DATA ARCHITECTURE

Vertica Integrates with H3C ONEStor to Bring Cloud-Scale Analytics

Vertica | February 24, 2022

Unified Analytics and Machine Learning on a Reliable Platform are delivered through a Combination Offering.

Vertica and H3C ONEStor have announced a partnership to bring cloud-native analytics to business data centres. Vertica and H3C, working together, enable analytically driven businesses to elastically increase capacity and performance as data volumes rise and machine learning efforts become a business need - all from inside hybrid environments.

"With this integration, data-driven leaders in the APAC region will benefit from a powerful combination of industry-leading platforms that accommodate any present and future strategic analytical and machine learning initiatives. H3C has a solid presence in this region, enabling our joint customers to run Vertica's cloud-optimized architecture with H3C's ONEStor to meet the most demanding performance and financial requirements – from enterprise data centers or private clouds."

Scott Richards, vice president and general manager of Vertica

Businesses may use Vertica and H3C ONEStor to leverage cloud innovation for analytics wherever their data is stored, even if cloud migration isn't viable due to scheduling or cost. When these 2 technologies are combined, they provide quick analytics while also simplifying data protection with features like backup and replication. Additionally, because it uses cloud technology for data storage, it ensures 99.9999999% dependability for mission-critical data.

Yili Liu, VP of Cloud and Intelligence Product Line from H3C stated that "We're delighted to offer Vertica analytics and machine learning on top of our ONEStor from H3C. The analytical performance offered by Vertica combined with the data reliability of ONEStor offer ultra-large-scale and capacity, unmatched analytical performance, and high data reliability."

The integrated solution combines high-performance analytics and machine learning with enterprise-grade object storage, allowing businesses to:

Address present and future scalability requirements - As you’re analytical and machine learning requirements change, elastically expand out to accommodate terabytes to petabytes of data and thousands of users.

Utilize computing and storage architectural separation - Administrators can scale computation and data storage resources separately to meet fluctuating dynamic workload needs.

Simplify database operations - The solution is quite dependable, as it includes several data-protection measures. Data loss is highly rare, with a dependability rating of nine out of ten.

Address all data consumer demands - Separate analytical workloads so that different types of data consumers – from business analysts to data scientists – can get what they need without fighting for resources.

Spotlight

NYU graduate student and DS12 resident Wenliang Zhao discusses the future of data science and the value of Scala and Spark.

Spotlight

NYU graduate student and DS12 resident Wenliang Zhao discusses the future of data science and the value of Scala and Spark.

Related News

BIG DATA MANAGEMENT, DATA SCIENCE, MACHINE LEARNING

Bitwise Introduces Data Platform Cloud Migration Suite at PASS Data Community Summit

Bitwise | November 17, 2022

Bitwise, a Chicago-based technology consulting and services company, introduces its Data Platform Cloud Migration Suite, an end-to-end set of services leveraging proprietary automation tools and frameworks to help enterprises accelerate migration of data warehouse and business intelligence to the cloud, at PASS Data Community Summit today in Seattle. Bitwise Data Platform Cloud Migration Suite addresses major challenges faced by data and analytics leaders seeking to take advantage of modern cloud-based data lake architectures and machine learning capabilities by automating the most difficult parts to migrate like legacy on-premise ETL, data objects and orchestration. To address these challenges, Bitwise combines its proven automation tools, utilities and frameworks with over 10 years of migration experience into dedicated practices for Data Migration, ETL Migration and BI Modernization with a complete migration methodology covering Assessment, Conversion, Validation and Implementation. "At Bitwise, automation is central to our thinking. There are many migration tools offered by the leading cloud providers, but from our experience, we have found certain gaps in providing a seamless migration solution. “Anytime we find a hole in the cloud-native offerings, we develop a tool or utility to fill it. As a result, we created a suite of accelerators to reduce the time, complexity, and cost of data platform cloud migration and adoption." Shahab Kamal, Chief Technology Officer at Bitwise Bitwise introduces its Data Platform Cloud Migration Suite at PASS Data Community Summit where it is an exhibiting sponsor. The event is one of the largest gathering of data platform professionals and hybrid conference with a global data audience, both online and in-person. “PASS Data Community Summit brings together a large audience of data professionals making it a natural fit for us to introduce our Data Platform Cloud Migration Suite,” says Ankur Gupta, Chief Executive Officer at Bitwise Inc. “We closely partner with Microsoft, a premier sponsor of the event, to provide a seamless solution to migrate to cloud-native services like Azure Data Factory and Synapse using our proprietary automation tools such as ETL Converter and Cloud Data Migration Tool.”

Read More

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Forsta unveils new CX predictive analytics capabilities

Forsta | November 01, 2022

Forsta, a leading global provider of market research, customer experience (CX) and employee experience (EX) technology, today announced at Web Summit that it will expand its capabilities to include predictive net promoter scores (pNPS) created in cooperation with the CX data specialists at GemSeek. Through this solution built on the Forsta Human Experience (HX) Platform, Forsta clients will now have access to cutting-edge analytics-powered predictions of “silent customers,” and those who don’t provide the direct feedback needed to determine NPS® or other customer experience metrics. This offering, which will enable deeper understanding of the experiences of each and every customer, will be available to Forsta clients beginning November 1. This announcement comes as Predictive NPS will be one of the key topics at a Web Summit Master Class in Lisbon, Portugal by Forsta on storytelling, predictive analytics and the human experience of data. Web Summit attendees can join in person on November 2 from 12:00 to 12:45 p.m. WET, in Room 4 near the Center Stage. Why Predictive NPS (pNPS)? Customer experience (CX) measurement traditionally relies on direct feedback responses that only come from a portion of the customer base. In certain cases where response rates are low or survey frequency doesn’t correspond to the dynamics of the business model, organizations become vulnerable to unexpected churn, lower satisfaction rates and poorer performance in general. “Silent customers,” who don’t respond to surveys or don’t submit feedback, can account for as much as 80% to 95% of a company’s entire customer base, according to different estimations. "To understand the full human experiences of their customers, companies need to look beyond customers’ direct interactions and verbatim feedback. “Smart analytics models like Forsta’s Predictive NPS allow companies to not only understand but predict and act upon customer needs. These capabilities will enable our clients to cater to their customer needs in a proactive and personalized fashion and optimize their CX approach for better business outcomes.” Giles Whiting, Chief Operating Officer and Managing Director at Forsta How does Predictive NPS (pNPS) work? Predictive NPS uses existing operational, customer and financial data as a source for an advanced machine learning model that assigns satisfaction scores to customers who don’t respond to surveys or give direct feedback about their experience. pNPS runs on a library of advanced data science models that assesses which of these additional data points have the highest potential to predict satisfaction, “looks” for similarities and patterns between respondents and non-respondents and as a result determines predicted scores for “silent” customers. Predictive NPS scores can be used to direct action towards customers at both a strategic and tactical level - to keep customers from churning, convert neutral customers to promoters, and upsell happy customers and prompt for referrals. The model combines behavioral data (CRM and demographics, usage, and more) and customer satisfaction data (survey responses) from across a customer base and employs advanced data science methodologies to identify which factors in customer behavior have the highest impact on customer experience. About Forsta Forsta powers the HX (Human Experience) Platform – a comprehensive experience and research technology platform that breaks down the silos between CX (Customer Experience), Employee Experience (EX), and Market Research – so that companies can get a deeper, more complete understanding of the experiences of their audiences. Forsta’s technology, combined with its team of expert consultants, helps thousands of organizations across a variety of industries, including financial services, hospitality, market research, professional services, retail, and technology. Forsta is recognized as a Leader in the 2021 Gartner® Magic Quadrant™ for Voice of the Customer. Forsta is a PG Forsta company. About GemSeek GemSeek is a CX specialist company that helps companies proactively address customer needs and reach the next level of CX. We use our insight and analytics products and services to prove impact and predict what will make the most difference. Our clients across sectors including telecommunications, healthcare, consumer, insurance & retail have seen customer acquisition, lifetime value and loyalty significantly increase.

Read More

BIG DATA MANAGEMENT,BUSINESS STRATEGY,DATA SCIENCE

Acceldata Announce the Launch of its Open Source Data Platform Version

Acceldata | January 02, 2023

Acceldata, the global leader in data observability, has recently announced introducing a new open-source version of its data platform, empowering enterprise data teams to innovate with cost-effective solutions for data observability. Several significant organizations from the fintech, telco, and data provider industries have already contributed to, validated, and utilized this platform. The open-source data platform provides reliable and community-validated versions of data observability libraries, as well as support for public, private, and hybrid settings, to address the evolving needs of the modern organization. Historically, enterprise data teams had limited alternatives for migrating to an open-source, community-based data platform. Acceldata's new open-source initiative consists of a data platform and six projects that are available to download for free under the Apache License Version 2.0. The data platform periodically synchronizes with open-source branches to verify conformance with the current code and new development. This enables the addition of new components as innovation in the community and industry evolves. The platform for open-source data offers the following community advantages: Deployment automation enables observability, manageability, and package management Flexibility in adopting technologies that provide on-demand services and elasticity in any environment Enable tenants to use and enhance services without affecting other tenants A platform that guarantees maintainability, consistency, and stability of components over change cycles About Acceldata Acceldata, situated in Campbell, California, was founded in 2018 and has created the world's first enterprise data observability cloud to assist organizations in developing and operating exceptional data products. Acceldata's solutions have been used by customers all over the world, including Oracle, PhonePe (Walmart), PubMatic, DBS, and many more. Insight Partners, Lightspeed Venture Partners, March Capital, Sorenson Ventures, and Emergent Ventures are among the Acceldata investors.

Read More