Analytics Vidhya
DECEMBER 15, 2020
Overview Here is a list of Top 15 Datasets for 2020 that we feel every data scientist should practice on The article contains 5. The post Top 15 Open-Source Datasets of 2020 that every Data Scientist Should add to their Portfolio! appeared first on Analytics Vidhya.
Cloudera
DECEMBER 15, 2020
It is crucial for organizations to focus on supporting the new way of work, enhancing productivity, and improving cost efficiency to ensure business survival in the post-pandemic world. However, those that are overly focused on these short-term goals risk losing sight of what’s truly important. As shared in my previous post , diverse teams can help organizations unlock innovations that allow them to adapt to market changes quickly and drive business growth.
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Analytics Vidhya
DECEMBER 15, 2020
This article was published as a part of the Data Science Blogathon. “In this rushing world, Don’t Do hard work, it’s better to do. The post Web Scraping Using Cypress Tool! appeared first on Analytics Vidhya.
Juice Analytics
DECEMBER 15, 2020
We designed Juicebox to be the easiest way to present your data. It offers the power and flexibility to create data stories that combine exploration while emphasizing your message. But sometimes you just need to share something simple — like a scatterplot visualization and details table. I want to show you how easy that is to do in Juicebox. This video tutorial will take you through the process of creating a simple Juicebox app in less than 5 minutes.
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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.
Analytics Vidhya
DECEMBER 15, 2020
This article was published as a part of the Data Science Blogathon. INTRODUCTION The purpose of data visualization is insight, not pictures ?Ben Shneiderman. The post Exploring the Tale of Music Through Data Visualization appeared first on Analytics Vidhya.
DataCamp
DECEMBER 15, 2020
How Felix Ayoola, a student and graphic designer in Nigeria, helped over 1,500 learners get free access to data skills training.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
TDAN
DECEMBER 15, 2020
Weinberg’s Second Law: If builders built buildings the way programmers wrote programs, then the first woodpecker that came along would destroy civilization.[1] Introduction Opportunity While most people don’t think about it very often, common language is essential to day-in, day-out commerce. Companies and others[2] employ standards to ensure that a meter is the same length world-wide, calendars ensure […].
Jen Stirrup
DECEMBER 15, 2020
In my first Team Leader role over a decade ago, I inherited a team of young men from India who were in the UK on a contract. In our Friday standup at the end of the first week, one of the young men asked me what they should do at the weekend because they were expected to work 7 days a week. At first, I insisted that they should not work until Monday, until one of the team admitted that his boss might give him into trouble if he did not work over the weekend.
TDAN
DECEMBER 15, 2020
In past months, we’ve looked at how our data gathering and analyzing processes skew our cars, medical systems, and many more things to work primarily for men. Following all of this talk about data’s gender gap, what can we do to begin righting its wrongs? There is no one-stop easy answer, rather a laundry list […].
Dataiku
DECEMBER 15, 2020
As we look to close the book on 2020, we’re reflecting on trends that happened (and didn’t), what will be hot in AI in 2021, and the year we had internally at Dataiku. Back on March 12, our CEO Florian Douetteau said, “We are privileged. We work in tech, in a booming and strategic sector, in a fast-growing company … This privilege comes with some benefits and duties.
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.
TDAN
DECEMBER 15, 2020
In a traditional business model, core business assets included property, equipment, inventory, and cash. The tangible things we understand as having value. As we transitioned from an industrial revolution to a technological one, however, there was a new asset introduced that has been harder to qualify: data. According to The Big Data and AI Executive Survey […].
Tim Mitchell
DECEMBER 15, 2020
If data is a train, then metadata is the track on which it travels. A good metadata definition in ETL processes will help to ensure that the flow of the data is predictable, robust, and is properly constrained to avoid errors. However, many ETL processes take a hands-off approach when it comes to metadata. In some cases, this laissez-faire design. The post ETL Antipattern: Lazy Metadata appeared first on Tim Mitchell.
TDAN
DECEMBER 15, 2020
COVID-19 changed how organizations interact with their workforce and customers. It also extended the reach and tested the boundaries of shared data and complicated the control and governance of information. Consumers now make appointments, stream movies, visit doctors, and order meals and groceries, more frequently via online or mobile devices with little understanding of where […].
BI-Survey
DECEMBER 15, 2020
H aving laid out the analytical formats companies currently have in place, we now turn to the aspects of analytical landscapes that require attention in order to deliver the information needed to enable sustainable success. The most important problem currently appears to be the time needed to adapt to changes in requirements coming from either the evolution of businesses over time or from changes in source systems.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
TDAN
DECEMBER 15, 2020
It’s reasonable today to say that a business doesn’t have much of a chance at success without a strong data operation. On the other hand, however, it’s a mistake to assume that this means every business needs to spend heavily on advanced technology relating to data collection. Rather, it comes down to good management. Inc.’s […].
Teradata
DECEMBER 15, 2020
Data & analytics only have real value when they are used to improve performance by reducing costs, increasing customer satisfaction or driving new growth. Read more.
TDAN
DECEMBER 15, 2020
I got yelled at this month. Well, sternly-worded texts, anyway – it’s the 2020 version of being yelled at. As the pandemic raged on, and my day job got ever busier, my focus was on other areas and I completely missed my deadline. It was entirely my fault, even if the Pavlovian reminder I was […].
Cloudera
DECEMBER 15, 2020
Across nearly every sector working with complex data, Spark has quickly become the de-facto distributed computing framework for teams across the data and analytics lifecycle. One of most awaited features of Spark 3.0 is the new Adaptive Query Execution framework (AQE), which fixes the issues that have plagued a lot of Spark SQL workloads. Those were documented in early 2018 in this blog from a mixed Intel and Baidu team.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
Smart Data Collective
DECEMBER 15, 2020
Big data has had a tremendous impact on the financial industry. One of the biggest financial applications of new data technology involves stock trading. You can significantly increase the profitability of your trades by investing in top-of-the-line analytics technology. How Can Data Analytics Assist with Stock Trading. Trading is an interesting and exciting endeavor, offering the best excuse to engage with the markets in a meaningful way.
Cloudera
DECEMBER 15, 2020
We’re excited to share that after adding ANSI SQL, secondary indices, star schema, and view capabilities to Cloudera’s Operational Database , we will be introducing distributed transaction support in the coming months. . What is ACID? The ACID model of database design is one of the most important concepts in databases. ACID stands for atomicity, consistency, isolation, and durability.
Sisense
DECEMBER 15, 2020
Blog. We’re stronger when we work together. In our Partner Showcase , we highlight the amazing integrations, joint projects, and new functionalities created and sustained by working with our technology partners at companies like AWS, Google, and others. . Business teams constantly want to know how their companies are performing — against their internal goals and those of the market they compete in.
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