Inside Economics regular Dante DeAntonio joins us for the March release of the US employment report. Down the strike zone.  In the middle of the uprights. Down the fairway. Sticking to script.  All apt descriptions of the job market in the month of March. But this is all before the fallout of the banking crisis has become evident. Follow Mark Zandi @MarkZandi, Cris deRitis @MiddleWayEcon, and Marisa DiNatale on LinkedIn for additional insight.

Questions or Comments, please email us at [email protected]. We would love to hear from you.    To stay informed and follow the insights of Moody's Analytics economists, visit Economic View.

The modern data stack is a loose collection of technologies, often cloud-based, that collaboratively process and store data to support modern analytics. It must be automated, low code/no code, AI-assisted, graph-enabled, multimodal, streaming, distributed, meshy, converged, polyglot, open, and governed. Published at: https://www.eckerson.com/articles/twelve-must-have-characteristics-of-a-modern-data-stack

In "Principles of Data Fabric," you will gain a comprehensive understanding of Data Fabric solutions and architectures. This book provides a clear picture of how to design, implement, and optimize Data Fabric solutions to tackle complex data challenges. By the end, you'll be equipped with the knowledge to unify and leverage your organizational data efficiently. What this Book will help me do Design and architect Data Fabric solutions tailored to specific organizational needs. Learn to integrate Data Fabric with DataOps and Data Mesh for holistic data management. Master the principles of Data Governance and Self-Service analytics within the Data Fabric. Implement best practices for distributed data management and regulatory compliance. Apply industry insights and frameworks to optimize Data Fabric deployment. Author(s) Sonia Mezzetta, the author of "Principles of Data Fabric," is an experienced data professional with a deep understanding of data management frameworks and architectures like Data Fabric, Data Mesh, and DataOps. With years of industry expertise, Sonia has helped organizations implement effective data strategies. Her writing combines technical know-how with an approachable style to enlighten and guide readers on their data journey. Who is it for? This book is ideal for data engineers, data architects, and business analysts who seek to understand and implement Data Fabric solutions. It will also appeal to senior data professionals like Chief Data Officers aiming to integrate Data Fabric into their enterprises. Novice to intermediate knowledge of data management would be beneficial for readers. The content provides clear pathways to achieve actionable results in data strategies.

If you want to learn data visualization, here are the best 5 books you should read.

Get the books via links down below.

🌟 Join the data project club!

“25OFF” to get 25% off (first 50 members).

📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(0:34) - Book 1: Storytelling with Data

(1:50) - Book 2: The Big Book of Dashboards

(2:51) - Book 3: Envisioning Information

(4:12) - Book 4: How Charts Lie

(5:14) - Book 5: Show Me The Numbers

Mentioned Links:

📚 Storytelling with Data: https://amzn.to/3n2rDwJ

📚 The Big Book of Dashboards: https://amzn.to/42nBmO4

📚 Envisioning Information: https://amzn.to/3yN8a5z

📚 How Charts Lie: https://amzn.to/3luqQ77

📚 Show Me The Numbers: https://amzn.to/3FxgeuW

Connect with Avery:

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Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

“Being an entrepreneur is basically like going from one crisis to the next”. Those are the words of Michael Kingston, co-founder and CEO of Seeda. At a point in his career when Michael was thriving, he took the daunting plunge from successful executive to entrepreneur and start-up founder. Most people would be too scared to take such an enormous risk; however, this step has been Michael's key toward work-life satisfaction. Three years later, Michael and his co-founders have built Seeda, an AI-assisted marketing analytics product, purpose-built for Shopify-based eCommerce platforms. Seeda helps marketers make sense of the enormous amount of data coming at them from numerous sources and use it to optimise their marketing activities. Whether it’s SEO, email marketing or digital advertising, marketers are often stuck with a heavy burden of technical9 implementation and optimisation. Seeda’s product is the “AI analyst” that helps the world’s 5 million Shopify stores figure it all out, without needing to be a technology or analytics expert. If you’re curious about start-up life or are thinking about starting your own business, then this episode is for you! In this episode we discuss: How Michael gradually but surely made the shift from employee to entrepreneurHow Michael figured out what he wanted to work on as an entrepreneurHow Seeda’s “AI analyst” is a potential game-changer for Shopify-based businesses wanting more out of their marketing effortsThe scaled data architecture that allows small businesses to take advantage of data practices normally reserved for large corporatesMichael’s advice for anyone wanting to start their own business, and much more.Michael on LinkedIn: https://www.linkedin.com/in/michael-kingston-35707217/ Check out Seeda: https://www.seeda.io/  

This book illustrates how data can be useful in solving business problems. It explores various analytics techniques for using data to discover hidden patterns and relationships, predict future outcomes, optimize efficiency and improve the performance of organizations. You’ll learn how to analyze data by applying concepts of statistics, probability theory, and linear algebra. In this new edition, both R and Python are used to demonstrate these analyses. Practical Business Analytics Using R and Python also features new chapters covering databases, SQL, Neural networks, Text Analytics, and Natural Language Processing.Part one begins with an introduction to analytics, the foundations required to perform data analytics, and explains different analytics terms and concepts such as databases and SQL, basic statistics, probability theory, and data exploration. Part two introduces predictive models using statistical machine learning and discusses concepts like regression, classification, and neural networks. Part three covers two of the most popular unsupervised learning techniques, clustering and association mining, as well as text mining and natural language processing (NLP). The book concludes with an overview of big data analytics, R and Python essentials for analytics including libraries such as pandas and NumPy. Upon completing this book, you will understand how to improve business outcomes by leveraging R and Python for data analytics. What You Will Learn Master the mathematical foundations required for business analytics Understand various analytics models and data mining techniques such as regression, supervised machine learning algorithms for modeling, unsupervised modeling techniques, and how to choose the correct algorithm for analysis in any given task Use R and Python to develop descriptive models, predictive models, and optimize models Interpret and recommend actions based on analytical model outcomes Who This Book Is For Software professionals and developers, managers, and executives who want to understand and learn the fundamentals of analytics using R and Python.

Sharmin Mossavar-Rahmani, chief investment officer for Wealth Management at Goldman Sachs, join Mark, Cris and Marisa to cut through the uncertainty over the banking crisis and China’s prospects. The worst of the banking crisis appears to be over, but China’s economic problems are only beginning. For more about Sharmin Mossavar-Rahmani click here For more on Goldman Sachs Investment Strategy Group 2023 Outlook click here Follow Mark Zandi @MarkZandi, Cris deRitis @MiddleWayEcon, and Marisa DiNatale on LinkedIn for additional insight.

Questions or Comments, please email us at [email protected]. We would love to hear from you.    To stay informed and follow the insights of Moody's Analytics economists, visit Economic View.

In 2023, businesses are relying more heavily on data science and analytics teams than ever before. However, simply having a team of talented individuals is not enough to guarantee success.  In the last of our RADAR 2023 sessions, Vijay Yadav and Vanessa Gonzalez will outline the keys to building high-impact data teams in 2023. They will discuss what are the hallmarks of a high-performing data team, the importance of diversity of background and skillset needed to build impactful data teams, setting up career pathways for data scientists, and more. Vijay Yadav is a highly respected data and analytics thought leader with over 20 years of experience in data product development, data engineering, and advanced analytics. As Director of Quantitative Sciences - Digital, Data, and Analytics at Merck, he leads data & analytics teams in creating AI/ML-driven data products to drive digital transformation. Vijay has held numerous leadership positions at various companies and is known for his ability to lead global teams to achieve high-impact results.  Vanessa Gonzalez is the Sr. Director of Data Science and Innovation at Businessolver where she leads the Computational Linguistics, Machine Learning Engineering, Data Science, BI Analytics, and BI Engineering teams. She is experienced in leading data transformations, performing analytical and management functions that contribute to the goals and growth objectives of organizations and divisions.  Listen in as Vanessa and Vijay share how to enable data teams to flourish in an ever-evolving data landscape. 

Send us a text Ami Gal, CEO & Co-founder at SQream.  We dive deep into Big SQL analytics powered by GPUs, plus the future of compute. 02:20 Meet Ami Gal04:52 What's in a name? sqream.com08:10 Problem being solved13:53 The secret sauce : data flow16:52 Software or HW for scale20:47 Secret sauce take 225:02 Hadoop, future of27:52 Hybrid cloud31:31 Go-to-market35:09 The next 5 years of compute39:18 Ok, next 20 years44:17 For funLinkedIn: linkedin.com/in/galami Website: sqream.com Want to be featured as a guest on Making Data Simple?  Reach out to us at [email protected] and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

This is the story of how a math teacher transitioned to become a lead analytics consultant at Wells Fargo

In this episode of The Data Career Podcast, Avery Smith sits down with Courtney Ballard, one of the bootcamp alumna on how she landed data job from teaching.

If you are a Transitioning Teacher looking to explore data, I have a LIVE training to help you on your journey: https://www.datacareerjumpstart.com/teachers

🌟 Join the data project club!

“25OFF” to get 25% off (first 50 members).

📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(1:53) - Why Courtney transitioned to data analytics

(9:54) - Why it's okay to pivot your career

(13:22) - Teachers make great data analysts

(17:44) - How Courtney landed her job

(23:30) - Why data careers are great for teachers

Courtney’s Links: Linkedin: https://www.linkedin.com/in/courtneylballard/

Connect with Avery:

📺 Subscribe on YouTube

🎙Listen to My Podcast

👔 Connect with me on LinkedIn

📸 Instagram

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Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

An effective data strategy is one that combines a variety of levers such as infrastructure, tools, organization, processes, and more. Arguably however, the most important aspect of a vibrant data strategy is culture and people. In the third of our four RADAR 2023 sessions, Cindi Howson and Valerie Logan discuss how data leaders can create a data strategy that puts their people at the center. Learn key insights into how to drive effective change management for data culture, how to drive adoption of data within the organization, common pitfalls when executing on a data strategy, and more.  Cindi Howson is the Chief Data Strategy Officer at ThoughtSpot and host of The Data Chief podcast. Cindi is an analytics and BI thought leader and expert with a flair for bridging business needs with technology.  As Chief Data Strategy Officer at ThoughtSpot, she advises top clients on data strategy and best practices to become data-driven, speaks internationally on top trends such as AI ethics, and influences ThoughtSpot’s product strategy.  Valerie Logan is the Founder and CEO of The Data Lodge. Valerie is committed to data literacy, she believes that in today's digital society, data literacy is a life skill. With advisory services, bootcamps, a resource library and community services at The Data Lodge, Valerie is certifying the world’s first Data Literacy Program Leads and pioneering the path forward in cracking the data culture code. In 2018, she was awarded Gartner’s Top Thought Leadership Award for her leadership in the area of Data Literacy. Listen in as Cindi and Valerie share how to build a data strategy that puts people first in an enterprise organization.

As organizations and the economy at large look to weather the challenges of 2023, data literacy is one of the keys to empowering organizations to navigate the decade's most significant challenges with confidence.  In the second of our four RADAR 2023 sessions, Jordan Morrow shares how to navigate the future with data literacy, and how organizations can thrive as data becomes ever more prominent. Jordan is known as the "Godfather of Data Literacy", having helped pioneer the field by building one of the world's first data literacy programs and driving thought leadership on the subject. Jordan is Vice President and Head of Data And Analytics at BrainStorm, Inc., and a global trailblazer in the world of data literacy, building the world's first full scale data literacy program. He served as the Chair of the Advisory Board for The Data Literacy Project, has spoken at numerous conferences around the world and is an active voice in the data and analytics community. He has also helped companies and organizations around the world, including the United Nations, build and understand data literacy. Listen in as Jordan outlines how and why data literacy can help build individual and organizational resilience, how to scale data literacy within your organization, and more.

As organizations of all sizes continuously look to drive value out of data, the modern data stack has emerged as a clear solution for getting insights into the hands of the organization. With the rapid pace of innovation not slowing down, the tools within the modern data stack have enabled data teams to drive faster insights, collaborate at scale, and democratize data knowledge. However, are tools just enough to drive business value with data?  In the first of our four RADAR 2023 sessions, we look at the key drivers of value within the modern data stack through the minds of Yali Sassoon and Barr Moses.  Yali Sassoon is the Co-Founder and Chief Strategy Officer at Snowplow Analytics, a behavioral data platform that empowers data teams to solve complex data challenges. At Snowplow, Yali gets to combine his love of building things with his fascination of the ways in which people use data to reason. Barr Moses is CEO & Co-Founder of Monte Carlo. Previously, she was VP Customer Operations at customer success company Gainsight, where she helped scale the company 10x in revenue and, among other functions, built the data/analytics team.  Listen in as Yali and Barr outline how data leaders can drive value creation with data in 2023.

Diane Swonk, chief economist of KPMG returns to discuss fragilities in the financial system and the impact on credit availability and the economy. She shares her view that a meaningful recession is dead ahead. We also discuss the Fed’s meeting earlier this week and their decision to not pause rates given the banking system turmoil. For more on Diane Swonk, click here Follow Mark Zandi @MarkZandi, Cris deRitis @MiddleWayEcon, and Marisa DiNatale on LinkedIn for additional insight.

Questions or Comments, please email us at [email protected]. We would love to hear from you.    To stay informed and follow the insights of Moody's Analytics economists, visit Economic View.

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Brad Culberson is a Principal Architect in the Field CTO's office at Snowflake. Niall Woodward is a co-founder of SELECT, a startup providing optimization and spend management software for Snowflake customers. In this conversation with Tristan and Julia, Brad and Niall discuss all things cost optimization: cloud vs on-prem, measuring ROI, and tactical ways to get more out of your budget. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.  The Analytics Engineering Podcast is sponsored by dbt Labs.

Let's face it; data analytics can sometimes be a real pain in the spreadsheet.

You spend hours analysing data, writing code, and crafting reports, only to have one mystery bug stop your work from progressing.

I'll show you my 10-step guide for solving ANY data problem.

🌟 Join the data project club!

“25OFF” to get 25% off (first 50 members).

📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(2:19) - Step 1: Copy your error message

(3:29) - Step 2: Use Google, Stack Overflow & ChatGPT

(5:28) - Step 3: Double check everything!

(6:58) - Step 4: Rubber Duck it!

(7:58) - Step 5: Read manual & documentation

(9:45) - Step 6: Walk away, just walk.

(14:19) - Step 7: Turn it off!

(12:52) - Step 8: Screenshot & screenrecord it

(15:18) -Step 10: Say thank you!

Connect with Avery:

📺 Subscribe on YouTube

🎙Listen to My Podcast

👔 Connect with me on LinkedIn

📸 Instagram

🎵 TikTok

Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

When it comes to simulation, we're all really asking the same question: are we living in one? Alas! We did not tackle that on this episode. Instead, with Julie Hoyer as a guest co-host while Moe is on leave, we were joined by Frances Sneddon, the CTO of Simul8, to dig into some of the nuts and bolts of simulation as a tool for improving processes. It turns out that effectively putting simulations to use means focusing on some of the same foundational aspects of effectively using analytics, data science, or experimentation: clearly defining the problem, tapping into the domain experts to actually understand the process or scenario of focus, and applying some level of "art" to complement the science of the work! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

Data leaders play a critical role in driving innovation and growth in various industries, and this is particularly true in highly regulated industries such as aviation. In such industries, data leaders face unique challenges and opportunities, working to balance the need for innovation with strict regulatory requirements. This week’s guest is Derek Cedillo, who has 27 years of experience working in Data and Analytics at GE Aerospace. Derek currently works as a Senior Manager for GE Aerospace’s Remote Monitoring and Diagnostics division, having previously worked as the Senior Director for Data Science and Analytics. In the episode, Derek shares the key components to successfully managing a Data Science program within a large and highly regulated organization. He also shares his insights on how to standardize data science planning across various projects and how to get a Data Scientists to think and work in an agile manner. We hear about ideal data team structures, how to approach hiring, and what skills to look for in new hires.  The conversation also touches on what responsibility Data Leaders have within organizations, championing data-driven decisions and strategy, as well as the complexity Data Leaders face in highly regulated industries. When it comes to solving problems that provide value for the business, engagement and transparency are key aspects. Derek shares how to ensure that expectations are met through clear and frank conversations with executives that try to align expectations between management and Data Science teams. 

Finally, you'll learn about validation frameworks, best practices for teams in less regulated industries, what trends to look out for in 2023 and how ChatGPT is changing how executives define their expectations from Data Science teams. 

Links to mentioned in the show: The Checklist Manifesto by Atul Gawande Team of Teams by General Stanley McChrystal The Harvard Data Science Review Podcast

Relevant Links from DataCamp: Article: Storytelling for More Impactful Data Science Course: Data Communication Concepts Course: Data-Driven Decision-Making for Business

One version of the truth is the holy grail of data and analytics. However, the promise of one version of the truth still evades us because even with consistent data, the truth is, as the film My Cousin Vinny demonstrates, a matter of perspective and context. Published at: https://www.eckerson.com/articles/one-version-of-the-truth-according-to-my-cousin-vinny