David Menninger's Analyst Perspectives

NOVEMBER 13, 2020

A data lake is a centralized repository designed to house big data in structured, semi-structured and unstructured form. I have been covering the data lake topic for several years and encourage you to check out an earlier perspective called Data Lakes: Safe Way to Swim in Big Data? for background. Our data lake research has uncovered some points to consider in your efforts, and I’d like to offer a deeper dive into our findings.

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Data Lake Big Data Data Governance Technology 352

Smart Data Collective

NOVEMBER 12, 2020

In an age where data plays a fundamental role in every aspect of our lives, it’s relatively simple to find the answers that we need. You can conduct a Google query and you’ll quickly find thousands of helpful webpages, YouTube videos, and blogs dealing with the issue. Big data has made it possible to store information on virtually everything. Unfortunately, the growing reliance on big data hasn’t come without a cost.

Big Data 141

Big Data Consulting Data-driven Cost-Benefit 141

Dataiku

NOVEMBER 11, 2020

In our previous article , we gave an in-depth review on how to explain biases in data. The next step in our fairness journey is to dig into how to detect biased machine learning models.

Machine Learning 125

Machine Learning Measurement Modeling 125

Analytics Vidhya

NOVEMBER 10, 2020

Overview Know about the various data types in MySQL Understand how to use these data types can be used in different scenarios Introduction. The post A Guide to Data Types in MySQL for Data Science Beginners appeared first on Analytics Vidhya.

Data Science 386

Data Science Analytics 386

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Juice Analytics

NOVEMBER 11, 2020

We are makers in our work. Whether designing a marketing campaign, creating a presentation, or building a spreadsheet, information workers spend a lot of time creating stuff. And we want better tools to do all that making. How far have these tools come? In some cases, the complex desktop tools have been replaced by nimble, web-based (and often less feature-rich) options.

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Sales Visualization Reporting Marketing 145

Cloudera

NOVEMBER 13, 2020

This is part of our series of blog posts on recent enhancements to Impala. The entire collection is available here. Apache Impala is synonymous with high-performance processing of extremely large datasets, but what if our data isn’t huge? What if our queries are very selective? The reality is that data warehousing contains a large variety of queries both small and large; there are many circumstances where Impala queries small amounts of data; when end users are iterating on a use case, filterin

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

Analytics Vidhya

NOVEMBER 8, 2020

This article was published as a part of the Data Science Blogathon. Introduction Entropy is one of the key aspects of Machine Learning. It. The post Entropy – A Key Concept for All Data Science Beginners appeared first on Analytics Vidhya.

Data Science 378

Data Science Machine Learning Publishing Analytics 378

erwin

NOVEMBER 13, 2020

The business challenges facing organizations today emphasize the value of enterprise architecture (EA) , so the future of EA is closer than you think. Are you ready for it? See also: What Is Enterprise Architecture? . COVID-19 has forced organizations around the globe to re-examine or reimagine themselves. However, even in “normal times,” business leaders need to understand how to grow, bring new products to market through organic growth or acquisition, identify new trends and opportunities, de

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Enterprise Digital Transformation Key Performance Indicator Data-driven 131

Timo Elliott

NOVEMBER 11, 2020

I have had several requests from people who want to set up some equipment for professional presentations at virtual events—a home or office studio that enables you to present live as if you were a TV weather person: Here’s a list of most of what I use (with some links, mostly to the French Amazon site where I purchased most of it — I live in Paris).

Software 126

Software IT 126

Smart Data Collective

NOVEMBER 12, 2020

We have previously talked about some of the biggest ways that policy makers and the healthcare sector are using big data to fight COVID-19. Their approach has evolved in recent weeks, as they find ways to use EMS data to streamline their response. EMS Data Changes the Roadmap to Fighting COVID-19. COVID-19 has changed how hospitals and EMS services function dramatically.

Big Data 129

Big Data Testing Software Interactive 129

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Data-driven

Analytics Vidhya

NOVEMBER 13, 2020

Overview Looking to transition into data science? Here are 8 paths for a non-data science person to land a role in this space The. The post 8 Thoughts on How to Transition into Data Science from Different Backgrounds appeared first on Analytics Vidhya.

Data Science 367

Data Science Analytics Deep Learning Machine Learning 367

Cloudera

NOVEMBER 10, 2020

Around the world, a number of countries celebrate November 11 as a day to give thanks and recognition for their veterans. Originally designated to honor the end of World War I ( Armistice Day and Remembrance Day ), in some countries it is now used to pay respect to all veterans ( Veterans Day ). . Year after year, we use this time to express our support and appreciation to those who have served in the military.

IT 122

IT 122

Dataiku

NOVEMBER 13, 2020

While the backdrop of 2020’s global health crisis and economic uncertainty makes heading into the holiday season quite unlike years past, the U.S. is still slated to drive online sales growth. According to eMarketer , both Black Friday and Cyber Monday shopping days are positioned to surpass $10 billion in e-commerce sales, with their projected totals up 39% and 38% from last year, respectively.

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Forecasting Uncertainty Sales 105

Smart Data Collective

NOVEMBER 13, 2020

Artificial intelligence and data analytics are two of the fasting-growing forms of technology for saving money in the world of business. Most companies achieve this goal by cutting down on labor hours, since labor is one of their biggest expenses. There are certainly downsides to that approach, with job security being high on the list. However, in the world of nonprofits, where so many volunteers work, every job that can be done by a computer means one more set of hands that can be working on so

Predictive Analytics 109

Predictive Analytics Analytics Machine Learning Strategy 109

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

Marketing

Analytics Vidhya

NOVEMBER 11, 2020

Overview Understand the top 14 must-have skills to be an employable data scientist Have a look at the suggested resources to enhance your understanding. The post 14 Must-Have Skills to Become a Data Scientist (with Resources!) appeared first on Analytics Vidhya.

Analytics 349

Analytics Machine Learning Big Data Visualization 349

Cloudera

NOVEMBER 10, 2020

Two of the more painful things in your everyday life as an analyst or SQL worker are not getting easy access to data when you need it, or not having easy to use, useful tools available to you that don’t get in your way! As one of my dear customers, a data worker in Pharma, said to me: “I really don’t care about bells and whistles, I just want to get my task done.

Visualization 112

Visualization Optimization Unstructured Data Dashboards 112

Dataiku

NOVEMBER 12, 2020

Last time , we learned about curiosity in deep reinforcement learning. The idea of curiosity-driven learning is to build a reward function that is intrinsic to the agent (generated by the agent itself). That is, the agent is a self-learner, as he is both the student and its own feedback teacher.

IT 105

IT 105

Smart Data Collective

NOVEMBER 11, 2020

You may not have heard of conversational AI in customer service. However, it is already making a big imprint on the industry. This year, companies spent $4.5 billion on AI for customer service applications. The benefits of conversational AI are very clear. Providing a great customer experience is the core of every successful business. , In order to achieve this goal, you need to do whatever it takes to keep your customers happy.

Advertising 104

Advertising Interactive Technology Strategy 104

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Analytics Vidhya

NOVEMBER 8, 2020

This article was published as a part of the Data Science Blogathon. Introduction “This is part of the Content Editor Internship” “Every time I. The post Create Your Own Movie Movie Recommendation System appeared first on Analytics Vidhya.

Data Science 337

Data Science Publishing Analytics Structured Data 337

Cloudera

NOVEMBER 12, 2020

A tale of two organizations. Here at Cloudera, we’ve seen many large organizations struggle to meet ever-changing and ever-growing business demands. We see it everywhere. Traditional on-premise architectures, which create a fixed, finite set of resources, forces every business request for new insight to be a crazy resource balancing act, coupled with long wait times, or a straight-up no, it cannot be done.

Data Warehouse 104

Data Warehouse Reporting Risk Cost-Benefit 104

Jet Global

NOVEMBER 11, 2020

The extreme market volatility over the past 12 months has likely led to organizations grappling with KPIs that are continuously off track from the forecasts in their financial and tax plans. This is especially true for multinational entities with subsidiaries spread across the world – all of which are likely experiencing different levels of market turmoil, changing government support programs, and shifting tax regimes.

Forecasting 98

Forecasting Finance Marketing Software 98

Smart Data Collective

NOVEMBER 9, 2020

We previously wrote about the importance of standardizing data migration. Unfortunately, many businesses are still at a loss over the data migration processes that they should be following, so we decided to talk in more detail about the benefits and practices. If you are into business, there is no need to mention how data migration is essential for your business.

Strategy 107

Strategy Cost-Benefit Software Testing 107

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Data-driven

Analytics Vidhya

NOVEMBER 11, 2020

This article was published as a part of the Data Science Blogathon. Overview With the demand for big data and machine learning, this article. The post Introduction to Spark MLlib for Big Data and Machine Learning appeared first on Analytics Vidhya.

Machine Learning 343

Machine Learning Big Data Data Science Publishing 343

Cloudera

NOVEMBER 12, 2020

Diversity takes on many forms around us. Think of a garden, an orchestra, and the example that’s easiest to relate to: food. While every ingredient has its unique taste, combining them in the right amount will result in a delicious dish. If we understand the value of diversity, why is workplace diversity still a big challenge for many companies? D&I’s progress limited a narrow view of diversity.

Business Objectives 100

Business Objectives Risk Strategy Reporting 100

Dataiku

NOVEMBER 9, 2020

Arguably more famous today than Michael Bay’s Transformers , the transformer architecture and transformer-based models have been breaking all kinds of state-of-the-art records. They are (rightfully) getting the attention of a big portion of the deep learning community and researchers in Natural Language Processing (NLP) since their introduction in 2017 by the Google Translation Team.

Deep Learning 90

Deep Learning Modeling 90

Jet Global

NOVEMBER 12, 2020

Strong accounts receivable policies and processes, backed by robust internal controls, are essential for enterprise success. In the same way that people need to take in oxygen consistently, businesses need to excel at collecting revenue to thrive. That’s why so many rely on accounts receivable dashboards to provide transparency and enable oversight.

Dashboards 87

Dashboards Optimization Metrics Data-driven 87

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

Sales

Analytics Vidhya

NOVEMBER 9, 2020

This article was published as a part of the Data Science Blogathon. Music is the rhythm of the life Music is a universal language. The post Generate Carnatic Music with Google Magenta appeared first on Analytics Vidhya.

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Data Science Publishing Analytics Deep Learning 317

Smart Data Collective

NOVEMBER 11, 2020

All the way back in the 15 th century, golf emerged on the sports scene and to this day, it remains one the most popular sports worldwide. It has maintained its originality and etiquette, even in its modern form. However, just like other traditional sports and hobbies, it is not immune to changes brought on by new technology. Since its conception, many individual athletes and teams have optimized their performances with the latest technology while enhancing entertainment value for fans.

Big Data 86

Big Data Scorecard Statistics Cost-Benefit 86

Dataiku

NOVEMBER 10, 2020

We’ve all heard the scary stories, like the cyberattack in Atlanta (to name just one). We’ve all read the terrifying headlines: In Baltimore and Beyond, Stolen N.S.A. Tool Wreaks Havoc , I’m developing AI that can read emotions. It’s not as creepy as it sounds. Yes, it is….

IT 88

IT 88

Teradata

NOVEMBER 9, 2020

Big data's growth and its impact on business is undeniable. But how do you make the most of your data analytics to create real business value? Find out more.

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Big Data Data Analytics Analytics IT 89

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.

Modeling