Dremio | September 15, 2023
Dremio, a renowned easy and open data lakehouse solution provider, has recently introduced its next-gen Reflections technology, marking a transformative milestone in SQL query acceleration. Dremio Reflections facilitate sub-second analytics performance across an organization's entire data ecosystem, irrespective of data location. This groundbreaking technology is redefining data access and analysis, ensuring that valuable insights are derived efficiently and swiftly, all while reducing costs to merely one-third of a typical cloud data warehouse.
Reflections represent Dremio's innovative SQL query acceleration technology. Queries that leverage Reflections exhibit performance gains ranging from 10 to 100 times faster than their non-accelerated counterparts. This latest release introduces the Dremio Reflection Recommender, a pioneering feature that empowers users to accelerate Business Intelligence workloads in a matter of seconds. The Reflection Recommender automatically evaluates an organization's SQL queries and generates recommended Reflections to accelerate them.
Tomer Shiran, founder of Dremio, commented,
Dremio Reflections accelerate SQL queries by orders of magnitude, eliminating the need for BI extracts/imports and enabling companies to run their most mission-critical BI workloads directly on a lakehouse. With automatic recommendations and next-generation incremental updates, we've made it even easier for organizations to take advantage of this innovative technology.
[Source: Business Wire]
Reflection Recommender eliminates the need for labor-intensive manual data and workload analysis, making the process of obtaining the fastest and most intelligent query results effortless, requiring only a few simple actions. The user-friendly nature of the Reflection Recommender puts advanced query acceleration capabilities within the reach of all users, significantly saving both time and expenses.
Dremio has also refined the process of refreshing Reflections to further bolster query performance and drive cost efficiencies. It now intelligently refreshes Reflections on Apache Iceberg tables, promptly capturing incremental data changes. This innovative approach obviates the requirement for complete data refreshes, resulting in speedier updates and reduced compute expenses.
Dremio Reflections eliminates the need for data teams to export data from the data lakehouse into BI extracts or imports for analytical reasons and overcomes performance bottlenecks for BI dashboards and reports. In addition, Reflections negate the necessity of creating precomputed tables within the data lake or data warehouse to achieve sub-second performance for BI workloads, reducing the workload and complexity for data teams.
Dremio is a leading, easy and open data lakehouse solution provider, offering organizations the versatility of self-service analytics coupled with the functionality of a data warehouse and the flexibility of a data lake. Dremio's platform empowers users to harness the lightning-fast SQL query service alongside various processing engines, all on the same dataset. The company distinguishes itself through a pioneering data-as-code methodology akin to Git, which facilitates data experimentation, version control, and governance. This innovative approach enhances agility and empowers organizations to explore and manage their data resources with unprecedented efficiency. Furthermore, Dremio offers a fully managed service that expedites organizations' entry into analytics, allowing them to commence their data-driven journey within minutes.
Big Data Management
PR Newswire | September 27, 2023
Congruity360, a leading unstructured data management and risk mitigation provider, announces the addition of data mobility in Enterprise Insights.
As unstructured data grows at the annual rate of 55% to 65% and accounts for more than 80% of all enterprise data, businesses must find a way to identify, classify and move data intelligently and automatically during its lifecycle. As enterprises grow, their valuable data must mature with their business. This may require a journey to the cloud, SLA changes which optimize storage costs, classification to mitigate risk, and moving the right data to additional key AI platform initiatives.
A simple, scalable, high-performance data classification engine, Enterprise Insights delivers next-generation data lifecycle management for storage optimization, security and risk optimization, and IT business optimization.
Enterprise Insights Approach to Successful Data Optimization:
Identify – Securely analyze PBs of unstructured data across on premises (NAS & object) and cloud (files/objects & SaaS) sources by harnessing the power of the platform's rapid insights and auto-discover technologies, which can reduce data identification times by 1,000%.
Classify – Quickly identify key client data attributes for cost savings, risk mitigation, and business impact with simple to consume dashboards and drill down capabilities.
Review – Confidently create and take actions by leveraging the comprehensive search engine to quickly find and preview data for movement without ever leaving the platform.
Remediate – Seamlessly take action (migrate and tier) on classified data to ensure it's properly protected, optimally stored, and most effectively serving the business.
Enterprise Insights offers three use case-driven insight analysis modules:
Storage and Migration Optimization – Insights into over 35 file data attributes including systems' aged, stale, obsolete, redundant, trivial, and types of systems files.
Business Optimization – Insight into and classification by business units' or cost centers' aged, stale, obsolete, redundant, trivial, and types of files.
Data Security and Risk Optimization – Insights into files containing PII and SPII, financial, legal, security, and risk data, as well as open shares and other network & storage security vulnerabilities.
By leveraging Enterprise Insights, clients can classify data for simple and secure migration both on premise and in the cloud. Equally important is Insights data tiering capabilities, enabling users to match data storage costs to data usage.
Powered by the Classify360 Platform, Enterprise Insights' secure hybrid approach to data analysis scales capabilities to exabyte levels at unmatched speed. Enterprise Insights is the industry's most powerful weapon to tackle the costs, time, and complexity of cloud migration projects, backup modernization, storage tiering, hardware refresh, and security posture management. By providing users with dashboards highlighting their existing storage costs and risks, Enterprise Insights frees clients from hidden, legacy, CapEx and OpEx expenditures, performance, and scalability bottlenecks while discovering and acting on sensitive and risk data.
Unstructured data insanity is treating all data equally with zero insights into its business impact, said Brian Davidson, Chief Executive Officer and Managing Partner of Congruity360. Enterprise Insights is the first step in implementing optimized data lifecycle management. With historically high data growth and new business uses for unstructured data, it is essential to attack the costs and risks inherent in unmanaged data. Our customers have realized 7-10x returns on their data lifecycle management implementations while reducing risk in an auditable compliance framework. As AI continues to gain steam, don't overpay by moving useless data to your expensive AI platforms.
The Classify360 Platform is comprehensive, simple to implement, scale, and operate. Businesses leverage the Classify360 Platform for unstructured data discovery, classification, business workflows, remediation actions, and insightful reporting. Congruity360 continues to tackle additional data governance challenges through innovations to the Classify360 Platform to continue delivering revolutionary data governance and classification, at scale, to the enterprise world.
Congruity360 delivers the only data life cycle management solution built on a foundation of classification, by expert data storage engineers alongside expert data privacy consultants. The Classify360 Platform is easy to implement, requires no outside consultants, and quickly analyzes your data at the petabyte scale in days, not weeks or months.
Big Data Management
iMerit | September 07, 2023
iMerit, a prominent player in the field of artificial intelligence (AI) data solutions, has unveiled its latest offering, the Radiology Annotation Product Suite. This innovative suite is designed to cater to the needs of medical AI developers by providing advanced automation, annotation, and analytics capabilities.
This new product suite is firmly rooted in iMerit's Ango Hub platform, an end-to-end enterprise-grade technology platform that is specifically tailored to deliver top-notch data annotation tools for AI development teams. Within this suite, a comprehensive range of solutions awaits, including data sourcing, workflow design, cutting-edge data annotation tools, and the invaluable input of human experts, all seamlessly integrated into a single platform. This unique fusion of iMerit's technological prowess and radiology expertise ensures a smooth journey from training data all the way to regulatory benchmarking.
A significant hurdle in radiology AI applications is the demand for specialized tools and insights from domain experts to ensure the necessary accuracy and precision in training data. For developers, the Radiology Annotation Product Suite offers a one-stop solution, combining automation, annotation tools, and analytics within a single platform, facilitating the creation of precise data pipelines essential for quick scaling radiology AI solutions into production.
Sina Bari MD, Senior Director of Medical AI at iMerit, explained that their suite aims to combine human expertise, data management, and automation in a single solution.
Notable features include
Customized workflows designed for Radiologists with consensus and multistep capabilities.
Diagnostic-level annotation accuracy with multiplanar functionality and 3D volume rendering.
Efficient annotation facilitated by smart automation tools and model integration.
Stringent data security and regulatory compliance, including CFR 21 Part 11, HIPAA, and SOC2.
This solution seamlessly integrates U.S. and offshore experts, including board-certified radiologists, all within a highly secure end-to-end platform, ensuring cost-effective scaling of annotation efforts.
Radha Basu, Founder and CEO of iMerit, emphasized the importance of their work, stating that they understand the challenges of developing AI applications and that their suite was built to scale data annotation efforts with high quality, accuracy, and speed.
iMerit is a prominent AI data solutions company specializing in data services such as dataset creation, image tagging, sentiment analysis, data verification, and content aggregation. It serves Fortune 500 enterprises in various industries and have a global presence, with headquarters in the United States and teams in India, the US, Bhutan, and Europe. iMerit's investors include Omidyar Network, Dell.org, Khosla Ventures, and British International Investment.
Airbyte | September 11, 2023
Airbyte, the leading open-source data movement platform, has announced a strategic integration with Datadog, Inc., a prominent cloud application monitoring and security platform. This integration offers customers a comprehensive solution to monitor and analyze data pipelines with access to nearly 50 metrics, all at no additional cost.
The integration between Airbyte Self-Managed and Datadog's data observability and security monitoring capabilities allows organizations to maintain a close watch on the health of their critical data pipelines. Key features of this integration include:
A centralized overview of Airbyte data pipeline performance
Real-time detection and immediate alerts for failing syncs or connections
Notifications regarding long-running jobs, which could indicate potential latency issues
Michel Tricot, CEO of Airbyte, emphasized the significance of this integration, stating,
The new Datadog integration provides transparency and actionable insights, empowering users to optimize performance and ensure reliable data pipelines by proactively addressing potential data issues.
[Source: Business Wire]
Yrieix Garnier, Vice President of Product at Datadog, further elaborated on the benefits, explaining,
Airbyte's data extraction and loading process involves numerous complex components. The integration with Datadog offers users peace of mind, enabling them to monitor data pipelines across their organization and troubleshoot any potential data integration workflow issues, ultimately ensuring data quality.
[Source: Business Wire]
This integration will be immediately available to users. Existing Datadog customers can configure their Airbyte deployments to send metrics to Datadog. For those not already using Datadog, a free trial is available. Similarly, users new to Airbyte can sign up for free.
Airbyte continues its commitment to delivering robust data integration and analysis solutions to organizations. The Datadog integration represents a significant milestone in Airbyte's mission to empower businesses with efficient data integration capabilities.
Airbyte simplifies data movement across various sources and destinations, making it accessible and cost-effective for enterprises. With the largest data engineering contributor community, boasting over 800 contributors as well as top-tier tools for connector development and maintenance, Airbyte remains at the forefront of the data integration landscape.
Founded in 2020, Airbyte is an open-source platform for EL (T) that enables data teams to replicate data from various sources to different destinations. The company, which has raised $181 million in funding, believes in the power of open source to address data integration challenges and offers over 200 connectors for data syncing. Currently, it serves over 25,000 companies.