![[EN] Barbora's Data Team with Andrius Didžiulis](https://is1-ssl.mzstatic.com/image/thumb/Podcasts112/v4/18/36/ef/1836efc8-b0a1-61b6-44d9-b64e5a716170/mza_3764190346208236482.jpg/250x250bb.jpg)
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Šiame pokalbyje su Vilium aptarėme įvairias temas, susijusias su verslumu, pardavimais ir produktų vystymu. Vilius dalinasi savo kelione nuo darbo didžiosiose technologijų įmonėse iki nuosavo verslo kūrimo Lietuvoje, atkreipdamas dėmesį į klaidingus įsitikinimus apie pardavimus ir klientų poreikių supratimo svarbą.
Jie giliai nagrinėja rinkos tendencijas, investavimo strategijas ir duomenų valdymo iššūkius nekilnojamojo turto sektoriuje. Vilius pristato inovatyvius sprendimus, skirtus automatizuoti vartotojų patirtį ir tobulinti vertinimo procesus rinkoje.
Pokalbio metu aptarėme verslo vertės dinamikos sudėtingumą, standartų ir reguliavimų svarbą rinkos vertinime bei iššūkius, su kuriais susiduriama skaitmeninėje erdvėje. Jie aptaria inovatyvius požiūrius į produktų vystymą, duomenų agregavimo ir validavimo svarbą bei programavimo ir inžinerijos mokymų ateitį.
Dialogas pabrėžia praktinių įgūdžių ir asmeninio tobulėjimo svarbą besikeičiančioje rinkos aplinkoje.
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Šioje "Uncle Data" podkasto laidoje kalbamės su Eimantu Norkūnu. Pokalbis bus apie tai, kaip vyksta pokyčiai viešajame sektoriuje ir kaip kuriamos efektyvios komandos.
Pokalbio metu aptariame:
* Kaip Eimantas iš privataus sektoriaus perėjo į viešąjį ir kodėl pasirinko šį kelią
* Kokie iššūkiai laukia kuriant efektyvias komandas viešajame sektoriuje
* Kaip atrasti ir išlaikyti žmones, kurie tiki pokyčių galimybe
* Kaip valdyti komandų perdegimą ir išlaikyti aukštą motyvaciją
* Kodėl svarbu turėti "čempionus" skirtingose institucijose
* Kaip kurti pasitikėjimą tarp skirtingų institucijų ir komandų
Įdomu tai, kad pokalbis natūraliai vystėsi nuo viešojo sektoriaus transformacijos iki universalių komandų formavimo principų, atskleidžiant, kad nepriklausomai nuo sektoriaus, pagrindiniai sėkmingo komandinio darbo elementai išlieka tie patys.
Eimanto įžvalgos ir patirtis rodo, kad pokyčiai viešajame sektoriuje yra įmanomi, kai turi tinkamus žmones ir aiškią viziją. Jo pasakojimas apie tai, kaip nedidelės komandos gali pasiekti didelių pokyčių, įkvepia ir motyvuoja.
Pagrindinės įžvalgos:
* Kaip identifikuoti ir pritraukti žmones, kurie nori kurti pokyčius
* Kodėl vidinė motyvacija yra svarbesnė už išorinius stimulus
* Kaip kurti pasitikėjimo kultūrą organizacijoje
* Praktiniai patarimai, kaip valdyti komandos energiją ir išvengti perdegimo
#UncleData #Lyderyste #KomanduValdymas #GovTech #Technologijos #Inovacijos
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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
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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
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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!
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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.
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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.
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Exploring Career Paths in Tech: ICs vs. People Managers
Had an insightful conversation with Jev Gamper on the dynamic roles of Individual Contributors (ICs) and People Managers in the tech industry. 🔍 Here are some key takeaways from our discussion:
Diverse Paths, Equal Impact: Both ICs and People Managers contribute significantly to decision-making and strategic direction in a company. The choice depends on personal strengths and aspirations. Enabling Growth: Encouraging individual growth is essential. From writing documentation to communication, both roles play a vital role in enabling teams and individuals to solve problems effectively. Transitioning Between Paths: The transition between IC and People Manager roles can be challenging but rewarding. Recognize when it's time to experiment and find the path that suits you best. Empowerment Through Sharing: Openly sharing stories and experiences breaks down stigmas. The tech community benefits from understanding and embracing different career paths. Long-Term vs. Short-Term Strategy: Consider long-term goals while optimizing your career path. Reflect on whether you're focusing on immediate gains or long-term growth. Impact of Luck: Acknowledge the role of luck in career paths. Be humble and empathetic towards others, and create safe spaces for experimentation. Tech Industry's Influence: The advancement of the tech industry influences the demand for specialized roles, including Senior ICs. Embrace the potential to be a deep domain expert.Curious to dive deeper? Check out the thought-provoking post "Always Be Quitting" by JMMV, exploring career growth mindset: https://jmmv.dev/2021/04/always-be-quitting.html
Recommended reads:
"Staff Engineer: Leadership beyond the management track" by Will Larson "The Staff Engineer's Path" by Tanya ReillyLet's continue the conversation! What are your thoughts on the evolving landscape of tech roles? Share your experiences and insights below.
#TechRoles #CareerPath #IndividualContributors #PeopleManagers #TechCommunity
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Have you ever wondered what Developer Advocates, DevRel people do? So did I, and I got Brian on a call to talk about it. Interesting to hear his perspectives on different topics, such as Benchmarketing, the "Ice cream" funnel, what's essential for DevRel, and what angles you could pursue in this area.
Check out "Test Themselves" https://www.youtube.com/watch?v=FSy8V-R0_Zw
Subscribe to Brian's Substack, where he covers this topic more deeply:https://bitsondatadev.substack.com/
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While doing my podcast in Lithuanian only, I was looking for companies who, in my eyes, should be interesting to talk about how they work. I've heard about Hostinger in different contexts, and one thing led to another, and I'm talking to Valentinas. It was very interesting to hear how they operate, their data teams structure, its position in the company and how the hiring process looks. If you want to hear it yourself - tune in to this episode, and happy listening!
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Barbora is an eCommerce business in Lithuania that delivers groceries to your doorstep. For quite a while, it was interesting to me how in such a company, a data team is operating. I approached Andrius some time ago, but then we lost touch (holidays, busy days, etc.), so after a while, we circled back and caught up on all of these topics. As usual, for these kinds of series, we covered structure, ways of working, the hiring process and how the team operates. Happy listening!
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Ritchie Vink - author of Polars, Marc Garcia - pandas core developer. But no, I didn't invoke the dataframe war in this talk. Was interesting to hear their perspectives on things, the future of dataframe landscape and much more. Not going to do any spoilers, so tune in!
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Pydantic, I didn't know about this library up until like mid of last year when one candidate sent a task with this library used, then there was a boom in Linkedin that it's being rewritten in Rust for v2. Got my opportunity to talk to its creator Samuel Colvin during PyCon LT 2023. Was a blast for me; listen in on what we talked about!
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Corner Case Technologies started to appear in my LinkedIn feed, first because of Python meetups, then because of a Python internship. Stars aligned, and I had an opportunity to talk to Justinas Kuizinas (CTO at Corner Case Technologies) about these things and more!
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Visiems tikrai žinomas Lietuvos Bankas, bet bent man jau labai mažai kas žinoma apie jų duomenų komandas. Sprendžiau šią problemą labai paprastai, pasikalbinau Editą, kuri mielai papasakojo ir praplėtė mano žinių akiratį, kokioje duomenų brandumo situacijoje yra Lietuvos Bankas, kaip pasidalinę sritimis, kokį kelią perėjo ir begalę kitų įdomių dalykų. Paklausykit ir jūs.
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Labai didelė įmonių grupė. Dariusi savo IPO biržoje ir su tuo daug įdomių straipsnių susijusių matėme ir dar karts nuo karto matome. Žinant įmonės mąstą, labai smalsu išgirsti kaip tokioje įmonėje sudėliotos duomenų komandos, jų atsakomybės ir darbo principai. Iš tikrųjų prieš pokalbį su Paulium negalvojau, kad tokius įrankius jie naudoja ir tikrai likau maloniai nustebintas. Jei norite išgirsti kas mane nustebino - paklausykite ir jūs.
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Returning with a first English episode where I talk about 3 Python libraries that are written (being re-written in Rust) Ruff, Pydantic and Polars. The creators of the last two will give talks at PyCon! Talking about PyCon LT 2023 - I'm going to give a talk on Apache Airflow, and there will be many more. Tune in to my podcast episode to see what I recommend hearing/seeing!
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Vienas iš tikrai gerai visiems žinomų startuolių "Trafi". Su manimi sutiko pakalbėti Dominykas Sedleckas, šiuo metu einantis CTO pareigas. Smagu susipažinti ir išgirsti kokius pomėgius turi mano kalbinami žmonės. O jei jau einam prie tinklalaidės reikalų: buvo įdomu sužinoti kokia duomenų komandų istorija šioje įmonėje, kaip vyskta darbinimosi procesai. Smagu visada išgirsti apie įmonių transformacijas ir kaip jos vyksta (arba dėl ko prasidėjo), tad "Trafi" šiuo metu irgi juda prie kitokių duomenų komandos struktūrų ir veikimo principų. Na, o jūs paklausykit patys, kaip jiems sekasi, ką jie veikia.
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Dažnai bent mano LinkedIn sraute matau informaciją apie įmones iš šios grupės. Mano žiniomis labai stiprius specialistus turinti įmonė. Žinant, kad rinka yra labiau Jungtinėje Karalystėje, buvo įdomu išgirsti kaip įmonė atsirado Lietuvoje. Ir tikrai nepamiršom svarbios temos apie duomenų komandas ir darbo principus. Smagaus klausymo!
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