Radio DaTa

Radio DaTa

By Adam KawaNewsTechnologyTech News
Download on the App Store

Radio DaTa episodes

  • Data Update with Jakub Pieprzyk (GetInData) - Modern Data Platforms, the what's, why's and how's?

    In this episode, we analyze changes and trends that resulted in the creation of so-called Modern Data Platforms. This includes e.g. adoption of best practices from the software development domain (e.g. dbt), the shift from ETL (Extract-Transform-Load) to ELT (Extract-Load-Transform) paradigm, serverless databases (e.g. Snowflake, BigQuery, Athena), public cloud, and support for SQL everywhere.

    This podcast episode was recorded by Jakub Pieprzyk (GetInData).

    Follow-up links:

    • Modern Data Platform - the what's, why's and how's? Demystifying the buzzword
    • Up & Running: data pipeline with BigQuery and dbt
    • An example of a template to create a pipeline project with open-source GetInData Framework based on DBT (Github)

    Hosted on Acast. See acast.com/privacy for more information.

    14 min
  • Data Journey with Max Schultze (Zalando) - Data Mesh at Zalando, what it is, what it is NOT, how it helps Zalando to become even more data-driven company
    Max Schultze lives in Berlin and he works as a data engineering manager at Zalando. Zalando is one of the largest European online retailers of shoes, fashion, and beauty. We talk with Max about how they use data and analytics at Zalando, and how their data platform has evolved during the last few years, however, the most important topic of our conversation is Data Mesh - what it is, what it is NOT, how it helps Zalando to become even more data-driven company, if, when & how to introduce it to your organization.

    Hosted on Acast. See acast.com/privacy for more information.

    1 hr 4 min
  • Data Update with Adam Kawa (GetInData) - 5 current trends in the data and AI landscape (H1 2022)

    I describe 5 trends in the data and AI landscape that we see in our daily work at GetInData and as a part of the data community (e.g. Big Data Tech Warsaw conference co-organizers).

    1. Retail becomes a very hot sector for AI/ML (plus new data sources, Metaverse, MLOps, Responsible AI)
    2. Modern Data Platforms (plus SQL, hiring, open-source, data engineering pipelines)
    3. Public Cloud (plus data residency, multi-cloud & cloud-agnostic approach)
    4. Data quality and data auditing
    5. Data access (data cataloging, data discovery, and data mesh).

    Bonus: a few ideas on how to follow such trends.

    This podcast episode was recorded by Adam Kawa (GetInData).

    Follow-up articles and videos:

    • EU Artificial Intelligence Act - where are we now,
    • Auditing Data and Answering the lifelong question Is it the end of the day yet? - Simona Meriam
    • Data Mesh as a proper way to organize the data world

    Hosted on Acast. See acast.com/privacy for more information.

    41 min
  • Data Journey with Sergiy Tkachuk (Reckitt) - Data, analytics, cloud and AI/ML in the retail and FMCG industry
    Sergiy Tkachuk lives in Warsaw in Poland and he works as a Data Science Manager at Reckitt. Reckitt is a British multinational consumer goods company that produces a number of well-known health, hygiene, and nutrition products such as Vanish, Calgon, and Air Wick. We talk with Sergey about how he and his company uses data, cloud, analytics, and AI/ML in the retail and FMCG industry. Data scientists at Reckitt have implemented many business use-cases such as basket analysis, attribution, reporting adverse events, and use the Azure cloud, Databricks, Power BI, and programming languages such as Python, Scala, R, and SQL.

    Hosted on Acast. See acast.com/privacy for more information.

    23 min
  • Data Journey with Simona Meriam (Aidoc) - Unstructured data and data auditing
    Simona works as a senior data engineer at Aidoc. Aidoc is an Israeli healthcare technology company that develops AI solutions to analyze medical images so that physicians can expedite patient treatment and enhance efficiencies. We talk with Simona about two topics. The first of them is working as a data engineer with complex & unstructured data such as medical images at Aidoc and the second is data auditing. Before joining Aidoc, Simona had been working at Nielsen for almost 5 years where she had built, among others, an in-house data auditing solution for tracking a large volume of text data (used technologies include Kafka, Avro, Spark, AWS Lambda, and SQL).

    Hosted on Acast. See acast.com/privacy for more information.

    25 min
  • Data Journey with Victoria Bukta (Shopify) - Apache Iceberg and data ingestion
    Viktoria works as a senior data engineer at Shopify. Shopify is one of the most well-known e-commerce companies and it is a very early adopter of big data & cloud technologies. We talk with Viktora about how her team ingests data at Shopify using a mix of open-source and cloud-native technologies such as Apache Iceberg, Debezium, Kafka, and GCP.

    Hosted on Acast. See acast.com/privacy for more information.

    35 min

About Radio DaTa

From the publisher's feed

We talk about data, cloud, analytics, and AI/ML/BI with different expert guests and different hosts, in different segment formats.

Hosted on Acast. See