Sat.Jul 09, 2022 - Fri.Jul 15, 2022

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Provoking Consumer-First Analytical Thinking with Drew Smith

Jesse Anderson

My guest this week is Drew Smith , Vice President of Global Data and Analytics at Little Caesars Enterprises and Ilitch Companies. Little Caesars is a pizza franchise that is mainly in the United States. Illitch Companies owns the Detroit Tigers (baseball), Detroit Red Wings (hockey), and several stadiums. Before that, Drew worked at International Institute for Analytics (IIA), an analytics consulting company, and IKEA, the furniture retailer and manufacturer.

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Why SQL Will Remain the Data Scientist’s Best Friend

KDnuggets

Machine learning, big data analytics or AI may steal the headlines, but if you want to hone a smart, strategic skill that can elevate your career, look no further than SQL.

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Maintain Your Data Engineers' Sanity By Embracing Automation

Data Engineering Podcast

Summary Building and maintaining reliable data assets is the prime directive for data engineers. While it is easy to say, it is endlessly complex to implement, requiring data professionals to be experts in a wide range of disparate topics while designing and implementing complex topologies of information workflows. In order to make this a tractable problem it is essential that engineers embrace automation at every opportunity.

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Here’s Why 1k+ Business Analysts Fueled Their Learning Journeys With IIM Indore & Jigsaw

U-Next

In a world that creates 1.145 trillion MB of data per day , change is the only constant. With brand new information being seeded every other second, businesses are evolving at the speed of light. Where there’s data, there’s analytics, and thus, the demand for skilled Business Analysts. Data enthusiasts have stumbled across enough facts and figures to know what’s trending and what’s needed to master these trends, which is why over 1,000 learners hit the road to becoming highly sought-after Busine

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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.

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Teradata is Still the Lowest Cost for Enterprise Analytics

Teradata

Teradata provides the lowest cost per query for enterprise-scale analytics. Have your doubts? Then please read on.

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Free Artificial Intelligence And Deep Learning Crash Course

KDnuggets

Deep learning forms the backbone of modern day artificial intelligence. Learn more about the important aspects of this connection with this freely available course.

More Trending

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Strategies for change data capture in dbt

dbt Developer Hub

There are many reasons you, as an analytics engineer, may want to capture the complete version history of data: You’re in an industry with a very high standard for data governance You need to track big OKRs over time to report back to your stakeholders You want to build a window to view history with both forward and backward compatibility These are often high-stakes situations!

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Building Kafka Storage That’s 10x More Scalable and Performant

Confluent

How Confluent built Intelligent Storage, for 10x more scalable and elastic Kafka storage with infinite retention, max cluster uptime, and zero operational burdens.

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Why Use k-fold Cross Validation?

KDnuggets

Generalizing things is easy for us humans, however, it can be challenging for Machine Learning models. This is where Cross-Validation comes into the picture.

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Rethink Shrink | The impact of a bad count

Retail Insight

The supply chain disruptions affecting the UK retail market prompted me to have another think about shrink. There are many elements of retail shrink, or rather their knock-on effects, that are barely discussed and yet they represent a significant opportunity to reduce costs as well as recover the all-important margin. Fixing these problems will in turn deliver a more rounded customer service and help meet ESG objectives that are of growing reputational importance.

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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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From Aspirations To Inspirations – Journeys Of Product Managers Who Upskilled With IIM Indore And Jigsaw

U-Next

A job profile famous for being among the highest-paying careers, Product Management is a very serious business. It requires the best of the best candidates who are always on their feet, ready to adorn a new hat to fit a new role that the situation demands. It’s almost heroic, the way a product manager functions. Just like you, three highly-energetic product management enthusiasts dreamed a little dream about making it big in this exciting domain.

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Data Engineering Annotated Monthly – June 2022

Big Data Tools

Hi, I’m Pasha Finkelshteyn , and I’ll be your guide today through this month’s news. I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. If you think I missed something worthwhile, catch me on Twitter and suggest a topic, link, or anything else you want to see. By the way, if you would prefer to get this monthly source of data engineering information delivered straight to your inbox each month, you can subscribe t

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Machine Learning Is Not Like Your Brain Part 5: Biological Neurons Can’t Do Summation of Inputs

KDnuggets

See why biological neurons can’t do the most fundamental process of the artificial perceptron, the summation of inputs.

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DATE_TRUNC SQL function: Why we love it

dbt Developer Hub

In general, data people prefer the more granular over the less granular. Timestamps > dates , daily data > weekly data, etc.; having data at a more granular level always allows you to zoom in. However, you’re likely looking at your data at a somewhat zoomed-out level—weekly, monthly, or even yearly. To do that, you’re going to need a handy dandy function that helps you round out date or time fields.

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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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Your Quest For The Perfect Product Management Course Ends Here

U-Next

Today, much work goes into creating every product we use, whether the kitchenware or the branded watches we wear. Throughout the product life cycle, from product creation to customer service, it needs extra effort and meticulous work to succeed in the market today. Due to the ever-growing product market, businesses have taken it upon themselves to ensure their product establishes their value in the market.

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Data Engineering Annotated Monthly – June 2022

Big Data Tools

Hi, I’m Pasha Finkelshteyn , and I’ll be your guide today through this month’s news. I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. If you think I missed something worthwhile, catch me on Twitter and suggest a topic, link, or anything else you want to see. By the way, if you would prefer to get this monthly source of data engineering information delivered straight to your inbox each month, you can subscribe t

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The 5 Best Places To Host Your Data Science Portfolio

KDnuggets

How can you showcase your data scientist skills and abilities? The answer to this question is online platforms where you can publish your portfolio and seize opportunities.

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Is dbt a Good Tool for Implementing Data Models?

phData: Data Engineering

Within data engineering , one of the most frequent tasks is modeling data into data marts and data products. Traditionally, if a company wanted to model some data, there were two types of resources available that could accomplish this: data engineers or data analysts. However, the approach that a data engineer would take to model data vs. a data analyst looks very different.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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How to Set KPIs for Your Data Team

Monte Carlo

As analytics professionals, we deal in data: serving ad-hoc reports on a minute’s notice, pulling queries for executives, and generally forecasting company performance across a variety of metrics. But how can we be truly successful if we don’t measure our own performance, too? In this article, we discuss six important steps to setting goals for our own data teams, from taking time for exploration to avoiding vanity stats while maintaining a constant pulse on the *actual* needs of the business.

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Confluent India’s Head of HR: “Working here has helped me grow both professionally and personally as a woman in tech”

Confluent

With Confluent's new Bangalore office, India’s Head of HR shares her experience with Confluent’s team culture, fast growth, personal and career development, and why it’s a great place to work.

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Parallel Processing Large File in Python

KDnuggets

Learn various techniques to reduce data processing time by using multiprocessing, joblib, and tqdm concurrent.

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Can Someone From Non-IT Background Become A Data Science Professional? Hear It From Jigsawites Who’ve Transformed Into Data Scientists In Just 6 Months!

U-Next

Data Science is only for persons with an IT background. It is a persistent myth that many people believe. Although it is true that some IT professionals seek to advance their skills in analytics, this field is not only open to people with a background in programming and IT. Many successful Data Scientists began their Data Science careers without prior coding knowledge or IT experience.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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DATEDIFF SQL function: Why we love it

dbt Developer Hub

“How long has it been since this customer last ordered with us?” “What is the average number of days to conversion?” Business users will have these questions, data people will have to answer these questions, and the only way to solve them is by calculating the time between two different dates. Luckily, there’s a handy DATEDIFF function that can do that for you.

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What Is a Multi-Cluster Virtual Warehouse in Snowflake Data Platform? | Propel Data Analytics Blog

Propel Data

Multi-cluster virtual warehouses auto-scale compute resources based on the demands on the data warehouse. Here’s how they work in Snowflake.

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How Does Logistic Regression Work?

KDnuggets

Logistic regression is a machine learning classification algorithm that is used to predict the probability of certain classes based on some dependent variables.

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Choosing To Upskill With IIM Indore’s Programs Is The Path To Fast Track Your Career

U-Next

The three critical elements for successful and rewarding career growth are curiosity, tenacity, and continuous upskilling. Upskilling has become a dire necessity to stay relevant in today’s competitive world. Whether you’re a working professional with more than 4 to 5 years of experience or a fresher looking to enter the corporate world, upskilling is the only path to getting noticed, staying relevant, or kickstarting your career.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Why Replicating HBase Data Using Replication Manager is the Best Choice

Cloudera

In this article we discuss the various methods to replicate HBase data and explore why Replication Manager is the best choice for the job with the help of a use case. Cloudera Replication Manager is a key Cloudera Data Platform (CDP) service, designed to copy and migrate data between environments and infrastructures across hybrid clouds. The service provides simple, easy-to-use, and feature-rich data movement capability to deliver data and metadata where it is needed, and has secure data backup

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What Are Warehouses in Snowflake Data Analytics Platform? | Propel Data Analytics Blog

Propel Data

Snowflake’s virtual warehouses are computing clusters that process the data analytics commands you run on Snowflake data analytics platform.

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MLOps: The Key To Pushing AI Into The Mainstream

KDnuggets

In this blog, we will aim at discussing the reasons that make MLOps an essential aspect of pushing AI mainstream. Besides, we will highlight the capabilities of MLOps as a catalyst for AI implementation.

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Are You Contemplating In Investing In Business Analytics Training? Hear From People Who Recently Upskilled With IIM Indore’s Future Leader Program.

U-Next

In today’s data-first world, where the ever-expanding borders of industries and the ongoing necessity to outperform and outgrow competitors, businesses are constantly looking for professionals who can analyze the market, assist them in developing strategies, and align growth trends. This is where you come in, with your aptitude for statistics, acute business acumen, and enthusiasm for data.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.