Log in

goodpods headphones icon

To access all our features

Open the Goodpods app
Close icon
headphones
Big Data Talks

Big Data Talks

Jan-Willem Middelburg

Welcome to our Big Data Talks podcast channel, in which we have conversations with Industry Experts about the way in which Big Data, Machine Learning and Artificial Intelligence are changing the way we live. The Big Data Talks podcast is hosted by Jan-Willem Middelburg, the author of the Enterprise Big Data Framework. In this podcast, Jan-Willem Middelburg invites speakers and industry experts to share their knowledge and insight with a common theme: Data. You can always watch back the recording of this discussion on YouTube, the Big Data Framework Website, and the podcasting platforms.
bookmark
Share icon

All episodes

Best episodes

Seasons

Top 10 Big Data Talks Episodes

Goodpods has curated a list of the 10 best Big Data Talks episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to Big Data Talks for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite Big Data Talks episode by adding your comments to the episode page.

Welcome to our next episode of Big Data Talks, in which we have conversations with Industry Experts about the way in which data, machine learning and artificial intelligence are changing the way we live. My name is Jan-Willem Middelburg, and I will be your host today. I am the author of the Enterprise Big Data Framework, which is hosting this series of Big Data Talks. You can always watch the recording of this discussion on YouTube, the Big Data Framework Website, the podcasting platform on Apple Podcasts and Spotify.

Today I have the great pleasure to welcome Dr. Madan Mohan Tito Ayyalasomayajula. Dr. Madan is a researcher, author, and Senior Technology Architect based in Texas, with over two decades of expertise spanning data architecture, distributed computing, cloud computing, big data, machine learning, and artificial intelligence. Holding a Doctorate in Computer Science from Aspen University and a master’s degree from Osmania University, Dr. Madan has been instrumental in architecting scalable data solutions and addressing some of the most pressing challenges in big data and AI.

As a peer reviewer for esteemed international journals in AI and big data research, Dr. Madan ensures the quality and relevance of pioneering research in these cutting-edge fields. His unique blend of academic knowledge and practical industry experience allows him to seamlessly bridge the gap between theory and application, delivering innovative solutions that meetreal-world needs.

In his role at Infosys, Dr. Madan leverages his comprehensive background to provide clients with state of-the-art data solutions, with aparticular emphasis on machine learning and AI applications. Beyond his professional accomplishments, he is a dedicated mentor to young IT professionals and a prolific contributor to industry publications and events.

A true thought leader in technology, Dr. Madan is committed to advancing the field of computing, fostering a culture of innovation, and promoting ethical AI practices. His insights into the future of technology and its societal impact are both profound and invaluable. Welcome Dr. Madan.

bookmark
plus icon
share episode

About Big Data Talks

Welcome to our next episode of Big Data Talks, in which we have conversations with Industry Experts about the way in which data, machine learning and artificial intelligence are changing the way we live. My name is Jan-Willem Middelburg, and I will be your host today. I am the author of the Enterprise Big Data Framework, which is hosting this series of Big Data Talks. You can always watch the recording of this discussion on YouTube, the Big Data Framework Website, the podcasting platform on Apple Podcasts and Spotify.

Guest: Bitthal Khaitan

Today I have the great pleasure to welcome Mr. Bitthal Khaitan, Senior Cloud Engineer at CVS Health based in Dallas-Fort Worth Metroplex, USA. CVS Health, a prominent Fortune #4 healthcare solutions company in the United States. With more than 12 years of experience, Bitthal has played a pivotal role in driving cloud data-driven initiatives using a versatile technology stack encompassing Google Cloud, Teradata, Big Data, Hadoop, Spark, Scala, and Python.

Before his tenure at CVS Health, Bitthal spent eight years at Tata Consultancy Services, Asia's largest IT company as a Data Engineer where he collaborated with Fortune 500 companies like Walmart, Cigna Healthcare, DaVita Kidney Care, and Kaiser Foundation Hospitals on critical projects involving enterprise data warehousing, big data lake development, and cloud migration.

Bitthal holds a bachelor's degree in computer science engineering from the West Bengal University of Technology, Kolkata. He is also a member in esteemed technology organisations like IEEE and the British computer society, as well as a technology advisory board member at Packt, a UK-based technical book publishing company, demonstrates his dedication to shaping the industry's future. Welcome Bitthal.

bookmark
plus icon
share episode

Welcome to our next episode of Big Data Talks, in which we have conversations with Industry Experts about the way in which data, machine learning and artificial intelligence are changing the way we live. My name is Jan-Willem Middelburg, and I will be your host today. I am the author of the Enterprise Big Data Framework, which is hosting this series of Big Data Talks. You can always watch the recording of this discussion on YouTube, the Big Data Framework Website, the podcasting platform on Apple Podcasts and Spotify.

Today I have the great pleasure to welcome Andy Cotgreave. Andy is a seasoned data expert and Senior Data Evangelist for Tableau, a Salesforce company. With over 17 years of experience in the industry, he has established himself as a prominent figure, co-authoring "The Big Book of Dashboards" and earning a spot on the 2022 dataIQ Top 100 most influential people in data.

As a thought leader, Andy co-hosts Chart Chat, a monthly video series delving into the intricacies of data communication. He is also the driving force behind the Sweet Spot newsletter, offering curated stories that showcase the fascinating intersection of data with the world.

Andy's passion for advancing data cultures is evident through his extensive contributions. He helps clients, media, and analysts from various industries gain valuable insights and understanding of their data. In addition, Andy is the host of If Data Could Talk and Chart Chat, both video series dedicated to exploring the realms of data culture and visualization.

Armed with a Masters degree in geography from the University of Edinburgh, Andy has been a relentless advocate for improving data-discovery skills. Over the years, he has inspired thousands of individuals with technical advice and innovative ideas, continuously staying at the forefront of emerging trends in the industry.

bookmark
plus icon
share episode

Welcome to Big Data Talks: Episode with Pankaj Zanke Welcome to another episode of Big Data Talks, the podcast where we explore the transformative power of data, machine learning, and artificial intelligence with leading experts from around the globe. I'm Jan-Willem Middelburg, your host for today. As the author of the Enterprise Big Data Framework, I'm excited to guide you through these enlightening conversations. Tune In Anytime You can watch the recording of this discussion on YouTube, visit the Big Data Framework website, or listen to the podcast on Apple Podcasts. Make sure to subscribe and stay updated with our latest episodes, featuring the brightest minds in the industry. Meet Pankaj Zanke: Expert in Data Architecture and Pipelines Today, I’m excited to welcome Pankaj Zanke, a seasoned expert in data pipelines and big data solutions. With extensive experience in using cutting-edge tools like Hadoop and Spark, as well as cloud platforms such as Azure and GCP, Pankaj excels in data warehousing, governance, and machine learning. His work spans diverse industries including finance, healthcare, and retail. Currently pursuing a Master of Science in Data Science and Analytics at Georgia Institute of Technology, Pankaj has also made significant academic contributions, with research featured in esteemed journals. As an active tech writer for platforms like Dzone and Dataversity, his career reflects a strong commitment to advancing data science and analytics. What to Expect in This Episode Join us for an insightful discussion with Pankaj Zanke as he shares his journey from early influences to becoming an expert in data architecture and pipeline construction. We will dive into the key components and stages of data architecture, explore the challenges and solutions in data migration, and discuss best practices for maintaining data pipelines. Additionally, Pankaj will share his vision for the future of data management and offer advice for aspiring data professionals. Stay Connected Whether you're a data enthusiast, a professional in the field, or someone intrigued by the intersection of data and communication, this episode is packed with valuable insights you won't want to miss. Remember to subscribe on YouTube, the Big Data Framework website, or Apple Podcasts to keep up with our latest episodes.

bookmark
plus icon
share episode

About Big Data Talks

Welcome to our next episode of Big Data Talks, in which we have conversations with Industry Experts about the way in which data, machine learning and artificial intelligence are changing the way we live. My name is Jan-Willem Middelburg, and I will be your host today. I am the author of the Enterprise Big Data Framework, which is hosting this series of Big Data Talks. You can always watch the recording of this discussion on YouTube, the Big Data Framework Website, and the podcasting platform on Apple Podcasts.

Guest: Dr. Poo Kuan Hoong Today I have the great pleasure to welcome Dr Poo Kuan Hoong. Dr. Poo works as Lead Data Scientist at BAT where he applies his combination of research and industrial experience in Big Data Analytics, Data Mining, Machine Learning and Artificial Intelligence to provide innovative solutions to drive revenue growth. With over 15 years of academic and research experience, Dr Poo is a passionate practitioner in the area of Data Science, Machine Learning and Artificial Intelligence. A graduate of Nagoya Institute of Technology (Japan), Dr. Poo holds a Doctorate degree (Ph.D.) in Computer Science, a Master of Information Technology, University Kebangsaan Malaysia (UKM), and a Bachelor of Science, University Kebangsaan Malaysia (UKM). Besides that Dr Poo also serves as a mentor in the NASA International Space Apps Challenge, founder of the Malaysia R User Group Malaysia (MyRUG) and TensorFlow and Deep Learning Malaysia Group. Dr. Poo also provides consultancy on data strategy for companies in various sectors including finance, telecommunication and technology startups.

bookmark
plus icon
share episode

Welcome to our next episode of Big Data Talks, in which we have conversations with Industry Experts about the way in which data, machine learning and artificial intelligence are changing the way we live. My name is Jan-Willem Middelburg, and I will be your host today. I am the author of the Enterprise Big Data Framework, which is hosting this series of Big Data Talks. You can always watch the recording of this discussion on YouTube, the Big Data Framework Website, and the podcasting platform on Apple Podcasts and Spotify. Today I have the great pleasure to welcome Ts. Professor Dr. Angela Lee. Dr. Angela is the Associate Dean & Head of Department Computing and Information Systems in the School of Engineering and Technology, Sunway University Malaysia. She serves on the editorial and reviewer board for several international journals such as the Journal of IT in Industry, Journal of Information and Knowledge Management Systems, Journal of Information and Management etc. She also involves in several committees and membership such as IEEE special group Big Data Technical Committee, member of the Association of Information Systems and Institute of Electrical and Electronics Engineers (IEEE), Fellow of the Higher Education Academy UK, representing Malaysia in the International Federation for Information Processing (IFIP) and was one of the founding members of SAS user group Malaysia. Dr. Angela Lee holds the degrees of BSc (Hons) in Business Information Technology, Master of Science in E-Commerce, Postgraduate Certificate in Academic Practice, and a Ph.D. in Computing. She also completed the Wharton School of the University of Pennsylvania Business Analytics Specialization course and has gained data knowledge and analytics mindset to describe, predict, and inform business decisions using big data in the areas of IT, Marketing, Human Resources, Finance, and Operations. Welcome Dr. Angela.

bookmark
plus icon
share episode

Welcome to our next episode of Big Data Talks, in which we have conversations with Industry Experts about the way in which data, machine learning and artificial intelligence are changing the way we live. My name is Jan-Willem Middelburg, and I will be your host today. I am the author of the Enterprise Big Data Framework, which is hosting this series of Big Data Talks. You can always watch the recording of this discussion on YouTube, the Big Data Framework Website, the podcasting platform on Apple Podcasts and Spotify. Today I have the great pleasure to welcome Angelika Klidas. Angelika is a seasoned expert navigating the realms of data and analytics. With a rich background as a former Operations Manager for diverse organizations, Angelika has earned acclaim for her strategic thinking and problem-solving prowess. Currently donning the hat of a Challenger and Advisor, she is revered as a Data Literacy Evangelist at Business Data Challengers. Through her roles as an operations manager, strategic advisor, and Data Literacy Evangelist, Angelika skilfully dissects BI & Analytics landscapes, aligns with organisational ambitions, and provides invaluable advice to propel data maturity. But Angelika's influence extends beyond corporate landscapes. As a lecturer at the Amsterdam University of Applied Sciences, she seamlessly connects academic theories with real-world narratives. Her interactive and engaging teaching style fosters an environment where curiosity and critical thinking flourish, empowering her Data & Analytics students with practical skills and strategic insights. Angelika holds a Bachelor's degree in Business Information Technology from Amsterdam University of Applied Sciences, adding depth to her academic qualifications. In addition to her multifaceted roles, Angelika has co-authored a book titled "Data Literacy in Practice: A Complete Guide to Data Literacy and Making Smarter Decisions with Data through Intelligent Actions." This comprehensive guide reflects her commitment to advancing the field and providing actionable insights for individuals navigating the data landscape. Yet, Angelika's commitment transcends the classroom. Actively participating in industry conferences and workshops, she shares her expertise and learns from fellow luminaries. Widely read and appreciated, Angelika's articles and blogs on data literacy and analytics further showcase her dedication to advancing the field. For Angelika, this commitment is more than a profession—it's a personal mission to transform individuals worldwide into data-literate professionals and strategic thinkers.

bookmark
plus icon
share episode

Welcome to Big Data Talks: Episode with Christopher Chin Welcome to another episode of Big Data Talks, the podcast where we explore the transformative power of data, machine learning, and artificial intelligence with leading experts from around the globe. I'm Jan-Willem Middelburg, your host for today. As the author of the Enterprise Big Data Framework, I'm excited to guide you through these enlightening conversations. Tune In Anytime You can watch the recording of this discussion on YouTube, visit the Big Data Framework website, or listen to the podcast on Apple Podcasts. Make sure to subscribe and stay updated with our latest episodes, featuring the brightest minds in the industry. Meet Christopher Chin: Bridging Data and Communication In this episode, I am honored to welcome Christopher Chin, a visionary dedicated to transforming the way data professionals communicate. Christopher's diverse background in data journalism, data science, data visualization, and business intelligence uniquely positions him to address the often-overlooked soft skills necessary in the data field. Christopher's journey began with a Bachelor's Degree in Music and Engineering from Columbia University, followed by a Master's Degree in Acoustic Engineering from Penn State University. His technical prowess, combined with a deep passion for effective communication, led him to identify a significant gap in the industry: the need for enhanced communication skills among data professionals. To tackle this challenge, Christopher founded The Hidden Speaker, an initiative aimed at equipping data professionals with the essential soft skills required to excel in their roles. His work is revolutionizing how data insights are communicated and understood, making a substantial impact on the industry. What to Expect in This Episode Join us as we dive into Christopher's innovative approach to data communication, the origins of The Hidden Speaker, and his insights into the future of the data industry. We will discuss the critical role of soft skills in data professions and how improving these skills can lead to more effective data-driven decision-making. Stay Connected Whether you're a data enthusiast, a professional in the field, or someone intrigued by the intersection of data and communication, this episode is packed with valuable insights you won't want to miss. Remember to subscribe on YouTube, the Big Data Framework website, or Apple Podcasts to keep up with our latest episodes.

bookmark
plus icon
share episode

Welcome to Big Data Talks: Episode with Susan Walsh Welcome to another episode of Big Data Talks, the podcast where we explore the transformative power of data, machine learning, and artificial intelligence with leading experts from around the globe. I'm Jan-Willem Middelburg, your host for today. As the author of the Enterprise Big Data Framework, I'm excited to guide you through these enlightening conversations. Tune In Anytime You can watch the recording of this discussion on YouTube, visit the Big Data Framework website, or listen to the podcast on Apple Podcasts. Make sure to subscribe and stay updated with our latest episodes, featuring the brightest minds in the industry. Meet Susan Walsh: The Mistress of Data and Champion of Data Quality In this episode, I have the great pleasure to welcome Susan Walsh, famously known as the Mistress of Data. Susan is an industry expert in spend data classification, supplier normalization, and taxonomy customization, with a rich background that includes experience with industry giants like Philips and Colgate Palmolive. With her degree in Commerce from Abertay University and a dynamic career in sales and customer account management, Susan took a bold leap into the world of data, founding The Classification Guru in 2017. Her journey has been marked by significant achievements, including being recognized in the DataIQ100 and winning the DataIQ Data Champion award in 2022 and 2023. Susan is also a TEDx speaker and has authored the book "Between the Spreadsheets: Classifying and Fixing Dirty Data." She is dedicated to sharing her knowledge through various platforms, including a new course for O'Reilly, making her a prominent thought leader in the data industry. What to Expect in This Episode Join us for an enlightening discussion with Susan Walsh, the Mistress of Data, as she shares her unique journey from corporate sales to founding The Classification Guru. Susan will provide invaluable insights into data quality, including her COAT methodology and the Dirty Data Maturity Model, foundational tips for data cleansing, and the interconnectedness of data classification. We will also explore common mistakes in Excel data management and effective use of its features, along with Susan's vision for future advancements in data tools. Additionally, she will offer advice for aspiring women in the data field, drawing from her own experiences and successes. Stay Connected Whether you're a data enthusiast, a professional in the field, or someone intrigued by the intersection of data and communication, this episode is packed with valuable insights you won't want to miss. Remember to subscribe on YouTube, the Big Data Framework website, or Apple Podcasts to keep up with our latest episodes.

bookmark
plus icon
share episode

In this episode of Big Data Talks, we sit down with Andrew Jones, an Independent Data Consultant with over 15 years of experience in the industry. Hosted by Jan-Willem Middelburg, author of the Enterprise Big Data Framework, we explore how data, machine learning, and artificial intelligence are transforming the world we live in. Andrew’s journey from software engineer to data infrastructure expert has led him to define groundbreaking concepts like data contracts, which he detailed in his book Driving Data Quality with Data Contracts. Join us as Andrew shares his insights on building scalable data architectures and his passion for helping organizations unlock the true potential of their data. Beyond his professional achievements, Andrew is also a dedicated family man, runner, and amateur brewer. This episode is packed with valuable takeaways on the future of data engineering, making it a must-listen for anyone in the field. Tune in for a deep dive into Andrew’s innovations, challenges, and vision for the future of data. Watch the full discussion on YouTube, the Big Data Framework website, or listen on Apple Podcasts and Spotify.

bookmark
plus icon
share episode

Show more best episodes

Toggle view more icon

FAQ

How many episodes does Big Data Talks have?

Big Data Talks currently has 10 episodes available.

What topics does Big Data Talks cover?

The podcast is about Podcasts and Technology.

What is the most popular episode on Big Data Talks?

The episode title 'Big Data Talks #18 | Dr. Poo Kuan Hoog: New Technologies, Algorithms and Building User Communities' is the most popular.

What is the average episode length on Big Data Talks?

The average episode length on Big Data Talks is 47 minutes.

How often are episodes of Big Data Talks released?

Episodes of Big Data Talks are typically released every 30 days, 17 hours.

When was the first episode of Big Data Talks?

The first episode of Big Data Talks was released on Sep 6, 2023.

Show more FAQ

Toggle view more icon

Comments