Business Intelligence, Big Data Management

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

October 10, 2022

DataOS®: A Paradigm Shift in Data Management
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 However, outdated security and governance tools can prevent companies from freeing their data without opening themselves up to new risks.

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DataStorm Digital

DataStorm Digital focused on Big Data solutions, providing services and products that helps companies to get the most of their data, creating valuable insights as business advantages. Aiming to be the leader on Big Data solutions DSD has been driven by innovation, creating a unique set of process and techniques regarding data mining and analytics. Our services includes high complex analytics for banking, insurance, telecom and retail companies, such as: predictive churn, data richness and fraud analysis, as well as technology road-map and implementation, including: parallel processing with Hadoop and general MapReduce functions, querying with Hive, Pig, NoSQL implementations with MongoDB and Cassandra and interactive data visualization.

OTHER WHITEPAPERS
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Are Predictive Analytics Truly Predictive?

whitePaper | April 19, 2023

Unplanned downtime is one of the most significant pain points for industrial manufacturers today, costing them an estimated $50 billion each year. The risk is even greater for process manufacturing, where a critical equipment failure could result in the loss of an entire batch, environmental hazards, or safety risks. The adoption of digital technologies, such as the industrial internet of things (IIoT), promises to mitigate these threats by forecasting equipment failures and catching faults before they lead to unscheduled shutdowns. However, in practice, several challenges arise when maintenance personnel and operations leaders work to implement an IIoT solution aimed at eliminating unplanned downtime.

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Effective Data Management Is Essential for Taming the 5G Network Complexity Beast

whitePaper | September 26, 2022

Communications service provider (SP) traffic volumes are progressively increasing as networks evolve, user devices gain greater capacity, and applications engaging with advanced network data such as that from the 5G standalone (5G SA) network exposure function (NEF) start to deliver on customer expectations. Cloudification of network functions — virtualized network functions (VNFs) and cloud-native network functions (CNFs) — is placing new burdens on old systems and processes not designed to manage intent-based network architecture. Silos of data locked within many installed systems keep transformation efforts from reaching anticipated objectives.

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Enterprise analytics: Ideal vs. Reality

whitePaper | September 28, 2021

Read on to learn how the Cloudera Data Platform accelerates your on-premises data analytics operations in a manner reminiscent of the cloud, unlocking flexibility, scale, and power from your traditional, on-premises data center.

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Future of care: Patient-centricity with real-world predictive analytics

whitePaper | February 8, 2023

For centuries, patients have sought medical help for their ailments. Just as in the past, however, there are still many illnesses – both wellknown, widespread diseases and rare conditions – that initially cause few or inconclusive symptoms, and many patients leave the doctor’s office with an incorrect diagnosis. In addition, diseases may progress slowly or quickly depending on the individual.

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How to Accelerate Delivery of Your BI Strategy

whitePaper | July 1, 2022

Data is an extremely valuable asset in today’s world. After all, there are entire industries based on it. Because of this, it’s important to evangelize the value of data within your organization.

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Data Strategy in Connected Business Models

whitePaper | November 25, 2022

In our contemporary environment, data and inherent data strategies constitute vital sources in pursuing and developing customer-centric business models while supporting collaboration between different organizations in creating customer value.

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Spotlight

DataStorm Digital

DataStorm Digital focused on Big Data solutions, providing services and products that helps companies to get the most of their data, creating valuable insights as business advantages. Aiming to be the leader on Big Data solutions DSD has been driven by innovation, creating a unique set of process and techniques regarding data mining and analytics. Our services includes high complex analytics for banking, insurance, telecom and retail companies, such as: predictive churn, data richness and fraud analysis, as well as technology road-map and implementation, including: parallel processing with Hadoop and general MapReduce functions, querying with Hive, Pig, NoSQL implementations with MongoDB and Cassandra and interactive data visualization.

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