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Senior Data Scientist - IT-Online

STARTING DATE: ASAP/Immediately
We are searching for a strategic and inquisitive Senior Data Scientist to develop and run data-centered projects. You will work as part of a multi-disciplinary team of analytics experts consulting on technology architecture and integration.
As a Senior Data Scientist, you will be required to plan data projects, building analytic systems and predictive models as well as proactively partner with the data engineering team to refine the data requirements and deliver raw data to data science teams for interpretation & analysis.
To succeed in this position; you need to be tech-savvy, up to date with data programming software and apps, have an outstanding understanding of statistics and mathematics, and be proficient in writing algorithms. ....

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New Study from Principled Technologies Shows k-means Clustering Performance from the Dell EMC PowerEdge R6525 Server with 3rd Gen AMD EPYC 75F3 Processors

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New Study from Principled Technologies Shows k-means Clustering Performance from the Dell EMC PowerEdge R6525 Server with 3rd Gen AMD EPYC 75F3 Processors
Principled Technologies (PT) demonstrated that the Dell EMC PowerEdge R6525 server with 3rd Gen AMD EPYC 75F3 processors analyzed data in less time, handled more data per hour, and delivered a better performance-per-dollar ratio than the same server with 2nd Gen AMD EPYC 7542 processors.
Durham, NC, May 11, 2021 (PR.com) For organizations that use k-means clustering to analyze data, hardware that can quickly process this data could deliver actionable information sooner, equipping decision-makers with valuable insight. PT used a k-means clustering workload targeting an Apache Spark database to test a Dell EMC PowerEdge R6525 server in two configurations: one with 3rd Gen AMD EPYC 75F3 processors and one with 2nd Gen AMD EPYC 7542 processors. Their results indicate that the Dell EMC PowerEdge server with ....

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Aerospike adds set indexing and SQL expressions to make the distributed NoSQL database more ML-friendly

New Spark 3.0 connector will appeal to users too, analyst says
Lindsay Clark
Wed 5 May 2021 // 18:10 UTC
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Distributed NoSQL database Aerospike is introducing set indexes and SQL operations within expressions in the pursuit of greater machine learning efficiency via its Apache Spark 3.0 connector.
Speaking to
The Register, chief product officer Srini Srinivasan claimed the combined tweaks could help reduce the feedback cycle to improve ML models from days to hours.
A key-value and multi-modal database, Aerospike can run on the edge to support so-called real-time decisions based on pre-existing ML models in applications such as fraud detection. It is also used to feed data back into the ML model management commonly used by data pipeline platform Apache Spark to ensure models reflect changes to data patterns in the real world. ....

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AWS announces Amazon FinSpace for analyzing financial data

AWS announces Amazon FinSpace for analyzing financial data
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Amazon Web Services Inc. is targeting financial analysts with a new, purpose-built data analytics tool that it says will enable them to perform their jobs much more effectively than before.
Amazon FinSpace is a new service announced today that works by aggregating, cataloging and then tagging data from a range of different sources, making it more easily searchable by anyone within the customer’s organization.
The tool is designed for analysts at hedge funds, asset management firms, insurance companies and the like. It gives them an easy way to perform analytics on demand across all of the data they have access too, including internal sources such as their portfolio management systems, order management systems and execution management systems, and also third-party data feeds such as high-volume historical equities pricing data, employment figures and earnings reports. ....

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AWS launches FinSpace analytics service for FS firms

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AWS launches FinSpace analytics service for FS firms
04 May 2021
Source: Amazon Web Services
Today, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ:AMZN), announced Amazon FinSpace, a purpose-built analytics service that reduces the time it takes FSI organizations to find, prepare, and analyze financial data from months to minutes.
Amazon FinSpace aggregates, catalogs, and tags data across an organization’s data silos, making the data easily searchable by the entire organization. The service includes a purpose-built managed Apache Spark analytics engine that contains over 100 data transformations commonly used in the capital markets industry to prepare data for analytics at petabyte scale. To make it easier for FSI organizations to meet their c ....

Thomas Olunloyo , Jojy Mathew , Deloitte Consulting , Financial Services Technology , Deloitte Financial Services Data , Amazon Finspace , Apache Spark , Bollinger Bands , Exponential Moving Averages , Average True Range , Application Programming Interface , Jupyter Notebooks , Saman Michael Far , General Reinsurance , General Group , Financial Services Data , Analytics Leader , டெலோய்ட்டே ஆலோசனை , நிதி சேவைகள் தொழில்நுட்பம் , அப்பாச்சி தீப்பொறி , பொலிங்கர் பட்டைகள் , விண்ணப்பம் ப்ரோக்ராமிஂக் இடைமுகம் , ஜநரல் மறுகாப்பீடு , ஜநரல் குழு , நிதி சேவைகள் தகவல்கள் , பகுப்பாய்வு தலைவர் ,