UI for model evaluation and monitoring." "We're proud to be the only customer analytics-focused CDP designated as a Strong Performer by Forrester, which further validates, in our opinion, that our current business model, operational strategy, and product roadmap are on track and are propelling the company to greater heights as its maturation continues in a highly-competitive industry category," said Kazuki "Kaz" Ohta, co-founder and chief executive officer of Treasure Data. "As we begin our second decade of operation, we are laser-focused on customer acquisition, deeper penetration of important vertical markets, and building out the product portfolio so Treasure Data CDP can be used by a greater spectrum of potential clients around the world." About Treasure Data  Treasure Data is a best-of-breed enterprise customer data platform (CDP) that powers the entire business to shape customer-centricity in the age of the digital customer. We do this by connecting all data into one smart customer data platform, uniting teams and systems to power purposeful engagements that drive value and protect privacy for every customer, every time.

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