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1.5 Years of Spark Knowledge in 8 Tips

The article “My learnings from Databricks customer engagements” outlines essential tips for working with Apache Spark gained from experience with large retail organizations over the past 18 months. The tips cover various aspects including understanding Spark’s structure, optimizing pipelines, managing disk spill, using SQL syntax, employing glob filters, and leveraging reduce with DataFrame.union. Additionally, the author recommends utilizing ChatGPT for complex project assistance. Each tip is aimed at improving the performance and efficiency of Spark use.

1.5 Years of Spark Knowledge in 8 Tips

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AI Solutions for Middle Managers

1.5 Years of Spark Knowledge in 8 Tips

If you want to evolve your company with AI, stay competitive, use for your advantage 1.5 Years of Spark Knowledge in 8 Tips.

Discover how AI can redefine your way of work.

  • Identify Automation Opportunities: Locate key customer interaction points that can benefit from AI.
  • Define KPIs: Ensure your AI endeavors have measurable impacts on business outcomes.
  • Select an AI Solution: Choose tools that align with your needs and provide customization.
  • Implement Gradually: Start with a pilot, gather data, and expand AI usage judiciously.

For AI KPI management advice, connect with us at hello@itinai.com. And for continuous insights into leveraging AI, stay tuned on our Telegram or Twitter.

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Consider the AI Sales Bot from itinai.com/aisalesbot designed to automate customer engagement 24/7 and manage interactions across all customer journey stages.

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