Mon.Sep 21, 2020

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5 Popular NoSQL Databases Every Data Science Professional Should Know About

Analytics Vidhya

Overview NoSQL databases are ubiquitous in the industry – a data scientist is expected to be familiar with these databases Here, we will see. The post 5 Popular NoSQL Databases Every Data Science Professional Should Know About appeared first on Analytics Vidhya.

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Gartner’s predictions for the post-COVID future of work - Partnered content with Zendesk

Corinium

COVID-19 has affected workplaces everywhere, the impacts of which could greatly alter how different organizations will approach the way they do business. The need to identify and prepare for a shift in operations and strategic goals is incredibly important. Organisations that respond efficiently can have a major role in establishing their companies as top competitors within their respective industries.

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How Leading Businesses Organize and Make Sense of Data

Smart Data Collective

Two or three decades ago, gathering data was the biggest challenge businesses faced. Leaders craved more information and access. Today, these same companies are drowning in data. The challenge of today is organizing and making sense of the data. 4 Tips to Help You Make Sense of Your Data. With so much emphasis on collecting and accessing data, it’s easy to become so paralyzed by information that you fail to do anything with it.

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BI Is Dead; Long Live BI

Boris Evelson

The perception of legacy enterprise business intelligence (BI) platforms comes with some legitimate stigma and baggage. It’s technology first, not business-led; the graphical user interface (GUI)-based user experience (UX) doesn’t address ease of use for all business decision-makers; there are too many underutilized reports and dashboards floating around in the enterprise; and signals produced by […].

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Five Steps Towards Delivering Better Analytic Outcomes

Teradata

Get tips on how to cast a more critical eye on the seemingly endless amount of data-driven conclusions presented to us. Learn more.

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Equipping Petroleum Engineers in Calgary With Critical Data Skills

DataCamp

DataCamp supported the 2020 DUC Datathon presented by the Society of Petroleum Engineers and Untapped Energy.

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7 Questions for Lutz Jannausch, Head of Business Applications, One Commercial Partner Group at Microsoft Germany

Jedox

Power BI enjoys great popularity and has grown to become one of the stars in the Microsoft cosmos alongside the familiar applications from Microsoft Office such as Word, Excel, and PowerPoint. In July of this year, the software solution celebrated its fifth anniversary and Microsoft was named a leading provider for the 13th time in a row in the Gartner 2020 Magic Quadrant for Analytics and Business Intelligence Platforms.

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The Automated Data Dictionary: A Must-Have for Every Organization

Octopai

A crucial part of every company’s business intelligence (BI) is its data dictionary. When you have a well-structured data dictionary, you provide BI teams with an easy way to track and manage metadata throughout the entire enterprise. The following is a common point of contention for many analysts: What makes a good data dictionary and how can it actually streamline your BI team’s workflow?

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BI Is Dead; Long Live BI

Boris Evelson

Enterprise BI is not dead, It's alive and thriving. But there are changes ahead. Learn about five of them here.

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Aligning People, Processes, and Technology Is a Matter of Time

Dataiku

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Cloudera Data Platform in AWS Marketplace Simplifies and Accelerates Cloud Adoption

Cloudera

As organizations look to optimize the speed and cost of their cloud journey in today’s rapidly evolving economy, Cloudera is delighted to announce the availability of Cloudera Data Platform (CDP) Public Cloud in AWS Marketplace. Now customers can easily, confidently and cost-effectively discover, procure and deploy the world’s first Enterprise Data Cloud, powered by AWS, for faster time-to-insight from their advanced analytics and machine learning services.

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4 Ways Big Data Systems Are Informing The Fight Against COVID-19

Smart Data Collective

We learn something new about the COVID-19 pandemic every day. This is a credit to brilliant scientists, epidemiologists, and public health experts around the world, but these professionals wouldn’t be able to do their jobs without big data systems. In fact, big data systems, which have already proven to be the most significant intervention in 21st century healthcare , represent our greatest hope of driving back COVID-19 infections and quickly developing an effective vaccine.

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