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Data-driven 2021: Predictions for a new year in data, analytics and AI
DataKitchen
JANUARY 4, 2021
The post Data-driven 2021: Predictions for a new year in data, analytics and AI first appeared on DataKitchen. News News / PR
DataKitchen
Tame DataOps System Complexity with a DataOps Platform
DataKitchen
FEBRUARY 19, 2021
The post Tame DataOps System Complexity with a DataOps Platform first appeared on DataKitchen. On-Demand Webinar Webinar / Podcast
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2021: The Year Real Time Gets Real
DataKitchen
FEBRUARY 17, 2021
The post 2021: The Year Real Time Gets Real first appeared on DataKitchen. News News / PR
How DataOps Kitchens Enable Version Control
DataKitchen
FEBRUARY 4, 2021
This blog builds on earlier posts that defined Kitchens and showed how they map to technical environments. We’ve also discussed how toolchains are segmented to support multiple kitchens. DataOps automates the source code integration, release, and deployment workflows related to analytics development.
The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture
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A next-gen cloud data lake architecture has emerged that brings together the best attributes of the data warehouse and the data lake. This new open data architecture is built to maximize data access with minimal data movement and no data copies.
Pitching a DataOps Project That Matters
DataKitchen
FEBRUARY 1, 2021
Every DataOps initiative starts with a pilot project. How do you choose a project that matters to people? DataOps addresses a broad set of use cases because it applies workflow process automation to the end-to-end data-analytics lifecycle.
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Differentiation Through DataOps in Financial Services
DataKitchen
FEBRUARY 11, 2021
The post Differentiation Through DataOps in Financial Services first appeared on DataKitchen. On-Demand Webinar Webinar / Podcast
DataOps Reports that Keep Your Finger on the Pulse
DataKitchen
JANUARY 25, 2021
It’s never good when your boss calls at 5 pm on a Friday. The weekly analytics didn’t build correctly. What happened? Call me every hour with updates until you figure it out!”. For many data professionals, this situation is all too familiar.
The Business Case for DataOps
DataKitchen
JANUARY 6, 2021
Savvy executives maximize the value of every budgeted dollar. Decisions to invest in new tools and methods must be backed up with a strong business case.
Realizing the Benefits of Automated Machine Learning
Advertiser: Data Robot
How are organizations using machine learning and artificial intelligence (AI) to derive business value? Renowned author and professor Tom Davenport explains the rise of automated machine learning, its benefits, and success stories from businesses that are already using it.
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Do You Need a DataOps Dojo?
DataKitchen
JANUARY 20, 2021
As DataOps activity takes root within an enterprise, managers face the question of whether to build centralized or decentralized DataOps capabilities. Centralizing analytics brings it under control but granting analysts free reign is necessary to foster innovation and stay competitive.
Data Governance for Self-Service Analytics Best Practices
DataKitchen
FEBRUARY 1, 2021
The post Data Governance for Self-Service Analytics Best Practices first appeared on DataKitchen. News News / PR
DataOps Facilitates Remote Work
DataKitchen
JANUARY 5, 2021
Remote working has revealed the inconsistency and fragility of workflow processes in many data organizations. The data teams share a common objective; to create analytics for the (internal or external) customer.
DataKitchen’s 2020 Honors & Awards
DataKitchen
DECEMBER 30, 2020
While 2020 has been a collectively difficult year, we want to take a moment to thank all of our employees for the hard work they put into continually developing our DataKitchen DataOps Platform for our customers.
Leading Advertising and Analytics Company Outperforms With a Graph Database
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Xandr, a division of AT&T, has built an identity graph that connects information on people, households, and more. The company is using this graph to provide advertisers an ability to deliver commercials more successfully than ever before. Learn more.
DataKitchen’s Best of 2020 DataOps Resources
DataKitchen
DECEMBER 21, 2020
We understand that many folks would like to say goodbye and good riddance to 2020.
Improve Business Agility by Hiring a DataOps Engineer
DataKitchen
DECEMBER 20, 2020
It is not the strongest of the species that survives, nor the most intelligent that survives. It is the one that is most adaptable to change. – Leon C. Megginson on Charles Darwin “Origin of Species”. Adapt or face decline.
Gartner: Operational AI Requires Data Engineering, DataOps, and Data-AI Role Alignment
DataKitchen
JANUARY 2, 2021
How to Build a Successful Cloud DataOps Program
DataKitchen
JANUARY 18, 2021
The post How to Build a Successful Cloud DataOps Program first appeared on DataKitchen. On-Demand Webinar Webinar / Podcast
What is Contextual Analytics? The Next Evolution of Embedded Analytics
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Download this white paper to learn what contextual analytics is, how BI platforms like Yellowfin revolutionize the way users discover insights from their data with native contextual analytics, and how it adds value to your software solution by elevating the user experience.
Basics of Natural Language Processing(NLP) for Absolute Beginners
Analytics Vidhya
FEBRUARY 26, 2021
ArticleVideo Book Introduction According to industry estimates, only 21% of the available data is present in a structured form. Data is being generated as. The post Basics of Natural Language Processing(NLP) for Absolute Beginners appeared first on Analytics Vidhya.
Machine Learning 101: Decision Tree Algorithm for Classification
Analytics Vidhya
FEBRUARY 25, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Overview Learn about the decision tree algorithm in machine learning, The post Machine Learning 101: Decision Tree Algorithm for Classification appeared first on Analytics Vidhya.
ML Model Deployment with Webhosting frameworks
Analytics Vidhya
FEBRUARY 20, 2021
ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction With the motivation of award-winning from Analytics Vidhya Blogathon3 continuing. The post ML Model Deployment with Webhosting frameworks appeared first on Analytics Vidhya.
6 Open Source Data Science Projects That Provide an Edge to Your Portfolio
Analytics Vidhya
FEBRUARY 19, 2021
ArticleVideos Introduction “I understand the concepts well. Why should I focus on data science projects in my data science journey?” ” I have been in. The post 6 Open Source Data Science Projects That Provide an Edge to Your Portfolio appeared first on Analytics Vidhya.
Brand Health Report: Tech Talent Ranks the Most Innovative Companies They'd Love to Work for and Why
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Hired surveyed more than 4,000 tech workers to find out which companies rank as their most desirable employers and how other organizations can compete for their attention. Download this report to learn what tech talent values most in a potential employer and how to improve your employer brand.
How to Split a Decision Tree – The Pursuit to Achieve Pure Nodes
Analytics Vidhya
FEBRUARY 25, 2021
ArticleVideo Book Introduction Decision Trees are probably one of the common machine learning algorithms and this is something every Data Science beginner should know. The post How to Split a Decision Tree – The Pursuit to Achieve Pure Nodes appeared first on Analytics Vidhya.
Introduction to Machine Learning for Absolute Beginners
Analytics Vidhya
FEBRUARY 17, 2021
ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Machine learning.Sounds cool right? When I see those two words, The post Introduction to Machine Learning for Absolute Beginners appeared first on Analytics Vidhya.
Introduction to Reinforcement Learning for Beginners
Analytics Vidhya
FEBRUARY 21, 2021
ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Reinforcement Learning, seems intriguing, right? Here in this article, we. The post Introduction to Reinforcement Learning for Beginners appeared first on Analytics Vidhya.
A Comprehensive Step-by-Step Guide to Become an Industry Ready Data Science Professional
Analytics Vidhya
FEBRUARY 24, 2021
ArticleVideo Book Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm.
The Best Data Retention Policy & Template To Get You Started
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In this whitepaper from Onna, we will walk you through data retention best practices and provide you with a downloadable template to help you get organized and gain better visibility into your data’s lifecycle.
The Exciting Future Potential of Machine Learning
Analytics Vidhya
FEBRUARY 24, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Machine Learning works on the principles of computer algorithms. The post The Exciting Future Potential of Machine Learning appeared first on Analytics Vidhya.
Brief Introduction to the Rising Field of Decision Intelligence!
Analytics Vidhya
FEBRUARY 4, 2021
ArticleVideos Overview Decision Intelligence is still an emerging field though it has been in the market for some time Understand what is a decision. The post Brief Introduction to the Rising Field of Decision Intelligence! appeared first on Analytics Vidhya.
Quick Notes on the Basics of Python and the NumPy Library
Analytics Vidhya
FEBRUARY 24, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon. “Champions are brilliant at the. The post Quick Notes on the Basics of Python and the NumPy Library appeared first on Analytics Vidhya.
An Quick Overview of Data Science Universe
Analytics Vidhya
JANUARY 26, 2021
ArticleVideos This article was published as a part of the Data Science Blogathon. What is Data Science (DS)? Data Science is a blend of. The post An Quick Overview of Data Science Universe appeared first on Analytics Vidhya. Beginner Career blogathon data science universe
Building Evolvable Architectures
Speaker: Dr. Rebecca Parsons, CTO of ThoughtWorks
The software development ecosystem exists in a state of dynamic equilibrium, where any new tool, framework, or technique leads to disruption and the establishment of a new equilibrium. Predictability is impossible when the foundation architects plan against is constantly changing in unexpected ways. It’s no surprise many CIOs and CTOs are struggling to adapt, in part because their architecture isn’t equipped to evolve. This webinar will discuss what’s at stake if companies continue to use long term architecture plans.
Key Python Packages for Data Science
Analytics Vidhya
FEBRUARY 5, 2021
ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Hi! Young Data Science enthusiast, Let’s understand key packages for. The post Key Python Packages for Data Science appeared first on Analytics Vidhya.
Building a DataFrame from Multiple Files
Analytics Vidhya
FEBRUARY 24, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon. In any Data Science project, the steps of Importing Data. The post Building a DataFrame from Multiple Files appeared first on Analytics Vidhya.
A Simple Guide to Metrics for Calculating String Similarity
Analytics Vidhya
FEBRUARY 24, 2021
ArticleVideo Book Introduction One of the applications of Natural Language Processing is auto-correction and spellings checks. All of us have encountered this that if. The post A Simple Guide to Metrics for Calculating String Similarity appeared first on Analytics Vidhya.
Why Programming is Essential for Data Science
Analytics Vidhya
FEBRUARY 22, 2021
ArticleVideos Introduction I graduated with a degree in Bachelor’s of Commerce from Delhi University and decided to pursue Data Science as a career. During. The post Why Programming is Essential for Data Science appeared first on Analytics Vidhya.
Are Your Embedded Analytics DevOps-Friendly?
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Does your analytics solution work with your current tech stack and DevOps practices? If not, any update to the analytics could increase deployment complexity and become difficult to maintain. Learn the 5 elements of a DevOps-friendly embedded analytics solution.
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