Uncle Data Tomas Peluritis

Summary

Raiko Limmart, CEO and co-founder of LiTech (https://LiTech.app for a prolonged demo, mention Uncle Data!), discusses the importance of data observability and its challenges. He shares his journey into data quality assurance and explains the components of data observability, including data validation, profiling, and cataloguing. Raiko highlights the need for companies to start early with data observability and offers insights into LiTech's services, which automate data validation, detect anomalies, and provide insights on data quality. He also discusses the role of machine learning and AI in data observability and emphasizes the importance of establishing a data culture within organizations.

Takeaways


Start early with data observability to ensure accurate and reliable analytics and decision-making.
Data observability is a collaborative process that requires the proper tooling, defined processes, and a data-driven mindset.
LiTech offers a user-friendly data observability solution that automates data validation, detects anomalies, and provides insights on data quality.
Companies should prioritize data literacy and SQL skills to implement data observability effectively.
Establishing a data culture and involving the data team in decision-making is crucial for successful data observability implementation.

Have you ever wondered what happens behind the scenes in organizing conferences? In this episode, we have Aidis and Inga, who are organizers of PyCon LT (probably the biggest Python event in the region!). Tune in to the tips on how to get your talk into the conferences, if Chat GPT can help you write an abstract and description, and what other Python conferences are a must to see!



PyCon Newsletter Registration link:

https://mailchi.mp/33c3df7619af/pyconlt-2019



PyCon.lt Website: https://pycon.lt/2024

Welcome to another engaging episode of our podcast series! In this special edition, we're thrilled to have Tomas Ivanaitis, the head of data engineering at Surfshark and a mentor par excellence. Tomas's journey in the dynamic world of data is about technical growth and nurturing leadership qualities.

🔍 What's Inside:


Journey Through Data: Tomas unfolds his narrative, transitioning from programming to mastering data engineering.
Leadership in Data: Gain insights into how data engineering intertwines with effective team management and leadership skills.
Mentoring the Next Gen: Learn from Tomas's approach to mentorship, shaping the future of data professionals.
Crafting High-Performance Teams: Discover the art of building and leading powerful data teams in a rapidly evolving tech landscape.

📈 Why Tune In?
This episode is more than just a conversation; it's a reservoir of lessons, experiences, and wisdom for anyone passionate about data, leadership, and career development. Don't miss out on these invaluable insights from one of the leading minds in data engineering!

#DataEngineering #CareerGrowth #Leadership #Mentorship #TechPodcast

Join us in this enlightening episode as we sit down with Robert Hodges, a seasoned expert in databases and programming. We delve into the fascinating evolution of programming languages, discussing the rise of Rust, the dominance of Java in the US, and C++'s stronghold in Eastern Europe.

Robert offers a deep dive into ClickHouse, highlighting its unique development in C++ and its seamless integration capabilities with Kafka. We explore the universality of SQL, its enduring relevance, and the challenges its syntax presents, even to seasoned developers.

For those keen on expanding their knowledge, Robert recommends the transformative book "Java Concurrency in Practice" by Brian Goetz, which sheds light on Java's concurrency features and the intricacies of the Java memory model.

We also touch upon the evolution of Perl, drawing parallels with languages like COBOL, and reflect on the invaluable role books have played in the journey of many developers.

Whether you're a database enthusiast, a programming language aficionado, or someone keen on the intricacies of data processing, this episode promises a wealth of insights. Tune in!

In this episode, Niko Korvenlaita and Tomas Peluritis discuss the importance of accurate data processing, the role of data engineers, and the significance of aligning data projects with business needs. They explore data modelling, semantic layers, and the power of metadata in making data more accessible. Plus, discover their top book recommendations for diving into the world of data.

In this enlightening episode of my podcast, join me, Tomas Peluritis, as I engage in a captivating conversation with Rytis Jonas Zolubas, a seasoned data professional. Together, we dive deep into the realm of data consultancy, sharing our collective wisdom and experiences to guide both data consultants and companies seeking consultancy services. Through our dialogue, we explore the pivotal moments that prompt professionals to shift from full-time roles to consultancy, the nuances of consultancy work, effective strategies for client interactions, the dynamics of holiday management in the consultancy world, and the industries that frequently leverage consultancy expertise. Rytis and I offer candid anecdotes, practical advice, and valuable insights, making this episode a must-listen for data enthusiasts considering a consultancy path or businesses in search of external data insights. Tune in to gain a comprehensive understanding of the intricacies of data consultancy from the perspectives of two seasoned industry insiders.