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Kalyan Tummala
Product Marketing Leader | Large, Scale-up, and Startup company experience | UC Berkeley
Kalyan Tummala is a highly experienced Technical and Product Marketing Manager with a strong background in B2B and B2C markets. He possesses an MBA from UC Berkeley Haas School of Business, where he focused on Entrepreneurship, Marketing Strategy, Data Analytics, and Venture Capital. He also holds a Masters in Electrical Engineering from Arizona State University, as well as a B.Tech in Electronics and Communication from Vellore Institute of Technology.
Tummala has held various high-level positions, including Principal Product Marketing Manager at VMware, Senior Manager of Product Management/Marketing at Altera, and Product Marketing Manager at Intel Corporation. Currently, he serves as the Product Marketing Lead at Qualtrics, where he is responsible for driving the company's go-to-market strategy, analytics, and partnerships.
In addition to his technical and marketing skills, Tummala is also an entrepreneur, having co-founded Handld. He is highly skilled in program and product management, growth marketing, and sales partnerships. His background makes him an ideal candidate for roles that require a strong understanding of tech, marketing, and strategy.
Highlights
🚨 <New blog> #Databricks Lakehouse has become the new hub for Data, AI, and Analytics for many organizations. However, ingesting organizational data spread across disparate sources into Databricks still remains a challenge 😥 .
Depending on the data source, Databricks' documentation suggests approximately 6 ways - including their own #AutoLoader- to get your data into their platform.
Grainite radically simplifies this architecture. In this blog, I cover how Grainite acts as an intelligent middleware to help ingest any type of source data into Databricks with ease. In addition to ingestion, it provides the ability to perform stateful transformations, exactly-once processing, and even query that data on the fly.
If you are a Databricks customer and having difficulties with data ingestion, reach out to us #databricks #dataingestion #streaming #statefultransformation
In the nascency of a software category, the use cases are typically not clear. This leads to multiple vendors offering point products trying to address various needs of customers.
However, as a category matures and clear use cases emerge, it is time to move to a unified platform. In this blog, I make a case as to why you have to adopt a platform like Grainite when developing #Eventdriven applications.
Open for feedback. Let me know if you want to learn more about Grainite or how you can adopt the platform approach to your use cases https://lnkd.in/g-nEQmNZ
#thisistheway #realtimedata #streamingdata
