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What powers Flipkart Data Team? Stack and Tools
Meme, News and more
Arun Chinnachamy
September 06, 2023
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Another mid-week, it's a wonderful opportunity to pause and reflect on the strides we are making, not just in our personal and professional lives, but also in the grander scheme of technological advancements. This Wednesday, we bring you a blend of inspiration and innovation, a glimpse into the future that is being shaped by Artificial Intelligence. and another new beginning.
Few Memes and Quotes to keep you motivated
Before we jump in, Today’s post is sponsored by “tl;dr sec”. The best way to keep up with cybersecurity research. Join >18,000 security professionals getting the best tools, talks, and resources right in their inbox for free.
What Powers Flipkart Data Team?
Flipkart, a prominent e-commerce entity based in Bangalore, India, has established a robust data stack to streamline its operations and enhance customer experiences. At the core of its data science endeavors are several key tools that facilitate various aspects of data handling and analysis.
In data science, the right tool for the right job is the essence of precision and excellence.
For Customer Data Platform (CDP) and Event Tracking, Flipkart relies on "Segment", a platform known for its versatility in collecting, storing, and routing customer data. When it comes to Data Streaming, Flipkart utilizes a powerful trio of Apache Kafka, Apache Flink, and Apache Storm, each offering unique capabilities in processing large streams of data in real-time.
To further automate processes without coding, Flipkart employs "Kissflow", a tool renowned for its no-code automation features. On the Business Intelligence (BI) front, Flipkart leverages the analytical prowess of "Power BI" and "Tableau", which are instrumental in deriving actionable insights from data.
These tools not only stand as testimony to Flipkart's commitment to leveraging modern data science technologies but also paint a picture of a company at the forefront of utilizing data to drive business intelligence and customer satisfaction.
| Category | Tools Used |
|---|---|
| Company Description | Flipkart is a leading e-commerce company based in Bangalore, India, and incorporated in Singapore. |
| Customer Data Platform (CDP) | Segment |
| Event Tracking | Segment |
| Data Streaming | Apache Kafka, Apache Flink, Apache Storm |
| No-Code Automation | Kissflow |
| Business Intelligence (BI) | Power BI, Tableau |
Do you like to learn more about data stacks of companies? |
This meme is to remind us, Statistics forms the backbone of data science, offering tools and techniques to extract meaningful insights from large datasets. It helps in identifying patterns, making predictions, and driving informed decisions. Understanding statistics enables data scientists to design robust algorithms and models, ensuring the reliability and validity of findings. In essence, a strong foundation in statistics is vital for leveraging the full potential of data science, fostering innovation, and contributing to business growth and efficiency. So let us focus on the basics.
Seven Archetypes of Data Scientist Roles
The Analytics Guru: Focuses on company goal measurement and performance assessment, often leveraging SQL for analytics.
The Feature Builder: Works towards enhancing products using data science and machine learning techniques, with a strong emphasis on understanding target customers.
The Infra Builder (ML Engineer): Concentrates on creating and optimizing infrastructure for seamless integration of ML models and data science features into products.
The Internal Only: Predominantly found in larger companies, this role involves developing ML tools for internal use to streamline processes.
The Researcher: Engages in pure research to explore cutting-edge technologies and ideas that could potentially shape the industry's future.
The Solutions Engineer: Primarily involved in building data-driven features for customers, often in data science consulting or firms offering data-related software.
The Everything to Everyone: A multifaceted role requiring a broad skill set to handle various responsibilities, often seen in companies looking to save on costs.
Read further at our blog. It is important to know the difference and skills of each type.
Top Picks for this week
Why You Shouldn't Be Afraid of Artificial Intelligence - This opinion piece argues that the fears surrounding AI are unfounded, and encourages individuals to invest in AI-related skills and knowledge to remain relevant in an AI-driven world.
Wonderlust? Apple Fans: It’s September 🥳 September is here and so are new Apple products. Apple has announced its next product event on September 12, where we can expect a lineup of iPhone 15 alongside Apple Watch Series 9 and Apple Ultra 2. The Tagline is “Wonderlust”. Intrigued?
X has updated Its Privacy Policy - Now Twitter uses its public data to train their own machine learning models.