AI-POWERED DATA OPERATIONS FOR MODERN DATA APPLICATIONS

January 15, 2019

Today, more than 10,000 enterprise businesses worldwide use a complex stack composed of a combination of distributed systems like Spark, Kafka, Hadoop, NoSQL databases, and SQL access technologies. At Unravel, we have worked with many of these businesses across all major industries. These customers are deploying modern data applications in their data centers, in private cloud deployments, in public cloud deployments, and in hybrid combinations of these. Big data programs often stem from the needs and activities of BI teams and activities in the enterprise. For big data BI, massively parallel processing (MPP) SQL systems like Impala, Presto, LLAP, Drill, BigQuery, RedShift, or Azure SQL DW are added to the stack; sometimes alongside incumbent MPP SQL systems like Teradata and Vertica. Compared to traditional MPP systems, newer solutions have been created to deal with data stored in different distributed storage systems like HDFS, Amazon S3, and Microsoft Azure Blob Storage (ABS). These systems power the interactive SQL queries common to business intelligence workloads.

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Waterline Data

Waterline Data connects the right people to the right data. Waterline’s software solutions automatically discover, organize, catalog and raise trusted data above the waterline so users can easily.

OTHER WHITEPAPERS
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Enhancing data mesh: How distributed ledger solutions empower decentralized governance

whitePaper | June 27, 2023

Data mesh is an innovative approach to data management that offers a solution to the most common challenges organizations face when dealing with large-scale data management. Data mesh concept consists of four key principles for large-scale data management in a multi-tiered, multi-domain organizational structure: domainoriented ownership, data as product, federated computational governance and a self-service data platform. These all promote a more agile, efficient and scalable data architecture. However, one of the central challenges to implementing data mesh is designing decentralized governance mechanisms that align with its core principles.

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DataOS®: A Paradigm Shift in Data Management – Creating Scalable Analytics

whitePaper | October 10, 2022

Companies undergoing digital transformation must make data available to all stakeholders. However, outdated security and governance tools can prevent companies from freeing their data without opening themselves up to new risks.

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Replanteamiento del acceso a las aplicaciones gestión de una fuerza laboral moderna

whitePaper | February 26, 2020

El cambio de paradigma que se está extendiendo por el ámbito tecnológico y empresarial es cada día más evidente. La transición a cloud computing está llegando a su punto de inflexión. Las fusiones y adquisiciones han proliferado. Además, con un número cada vez mayor de usuarios finales que operan fuera del entorno empresarial, los departamentos de TI deben prestar servicio a un ecosistema de usuarios cada vez más diverso, distribuido y exigente

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Drive Analytic Innovation Through SAS and Open Source Integration

whitePaper | May 27, 2021

In many organizations, we need more collaboration between businesses, analytic teams, application developers and IT operations. These teams often work with data in silos and end up duplicating efforts, failing to integrate, or missing opportunities to deliver value from data. In addition to siloed efforts, data scientists are also faced with ever-increasing volumes and speeds of data. And the reality is they’re expected to answer questions just as fast as - or faster than - before. It’s important that we’re using the right data and the right techniques to ensure optimal outcomes. Download this guide to learn more about SAS and open source.

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Why Graph is Key to The Modern Master Data Management Movement

whitePaper | August 1, 2022

The Graph database is fundamental to driving a much-needed breakthrough in the world of Master Data Management (MDM). Until now, traditional MDM systems have imposed strict rules and structures on how these projects are managed. This has cost enterprises dearly in terms of wasted time and resources and has been a major contributory factor to the failure of many MDM initiatives. Graph has changed all of that, allowing modern MDM platforms to completely redefine how master data is prepared for insight and used to deliver tangible business outcomes.

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Cisco HyperFlex HX Data Platform

whitePaper | September 23, 2022

The Cisco HyperFlex™ HX Data Platform revolutionizes data storage for hyperconverged infrastructure deployments and makes Cisco HyperFlex Systems ready for your enterprise applications—whether they run in virtualized environments such as Microsoft Windows 2016 Hyper-V or VMware vSphere, in containerized applications using Docker and Kubernetes, or in your private or public cloud. Learn about the platform’s architecture and software-defined storage approach and how you can use it to eliminate the storage silos that complicate your data center.

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Spotlight

Waterline Data

Waterline Data connects the right people to the right data. Waterline’s software solutions automatically discover, organize, catalog and raise trusted data above the waterline so users can easily.

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