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Contenu fourni par Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
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Teradata (1/N): Getting Started (Create Environment, Explore Use Cases)

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Manage episode 397822339 series 3530865
Contenu fourni par Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

In this podcast episode, Krish explores Teradata from scratch. He starts by introducing Teradata as a complete cloud analytics and data platform, suitable for building large-scale data warehousing applications. He explains the concepts of data warehousing, data lakes, and data marts. Krish then explores Teradata's platform and products, including Teradata Vantage and ClearScape Analytics. He demonstrates how to get started with Teradata by creating an environment and exploring the JupyterLab interface. Krish creates tables, loads data, and runs queries in Teradata, providing hands-on experience and learning along the way. Krish explores the Teradata platform and its functionalities. He starts by troubleshooting a query and identifying the issue. Then, he runs basic queries to demonstrate the SQL syntax. Krish also discusses the availability of third-party plugins and explores some of them. Finally, he concludes the episode by discussing the next steps for further exploration and learning.

Takeaways

  • Teradata is a complete cloud analytics and data platform suitable for building large-scale data warehousing applications.
  • Data warehousing, data lakes, and data marts are important concepts to understand in the context of Teradata.
  • Teradata offers a range of products and platforms, including Teradata Vantage and ClearScape Analytics.
  • JupyterLab and Jupyter Notebooks can be used to interact with Teradata and perform data analysis and exploration.
  • Creating tables, loading data, and running queries are essential tasks in Teradata. Teradata is a powerful platform for data analysis and management.
  • Troubleshooting queries is an essential skill for working with Teradata.
  • Basic SQL syntax can be used to run queries on Teradata.
  • Third-party plugins can enhance the functionality of Teradata.

Chapters

00:00 Introduction to Teradata

01:16 Understanding Data Warehousing and Data Lakes

03:35 Data Marts and Teradata

04:26 Exploring Teradata's Platform and Products05:41Getting Started with Teradata

06:25 Teradata Vantage and ClearScape Analytics

07:57 Understanding JupyterLab and Jupyter Notebooks

19:14 Exploring JupyterLab Extensions

28:18 Creating Tables and Loading Data in Teradata

48:02 Running Queries in Teradata

53:49 Troubleshooting Query

55:14 Running Basic Queries

56:00 Third-Party Plugins

57:14 Exploring Plugins

58:18 Next Steps and Further Exploration

58:45 Conclusion

Snowpal Products

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198 episodes

Artwork
iconPartager
 
Manage episode 397822339 series 3530865
Contenu fourni par Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

In this podcast episode, Krish explores Teradata from scratch. He starts by introducing Teradata as a complete cloud analytics and data platform, suitable for building large-scale data warehousing applications. He explains the concepts of data warehousing, data lakes, and data marts. Krish then explores Teradata's platform and products, including Teradata Vantage and ClearScape Analytics. He demonstrates how to get started with Teradata by creating an environment and exploring the JupyterLab interface. Krish creates tables, loads data, and runs queries in Teradata, providing hands-on experience and learning along the way. Krish explores the Teradata platform and its functionalities. He starts by troubleshooting a query and identifying the issue. Then, he runs basic queries to demonstrate the SQL syntax. Krish also discusses the availability of third-party plugins and explores some of them. Finally, he concludes the episode by discussing the next steps for further exploration and learning.

Takeaways

  • Teradata is a complete cloud analytics and data platform suitable for building large-scale data warehousing applications.
  • Data warehousing, data lakes, and data marts are important concepts to understand in the context of Teradata.
  • Teradata offers a range of products and platforms, including Teradata Vantage and ClearScape Analytics.
  • JupyterLab and Jupyter Notebooks can be used to interact with Teradata and perform data analysis and exploration.
  • Creating tables, loading data, and running queries are essential tasks in Teradata. Teradata is a powerful platform for data analysis and management.
  • Troubleshooting queries is an essential skill for working with Teradata.
  • Basic SQL syntax can be used to run queries on Teradata.
  • Third-party plugins can enhance the functionality of Teradata.

Chapters

00:00 Introduction to Teradata

01:16 Understanding Data Warehousing and Data Lakes

03:35 Data Marts and Teradata

04:26 Exploring Teradata's Platform and Products05:41Getting Started with Teradata

06:25 Teradata Vantage and ClearScape Analytics

07:57 Understanding JupyterLab and Jupyter Notebooks

19:14 Exploring JupyterLab Extensions

28:18 Creating Tables and Loading Data in Teradata

48:02 Running Queries in Teradata

53:49 Troubleshooting Query

55:14 Running Basic Queries

56:00 Third-Party Plugins

57:14 Exploring Plugins

58:18 Next Steps and Further Exploration

58:45 Conclusion

Snowpal Products

  continue reading

198 episodes

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