Howard Bank Selects KlariVis Data Analytics Software platform to Access Transformative Data

KlariVis | August 28, 2020

KlariVis, a unique and proprietary data analytics software platform developed by bankers for bankers, announced that Baltimore, Md.-based Howard Bank selected KlariVis to access transformative data enabling greater insight into customer, market, branch, officer and product information. The bank with $2.5 billion in assets, operates 15 branches throughout the greater Baltimore Metropolitan area.

Spotlight

The concept of a data lake is emerging as a popular way to organize and build the next generation of systems to master new big data challenges.It is not Apache™ Hadoop® but the power of data that is expanding our view of analytical ecosystems to integrate existing and new data into what Gartner calls a logical data warehouse. As an important component of this logical data warehouse, companies are seeking to create data lakes because they manage and use data with increased volume, variety, and a velocity rarely seen in the past.


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BIG DATA MANAGEMENT

DataCore Software and Atempo Combine Forces in New Active Archive Solution

DataCore | April 25, 2022

DataCore Software, the authority on software-defined storage, and Atempo, Data Protection and Data Management independent software vendor, are announcing today the integration of Atempo Miria Data Management platform with DataCore Swarm object storage software. "Miria's new WORM capabilities for long-term archive now takes full advantage of the S3-compatible API and immutability options in DataCore Swarm, enabling granular time navigation through simple retrieval of multiple files at a given point in time." stated Louis Laszlo, Director of Product Management at Atempo. "It offers highly flexible configurations, high availability, and unmatched performance while reducing enterprise storage costs." Organizations are primarily using Atempo Miria and DataCore Swarm for active archive, preserving large volumes of multimedia files, like videos, so they can be quickly retrieved in full, or partially restored on-demand as short clips directly from Media Asset Managers (MAM) or from Miria's Web interface. Additionally, the joint solution can be used to cost-effectively archive large dataset volumes while uncluttering expensive high-performance shared storage required for post-production work. Miria's new capabilities make it very easy to store important files for long-term retention leveraging Swarm's WORM/immutability options to prevent ransomware, tampering or unintentional deletion. "Customers favor the combination of Miria and Swarm for their active archive workflows for several reasons, including the open approach for managing and storing metadata with each object, the scalability of the joined solution as well as the high performances delivered. They benefit from a flexible and massively scalable archive where content is immediately accessible to users and workflows. Both solution elements have an extensive track record for addressing customers' challenges in rapidly scaling media library or sharing content between remote sites." Ben Watson, Technical Director, Product Management for DataCore The combined solution consists of Miria, the agile data management platform that leverages the highly flexible Swarm software-defined object storage, to simplify storage management and reduce costs, both of which are very important to organizations facing tight IT budgets and resources. DataCore and Atempo teams are present at the 2022 edition of the NAB Show on booth #N431 for Atempo and booth #N7035 for DataCore. About DataCore DataCore Software delivers the industry's most flexible, intelligent, and powerful software-defined storage solutions for block, file and object storage, helping more than 10,000 customers worldwide modernize how they store, protect, and access data. The company's comprehensive product suite, intellectual property portfolio, and its unrivaled experience in storage virtualization and advanced data services, position DataCore as the authority on software-defined storage. About Atempo Atempo is a leading independent European-based software vendor with an established global presence providing solutions to protect, store, move and recover all mission-critical data sets for thousands of companies worldwide. With over 30 years' experience in data protection and data management, Atempo offers a portfolio enabling medium to large scale organization to tackle their core IT data protection challenges in addition on solving the new modern File Data Management fueling exabytes data pipelines in the digital economy.

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DATA ARCHITECTURE

Alluxio Expands Data Access and Security for Data-driven Applications in Heterogeneous Environments with v2.8 Release

Alluxio | May 05, 2022

Alluxio, the developer of the open source data orchestration platform for data driven workloads such as large-scale analytics and AI/ML, today announced the immediate availability of version 2.8 of its Data Orchestration Platform. This new release features enhanced interface support for the Amazon S3 REST API; security improvements for sensitive applications with strict encryption compliance and regulatory requirements; and strengthened automated data movement functionality across heterogeneous storage systems without the need to manually move or copy the data. Alluxio 2.8 enhances S3 API compatibility, so onboarding and managing Alluxio on existing large data pipelines becomes much easier. As a major enhancement to enterprise-grade security, Alluxio 2.8 adds features to support server-side encryption capabilities for securing and governing data. Data migration is a major challenge for organizations having data stored cross-vendors, cross-clouds, or cross-regions. Alluxio 2.8 improves reliability of data movement across heterogeneous storage systems with enhanced usability of policy-based data management and high availability. “At Uber, we run Alluxio to accelerate all sorts of business-critical analytics queries at a large scale,” said Chen Liang, Senior Software Engineer, Uber’s interactive analytics team. “Alluxio provides consistent performance in our big data processing use cases. As compute-storage separation continues to be the trend along with containerization in big data, we believe a unified layer that bridges the compute and storage like Alluxio will continue to play a key role.” “The support for S3 API is significant, making Alluxio much more accessible to a huge number of customers. Together, our rich set of S3, HDFS and POSIX APIs enables true storage-agnostic and multi-cloud deployments. The data migration capabilities further eliminate vendor lock-in and provide organizations with the flexibility to choose whatever they want to run their applications or store their data.” Adit Madan, Director of Product Management, Alluxio Alluxio 2.8 Community and Enterprise Edition features new capabilities, including: Enhanced S3 API with Metadata Tagging Alluxio 2.8 enhances the support for the S3 RESTful API with metadata tagging capabilities. With S3 API, applications can communicate with Alluxio without a custom driver or any additional configuration. By using S3 API, data-driven applications, end-users, and admins can seamlessly and rapidly onboard Alluxio for new uses. Metadata operations can be achieved through the S3 object and bucket tagging APIs. Data Encryption for Enterprise-grade Security The Enterprise Edition of Alluxio 2.8 supports encryption of data in Alluxio managed storage at REST as an essential security feature. In conjunction with SSL, this new feature supports server-side encryption, ensuring data security. Alluxio now offers multiple encryption zones for data it manages to meet the demands of security. Data stored on the Alluxio worker is protected, and decrypted on the server before being sent to a client. Data Movement Across Heterogeneous Storage Systems Alluxio 2.8 Enterprise Edition also improves the policy-based data management features, which facilitate data access and movement between heterogeneous storage systems for better performance and lower cost. Alluxio manages data placement between the different storage systems with predefined policies. With transparent storage options, organizations can choose whichever storage best suits their needs without undergoing complex manual data migrations. About Alluxio Proven at global web scale in production for modern data services, Alluxio is the developer of open source data orchestration software for the cloud. Alluxio moves data closer to data analytics and machine learning compute frameworks in any cloud across clusters, regions, and clouds, providing memory-speed data access to files and objects. Intelligent data tiering and caching deliver greater performance and reliability to customers in financial services, high tech, retail and telecommunications. Alluxio is in production use today at eight out of the top ten internet companies. Venture-backed by Andreessen Horowitz, Seven Seas Partners, Volcanic Ventures, and Hillhouse Capital. Alluxio was founded at UC Berkeley’s AMPLab by the creators of the Tachyon open source project.

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BIG DATA MANAGEMENT

ListenFirst Announces BI Connector For Tableau

ListenFirst | January 13, 2022

ListenFirst, the premier enterprise social analytics solution, today announced the launch of BI Connector for Tableau, providing their customers with an interface to connect directly to the ListenFirst API and access data on-demand within their Tableau dashboard. This new feature introduces codeless integration and enables ListenFirst customers to tell a multitude of stories by manipulating and layering different insights within Tableau's 24 visualization types and reporting customizations. Available in Tableau's app directory, ListenFirst's BI Connector for Tableau creates a quicker, more seamless way to get bulk selection of data without needing frontend access. Reporting cycles are readily available in Tableau by utilizing dynamic date ranges to automatically refresh the latest insights in the desired date range and parameters. "More than half of ListenFirst API customers use Tableau, and BI Connector For Tableau creates a quick path to insights for these data power users," explained Jimmy Li, Product Manager at ListenFirst. "Users can now effortlessly conduct cross data source analysis, on-demand reporting, advanced charting, and data visualization. Additionally, insights can be published side by side with other data points from non-ListenFirst sources, simplifying complex stories into insights that are instantly understandable." Optimized for self service, BI Connector for Tableau supports flexible data queries for brand, content and paid level datasets. About ListenFirst ListenFirst is the premier social analytics solution used by the world's leading brands. With a breadth of data and award-winning expertise unmatched in the market, we offer an easy, one-stop solution to optimize social media marketing and maximize ROI. ListenFirst has been honored with multiple accolades including a 2020 SIIA CODiE Award for Best Emerging Technology, 2020 Cynopsis AdTech Award for Outstanding Data Solution, 2022 High Performer recognition from G2 Crowd, MarTech Breakthrough Award for Best Social Media Monitoring Software, and named one of Inc. 500's fastest growing companies. Founded in 2012, ListenFirst is trusted by leading global brands including AT&T, Amazon, NBCUniversal, and Peloton.

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BIG DATA MANAGEMENT

HCL Technologies Acquires Hungarian Data Engineering Services Company Starschema

HCL Technologies | January 17, 2022

HCL Technologies (HCL), a leading global technology company, signed a definitive agreement for the acquisition of Starschema, a leading provider of data engineering services, based in Budapest, Hungary. The strategic acquisition will bolster HCL’s capability in digital engineering -- driven by data engineering -- and increase its presence in Central and Eastern Europe. Starschema provides consulting, technology and managed services in data engineering to Global 2000 companies in the U.S. and Europe. The acquisition combines Starschema’s high-value capabilities and data-focused expertise with HCL’s existing presence in industry segments undergoing data-driven transformation. In addition, HCL will strengthen its position in data engineering, which is an integral part of the company’s digital engineering capabilities and next-generation offerings. “Joining HCL will enable us to keep our strategic focus and expand our data engineering capacity to provide a greater breadth and depth of services to clients. As part of HCL’s full spectrum of technology services, we will leverage our expertise in data engineering and emerging data technologies to solve companies’ data challenges, through building fast, scalable solutions that make people more effective and companies more profitable. This strategic move also represents exemplary career growth opportunities for our people.” Tamas Foldi, Founder and CEO, Starschema “Starschema will strengthen our data engineering capabilities, providing us with the ability to leverage its solutions and talent in Central and Eastern Europe,” said Vijay Guntur, President, Engineering and R&D Services, HCL Technologies. “Starschema’s capabilities will further scale HCL’s data engineering competencies at our integrated delivery centers across the world. Engineering talent will continue to remain in high demand, and Starschema offers a specialized talent pool in a strategic growth area for HCL. Following the acquisition, HCL will be able to offer data engineering consulting and near-shore access to digital engineering services to a wide base of clients.” The transaction is subject to regulatory clearance from the Hungarian Ministry of Innovation and Technology and is expected to close in March 2022.

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Spotlight

The concept of a data lake is emerging as a popular way to organize and build the next generation of systems to master new big data challenges.It is not Apache™ Hadoop® but the power of data that is expanding our view of analytical ecosystems to integrate existing and new data into what Gartner calls a logical data warehouse. As an important component of this logical data warehouse, companies are seeking to create data lakes because they manage and use data with increased volume, variety, and a velocity rarely seen in the past.

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