Bringing the Power of SAS to Hadoop

Hadoop has a large community of supporters. In 2009, Yahoo made available the source code for its production version of Hadoop, which allows for innovation by partners and customers. Yahoo developers continue to improve the software, and then release the patch source code for the benefit of the developer community.

Spotlight

CodiLime

CodiLime is a Big Data Science and Machine Learning company established in Poland and the United States by the brightest minds among European and global experts in computer science and maths. The company has grown rapidly since it was established in 2011. Our success is driven by an outstanding team of winners. We are proud that all of our software engineers and data scientists’ academic credentials include the world’s most renowned technical universities (University of Oxford, Carnegie Mellon University, New York University, University of Warsaw, etc.). We believe that experience is the best teacher, therefore, most of our talented team members have also gained an invaluable professional track record in Silicon Valley working for leading global IT companies such as Google, Facebook or Microsoft; as well as global investment banks such as Goldman Sachs, Bank of America Merrill Lynch and UBS – a versatile combination that enables CodiLime to achieve virtually any technical and business

OTHER WHITEPAPERS
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Targeted Attack Analytics

whitePaper | December 16, 2019

Symantec combines targeted attack analytics with research from our Attack Investigator Team (AIT) to find advanced attacks; our analytics evolve to match new attack patterns. Breach detection is one example of how our analytics help stop deliberate incursions.

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A Modern Approach to Data Sourcing & Optimization

whitePaper | March 3, 2023

In today’s world, data is king and has become a major source of competitive differentiation for businesses across all industries. The COVID-19 pandemic has further accelerated the use and importance of data as the world’s governments and businesses adapted.

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The Ugly Truth About Data Management & the Journey to Unleashing the Economic Value of Data

whitePaper | August 22, 2022

The Ugly Truth About Data Management and the Journey to Unleashing the Economic Value of Data explores the often overlooked truth about managing data in the digital era and the shifts in perspective and practice required to unleash the true, economic value of data.

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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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Data Analytics Integrity Challenges to Implementation of the Automated Data Collection Processes

whitePaper | March 12, 2020

In recent months, my company (Baron Consulting) has been proactively involved in setting up Data Collection Systems for a range of Private and Public Organisations we are servicing. Some of the data collection challenges have already been discussed in our recent Raw Data Collection 2020: Principles and Challenges White Paper. While the RDC (Raw Data Collection) paper analysed the current state of the everchanging Data Collection requirements, it did not have the scope to address technicalities of the RDC processes along with the specific Data Collection tools and methods. The purpose of this paper is to fill the void by looking into implementation of the automated data collection processes.

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6 best practices for cloud data integration

whitePaper | September 1, 2022

Organizations often adopt a hybrid cloud strategy when deploying their first analytical solution to the cloud. The cloud combines sheer infinite scalability with consumption-based pricing. These are desirable attributes for analytical environments that require scalability and can be very expensive when scaled for maximum capacity over an extended period.

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Spotlight

CodiLime

CodiLime is a Big Data Science and Machine Learning company established in Poland and the United States by the brightest minds among European and global experts in computer science and maths. The company has grown rapidly since it was established in 2011. Our success is driven by an outstanding team of winners. We are proud that all of our software engineers and data scientists’ academic credentials include the world’s most renowned technical universities (University of Oxford, Carnegie Mellon University, New York University, University of Warsaw, etc.). We believe that experience is the best teacher, therefore, most of our talented team members have also gained an invaluable professional track record in Silicon Valley working for leading global IT companies such as Google, Facebook or Microsoft; as well as global investment banks such as Goldman Sachs, Bank of America Merrill Lynch and UBS – a versatile combination that enables CodiLime to achieve virtually any technical and business

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