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Powering LinkedIn Big Data Through Open Source Technologies | Big Data Use Cases | Simplilearn

big data

big data use cases

big data open source

open source big data analytics tools

apache spark framework

apache gobblin

apache gobblin framework

big data applications

linkedin

linkedin and big data

open source technologies

stack infrastructure

big data and data science

data science

artificial intelligence

big data analytics

data

vasanth rajamani

simplilearn hadoop

simplilearn big data

simplilearn

Автор: Simplilearn

Загружено: Прямой эфир состоялся 2 дек. 2020 г.

Просмотров: 3 008 просмотров

Описание:

🔥Professional Certificate Program in Data Engineering - https://www.simplilearn.com/pgp-data-...
🔥IITK - Professional Certificate Course in Data Science (India Only) - https://www.simplilearn.com/iitk-prof...
🔥Purdue - Professional Certificate in Data Science and Generative AI - https://www.simplilearn.com/pgp-data-...

LinkedIn manages and utilizes data from over 700 million users worldwide. LinkedIn has learned to use this Big Data repository to power AI, Data Science, and Data Products. Over the years, its Big Data operations have evolved to use a sophisticated infrastructure stack that includes:
1. Data Ingestion
2. Distributed Storage
3. Privacy
4. Scheduled Compute
5. Interactive Compute

One of the ways that LinkedIn has kept pace with its growth and increased functionality is through Open Source technologies. Vasanth Rajamani, a Director at LinkedIn, will discuss:

1. The role that Big Data plays at LinkedIn
2. The infrastructure stack
3. Examples of Open Source technologies in the infrastructure stack, including Apache Spark and the Apache Gobblin ingestion framework

Vasanth will tell you how you can engage with the Open Source community and evaluate Big Data as a student or as a mid-career professional. The live webinar will include a Q&A with Vasanth. (If you register and can’t make the live webinar, we will send you a link to the recording after the event.)

About the Speaker
Vasanth is a Director at LinkedIn. He manages big data platforms and infrastructure at Linkedin (e.g. Hadoop, Spark, Deep Learning Training, Gobblin, Dali, Azkaban). His professional experience includes Oracle, Microsoft, and Mi5 Networks. He earned his PSEE at Purdue University and his MSEE and Ph.D. at the University of Texas at Austin.

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Hadoop training videos: https://bit.ly/3l2hxWb

➡️ About Data Science Course in collaboration with IBM

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Masterclasses from IBM experts
✅ Dedicated live sessions by faculty of industry experts
✅ Industry-recognized Data Scientist Master’s certificate from Simplilearn
✅ Industry-recognized IBM certifications for IBM courses
✅ Ask-Me-Anything (AMA) sessions with IBM leadership
✅ Capstone from 3 domains and 25+ projects
✅ Exclusive hackathons conducted by IBM
✅ Lifetime access to self-paced learning content
✅ Program crafted to initiate your journey as a Data Scientist
✅ Integrated labs for hands-on learning experience

Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Explainable AI
✅ Conversational AI
✅ Large Language Models
✅ Model Building and Finetuning
✅ Ensemble Learning
✅ Data Visualization
✅ Database Management

👉 Learn More At: https://www.simplilearn.com/pgp-data-...

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

Powering LinkedIn Big Data Through Open Source Technologies | Big Data Use Cases | Simplilearn

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