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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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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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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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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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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