Databricks Apache Spark Developer Certification Antonio Cachuan
Antonio Martin Cachuan Alipazaga was granted a Databricks Certified Developer - Apache Spark 2.x for Python certification on April 27, 2019. The certificate ID for this certification is 0000000031. This certification demonstrates proficiency in developing applications using Apache Spark 2.x with Python.
This document provides details about a Cloudera Big Data Architecture workshop held from December 11-13, 2018. The workshop was led by Antonio Cachuan and provided training on Cloudera's big data architecture and solutions over a three day period from the start date of December 11th through the end date of December 13th, 2018.
Antonio Martín Cachuán Alipázaga completed the KM204G course on IBM InfoSphere DataStage Essentials (version 11.5) on November 30, 2017. The document certifies that Antonio successfully finished the essentials training for IBM InfoSphere DataStage.
This document is about a course titled "Importing Data in Python (Part 2)" by Antonio Martín Cachuán Alipázaga. The course number is 3,955,612 and focuses on techniques for importing and working with data in the Python programming language.
Databricks Apache Spark Developer Certification Antonio Cachuan
Antonio Martin Cachuan Alipazaga was granted a Databricks Certified Developer - Apache Spark 2.x for Python certification on April 27, 2019. The certificate ID for this certification is 0000000031. This certification demonstrates proficiency in developing applications using Apache Spark 2.x with Python.
This document provides details about a Cloudera Big Data Architecture workshop held from December 11-13, 2018. The workshop was led by Antonio Cachuan and provided training on Cloudera's big data architecture and solutions over a three day period from the start date of December 11th through the end date of December 13th, 2018.
Antonio Martín Cachuán Alipázaga completed the KM204G course on IBM InfoSphere DataStage Essentials (version 11.5) on November 30, 2017. The document certifies that Antonio successfully finished the essentials training for IBM InfoSphere DataStage.
This document is about a course titled "Importing Data in Python (Part 2)" by Antonio Martín Cachuán Alipázaga. The course number is 3,955,612 and focuses on techniques for importing and working with data in the Python programming language.
This document is about a Python course titled "Importing Data in Python (Part 1)" by Antonio Martín Cachuán Alipázaga. The course teaches students how to import different types of data into Python programs for analysis and manipulation. Students will learn the fundamentals of importing CSV files, JSON data, XML documents and more into Python.
Antonio Martín Cachuán Alipázaga has completed the Deep Learning in Python course. The course number is 2,997,280. The course title is Deep Learning in Python.
Antonio Martín Cachuán Alipázaga is taking an introductory Python for Data Science course. The course number is 2,338,974. The document provides Antonio's name and details about the Python course he is enrolled in.
Antonio Martín Cachuán Alipázaga completed the Python Data Science Toolbox (Part 1) course. The course teaches fundamental Python programming and data science tools and techniques. It provides a foundation for performing data analysis and visualization with Python.
El documento es un diploma que otorga a Antonio Martín Cachuán Alipázagala diplomatura de Estudios en Estadística Aplicada de la Facultad de Ciencias e Ingeniería. Antonio completó satisfactoriamente los estudios entre agosto de 2016 y abril de 2017 con un total de 174 horas en cursos como Procedimientos Básicos Estadísticos, Técnicas de Predicción, Técnicas de Muestreo, Análisis Multivariado y Análisis de Datos Categóricos. El diploma fue firmado por
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...Kaxil Naik
Navigating today's data landscape isn't just about managing workflows; it's about strategically propelling your business forward. Apache Airflow has stood out as the benchmark in this arena, driving data orchestration forward since its early days. As we dive into the complexities of our current data-rich environment, where the sheer volume of information and its timely, accurate processing are crucial for AI and ML applications, the role of Airflow has never been more critical.
In my journey as the Senior Engineering Director and a pivotal member of Apache Airflow's Project Management Committee (PMC), I've witnessed Airflow transform data handling, making agility and insight the norm in an ever-evolving digital space. At Astronomer, our collaboration with leading AI & ML teams worldwide has not only tested but also proven Airflow's mettle in delivering data reliably and efficiently—data that now powers not just insights but core business functions.
This session is a deep dive into the essence of Airflow's success. We'll trace its evolution from a budding project to the backbone of data orchestration it is today, constantly adapting to meet the next wave of data challenges, including those brought on by Generative AI. It's this forward-thinking adaptability that keeps Airflow at the forefront of innovation, ready for whatever comes next.
The ever-growing demands of AI and ML applications have ushered in an era where sophisticated data management isn't a luxury—it's a necessity. Airflow's innate flexibility and scalability are what makes it indispensable in managing the intricate workflows of today, especially those involving Large Language Models (LLMs).
This talk isn't just a rundown of Airflow's features; it's about harnessing these capabilities to turn your data workflows into a strategic asset. Together, we'll explore how Airflow remains at the cutting edge of data orchestration, ensuring your organization is not just keeping pace but setting the pace in a data-driven future.
Session in https://budapestdata.hu/2024/04/kaxil-naik-astronomer-io/ | https://dataml24.sessionize.com/session/667627
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
This document is about a Python course titled "Importing Data in Python (Part 1)" by Antonio Martín Cachuán Alipázaga. The course teaches students how to import different types of data into Python programs for analysis and manipulation. Students will learn the fundamentals of importing CSV files, JSON data, XML documents and more into Python.
Antonio Martín Cachuán Alipázaga has completed the Deep Learning in Python course. The course number is 2,997,280. The course title is Deep Learning in Python.
Antonio Martín Cachuán Alipázaga is taking an introductory Python for Data Science course. The course number is 2,338,974. The document provides Antonio's name and details about the Python course he is enrolled in.
Antonio Martín Cachuán Alipázaga completed the Python Data Science Toolbox (Part 1) course. The course teaches fundamental Python programming and data science tools and techniques. It provides a foundation for performing data analysis and visualization with Python.
El documento es un diploma que otorga a Antonio Martín Cachuán Alipázagala diplomatura de Estudios en Estadística Aplicada de la Facultad de Ciencias e Ingeniería. Antonio completó satisfactoriamente los estudios entre agosto de 2016 y abril de 2017 con un total de 174 horas en cursos como Procedimientos Básicos Estadísticos, Técnicas de Predicción, Técnicas de Muestreo, Análisis Multivariado y Análisis de Datos Categóricos. El diploma fue firmado por
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...Kaxil Naik
Navigating today's data landscape isn't just about managing workflows; it's about strategically propelling your business forward. Apache Airflow has stood out as the benchmark in this arena, driving data orchestration forward since its early days. As we dive into the complexities of our current data-rich environment, where the sheer volume of information and its timely, accurate processing are crucial for AI and ML applications, the role of Airflow has never been more critical.
In my journey as the Senior Engineering Director and a pivotal member of Apache Airflow's Project Management Committee (PMC), I've witnessed Airflow transform data handling, making agility and insight the norm in an ever-evolving digital space. At Astronomer, our collaboration with leading AI & ML teams worldwide has not only tested but also proven Airflow's mettle in delivering data reliably and efficiently—data that now powers not just insights but core business functions.
This session is a deep dive into the essence of Airflow's success. We'll trace its evolution from a budding project to the backbone of data orchestration it is today, constantly adapting to meet the next wave of data challenges, including those brought on by Generative AI. It's this forward-thinking adaptability that keeps Airflow at the forefront of innovation, ready for whatever comes next.
The ever-growing demands of AI and ML applications have ushered in an era where sophisticated data management isn't a luxury—it's a necessity. Airflow's innate flexibility and scalability are what makes it indispensable in managing the intricate workflows of today, especially those involving Large Language Models (LLMs).
This talk isn't just a rundown of Airflow's features; it's about harnessing these capabilities to turn your data workflows into a strategic asset. Together, we'll explore how Airflow remains at the cutting edge of data orchestration, ensuring your organization is not just keeping pace but setting the pace in a data-driven future.
Session in https://budapestdata.hu/2024/04/kaxil-naik-astronomer-io/ | https://dataml24.sessionize.com/session/667627
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
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This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
Open Source Contributions to Postgres: The Basics POSETTE 2024ElizabethGarrettChri
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.