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Dive into the world of Language Model as I guide you through the process of training a small language model using GPT-2! In this tutorial, we'll explore how to leverage the powerful distilgpt2 transformer to understand diseases and symptoms better.
๐ Tutorial Highlights:
Dataset Loading: Learn how to load a relevant dataset on diseases and symptoms from Hugging Face datasets.
Tokenization and Model Setup: Understand the crucial steps of tokenization using GPT-2's tokenizer and initializing the language model.
Training Loop: Walk through the training loop, exploring each epoch, monitoring training and validation losses, and ensuring your model is learning effectively.
Hyperparameter Tuning: Fine-tune your model by adjusting batch sizes, learning rates, and more.
Text Generation: Witness the power of your trained model by generating meaningful text based on input strings.
๐ค Why Train a domain specific Language Model like MedLLM?
Training a language model allows you to teach your model about the relationships between diseases and symptoms, enabling it to generate informative and context-aware responses.
๐ Don't forget to like, comment, and subscribe for more exciting tutorials on Gen AI and machine learning! Your support keeps the channel thriving.
Join this channel to get access to perks:
https://www.youtube.com/channe....l/UC-zVytOQB62OwMhKR
๐ Download Code: https://github.com/AIAnytime/T....raining-Small-Langua
๐ Resources:
Hugging Face Model: https://huggingface.co/distilgpt2
Dataset Source: https://huggingface.co/dataset....s/QuyenAnhDE/Disease
#generativeai #llm #ai
Recorded live at the Agent Engineering Session Day from the AI Engineer Summit 2025 in New York. Learn more at https://ai.engineer and purchase tickets to our next event, the AI Engineer World's Fair, in SF June 3 - 5 here: https://ti.to/software-3/ai-en....gineer-worlds-fair-2
About Barry:
Barry is a member of technical staff on Anthropic's Applied AI team, focusing on developing agentic systems with enterprises and startups. Previously, he was a tech lead on the Monetization genAI team at Meta, where he claimed the inaugural 'AI Engineer' title. He holds degrees in Computer Science and Industrial Engineering from Northwestern
PyCharm Python Tutorial. PyCharm for Data Science.
https://github.com/datamites/p....ublic_datasets/tree/
https://github.com/datamites/b....an_house_price_pycha
00:00 Why PyCharm?
02:32 PyCharm Installation.
03:50 PyCharm Quick Overview
27:33 Data Science Project with PyCharm
34:43 Data Science Project src/feature_processing.py
45:18 Data Science Project Labelencoding
58:22 Data Science Project src/train.py
1:21:04 PyCharm integration with GitHub Repository
#Why is #PyCharm?
#How To do Data Science #Project with PyCharm?
Trainer: Mr.Ashok Veda - https://in.linkedin.com/in/ashokveda
Watch above video to understand Why PyCharm? and How To do Data Science Projects with PyCharm?
DataMites is providing global valid data science courses along with certifications. Join Certified Data Scientist Course and Get Certified in data science and machine learning.
Learn data science with python, statistics, maths, deep learning, sql, tableau, and machine learning.
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#DataScience
#MachineLearning
2010s feel good mix ~throwback playlist
Help me to get 100.000 subs: https://www.youtube.com/channe....l/UCBepjMYiqtq_u4ZFO
All of the tracks used in my youtube playlists are copyrighted music, so if you see ads in my videos, it's because youtube places them automatically based on copyright-owners needs, I have no control over it, so sorry about that. My channel is NOT a monetized channel. My only goal is sharing nostalgic, road trip music for everyone!
#2010sthrowback #2010snostalgia #2010sfeelgood
๐ข Listen on Spotify: https://magicmusic.lnk.to/theBestPop
Tracklist:
0:00:00 01 V.GIRL, lost., Pop Mage - Flowers
0:03:08 02 Harley Bird, lost. _ Pop Mage - Attention
0:06:50 02 Harley Bird, lost., Pop Mage - Save Your Tears
0:09:54 03 Benlon, Pop Mage - We Don_t Talk Anymore
0:13:53 03 lost. , Honeyfox, Pop Mage - I Like The Way You Kiss Me (Acoustic)
0:16:30 04 Die for You - The Weeknd (Tiyon)
0:20:38 05 Hannah Gracelynn, lost., Pop Mage - Infinity
0:23:51 05 Honeyfox, lost., Pop Mage - Dancing With Your Ghost
0:26:51 05 Honeyfox, lost., Pop Mage - Kings & Queens
0:29:49 05 lost. _ Pop Mage - Mood
0:32:33 05 Mingue, lost. _ Pop Mage - I Love You 3000
0:36:00 06 Honeyfox _ lost. _ Pop Mage - A Thousand Years
0:39:58 06 Honeyfox, lost., Pop Mage - Legends Never Die
0:42:34 06 loudoun, lost., Pop Mage - Until I Found You
0:45:39 07 Honeyfox, lost., Pop Mage - Let Me Down Slowly
0:49:11 07 Onyra, lost., Pop Mage - 7 Years
0:52:55 08 Jemma Johnson, lost., Pop Mage - See You Again
0:56:02 08 Vince Palmeri, lost., Pop Mage - I'm Good (Blue)
0:59:20 09 Honeyfox, lost., Pop Mage - Can't Help Falling In Love With You
1:02:06 09 lost., Honeyfox, Pop Mage - Heat Waves
1:04:56 10 Honeyfox, lost., Pop Mage - Comethru
1:08:08 10 Michelle Ray, lost., Pop Mage - Apologize
1:11:13 Simon Erics, lost. _ Pop Mage - Bad Liar
1:15:27 Timmy Commerford, lost., Pop Mage - At My Worst
1:18:43 Zelli King, lost., Pop Mage - Love Is Gone
1:21:40
--------------------------------------------
contact me: https://t.me/locxiaolin
SunSet Mood ยฉ Magic Music Group LLC 2022. We own rights to all content uploaded. Any reproduction of this content will result in a Content ID claim.
Usage Policy: https://magicmusicllc.com/
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Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=L_Guz73e6fw
Please support this podcast by checking out our sponsors:
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GUEST BIO:
Sam Altman is the CEO of OpenAI, the company behind GPT-4, ChatGPT, DALL-E, Codex, and many other state-of-the-art AI technologies.
PODCAST INFO:
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โก How to Create Hyperlinks in HTML with Example
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....#html #css #javascript #programming #nareshit #coding
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๐ฅ ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ฒ๐๐๐ ๐๐๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐ซ๐๐ข๐ง๐ข๐ง๐ (Use Code "๐๐๐๐๐๐๐๐๐") : https://www.edureka.co/mysql-dba
This Edureka tutorial video on MySQL Workbench explains all the fundamentals of MySQL Workbench with examples
๐ข๐ข ๐๐จ๐ฉ ๐๐ ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐ญ๐จ ๐๐๐๐ซ๐ง ๐ข๐ง ๐๐๐๐ ๐๐๐ซ๐ข๐๐ฌ ๐ข๐ข
โฉ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU
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( ** Apache Spark Training - https://www.edureka.co/apache-....spark-scala-certific ** )
This Edureka Spark Architecture Tutorial video will help you to understand the Architecture of Spark in depth. It includes an example where we will create an application in Spark Shell using Scala. It will also take you through the Spark Web UI, DAG and Event Timeline of the executed tasks.
The following topics are covered in this video:
1. Apache Spark & Its features
2. Spark Eco-system
3. Resilient Distributed Dataset(RDD)
4. Spark Architecture
5. Word count example Demo using Scala.
Check our complete Apache Spark and Scala playlist here: https://goo.gl/ViRJ2K
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#ApacheSparkTutorial #SparkArchitecture #Edureka
How it Works?
1. This is a 4 Week Instructor led Online Course, 32 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to work on a project, based on which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - -
About the Course
This Spark training will enable learners to understand how Spark executes in-memory data processing and runs much faster than Hadoop MapReduce. Learners will master Scala programming and will get trained on different APIs which Spark offers such as Spark Streaming, Spark SQL, Spark RDD, Spark MLlib and Spark GraphX. This Edureka course is an integral part of Big Data developer's learning path.
After completing the Apache Spark and Scala training, you will be able to:
1) Understand Scala and its implementation
2) Master the concepts of Traits and OOPS in Scala programming
3) Install Spark and implement Spark operations on Spark Shell
4) Understand the role of Spark RDD
5) Implement Spark applications on YARN (Hadoop)
6) Learn Spark Streaming API
7) Implement machine learning algorithms in Spark MLlib API
8) Analyze Hive and Spark SQL architecture
9) Understand Spark GraphX API and implement graph algorithms
10) Implement Broadcast variable and Accumulators for performance tuning
11) Spark Real-time Projects
- - - - - - - - - - - - - -
Who should go for this Course?
This course is a must for anyone who aspires to embark into the field of big data and keep abreast of the latest developments around fast and efficient processing of ever-growing data using Spark and related projects. The course is ideal for:
1. Big Data enthusiasts
2. Software Architects, Engineers and Developers
3. Data Scientists and Analytics professionals
- - - - - - - - - - - - - -
Why learn Apache Spark?
In this era of ever-growing data, the need for analyzing it for meaningful business insights is paramount. There are different big data processing alternatives like Hadoop, Spark, Storm and many more. Spark, however, is unique in providing batch as well as streaming capabilities, thus making it a preferred choice for lightning fast big data analysis platforms.
The following Edureka blogs will help you understand the significance of Spark training:
5 Reasons to Learn Spark: https://goo.gl/7nMcS0
Apache Spark with Hadoop, Why it matters: https://goo.gl/I2MCeP
For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
๐ด ๐๐๐๐ซ๐ง ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐
๐จ๐ซ ๐
๐ซ๐๐! ๐๐ฎ๐๐ฌ๐๐ซ๐ข๐๐ ๐ญ๐จ ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐จ๐ฎ๐๐ฎ๐๐ ๐๐ก๐๐ง๐ง๐๐ฅ: https://edrk.in/DKQQ4Py
This video on Artificial Intelligence gives you a brief introduction to AI discussing how it can be a threat as well as useful.
๐ข๐ข ๐๐จ๐ฉ ๐๐ ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐ญ๐จ ๐๐๐๐ซ๐ง ๐ข๐ง ๐๐๐๐ ๐๐๐ซ๐ข๐๐ฌ ๐ข๐ข
โฉ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU
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๐ต Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH
๐ด ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ข๐ฏ๐๐ซ๐ฌ๐ข๐ญ๐ฒ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ๐ฌ
๐ต Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT
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๐ต Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8
๐Advanced Certificate Program in Cybersecurity with E&ICT Academy, IIT Guwahati: https://bit.ly/3Pd2utG
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Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free) for more information.
Learn Elixir and functional programming in this coruse for beginners. By the end of this course, you'll be able to build your own Elixir applications and confidently apply functional programming concepts in your projects.
โ๏ธ Course created by @octallium
๐ป Github Repo: https://github.com/octallium/f....unctional-programmin
โญ๏ธ Contents โญ๏ธ
โจ๏ธ (0:00:00) Introduction
โจ๏ธ (0:01:45) What is Elixir?
โจ๏ธ (0:04:07) What is functional programming?
โจ๏ธ (0:06:57) What is Recursion?
โจ๏ธ (0:13:04) Installing Elixir & Setting Up VS Code
โจ๏ธ (0:15:03) Learning & Unlearning
โจ๏ธ (0:18:29) Pattern Matching
โจ๏ธ (0:22:35) Introduction to LiveBook
โจ๏ธ (0:26:04) Understanding Immutability
โจ๏ธ (0:30:22) Actor Model
โจ๏ธ (0:34:48) Hello World in Elixir
โจ๏ธ (0:43:25) Data Types - Atom
โจ๏ธ (0:50:25) Data Types - String
โจ๏ธ (1:45:29) Data Types - Charlist, Process & List
โจ๏ธ (1:14:54) Data Types - Tuples & Keyword List
โจ๏ธ (1:19:27) Data Types - Maps
โจ๏ธ (1:25:38) Data Types - Struct
โจ๏ธ (1:30:09) Flow Control
โจ๏ธ (1:39:54) Mix Project
โจ๏ธ (1:41:19) Head & Tail Recursion
โจ๏ธ (2:00:17) Recursion - Sum Digits
โจ๏ธ (2:15:31) Recursion - Factorial
โจ๏ธ (2:24:57) Recursion - Reverse Number
โจ๏ธ (2:32:45) Lists Are LinkedList!!!
โจ๏ธ (2:35:53) List Sum
โจ๏ธ (2:47:04) Reverse List
โจ๏ธ (2:52:58) List Map
โจ๏ธ (3:04:34) Concat
โจ๏ธ (3:09:23) FlatMap
โจ๏ธ (3:14:07) Mid Review
โจ๏ธ (3:15:00) Seven Wonders
โจ๏ธ (3:40:27) For Comprehension
โจ๏ธ (3:42:00) Expense Manager
โจ๏ธ (4:04:17) Project Stats
โจ๏ธ (5:16:30) Final Words
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๐ฅ ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ฒ๐๐๐ ๐๐๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐ซ๐๐ข๐ง๐ข๐ง๐ : https://www.edureka.co/mysql-dba (Use Code "๐๐๐๐๐๐๐๐๐")
This Edureka video on 'SQL Triggers' will help you understand the concept of triggers in SQL. Below are the topics covered in this SQL Triggers For Beginners:
00:00:00 Introduction
00:00:21 Agenda
00:00:48 What is a Trigger
00:02:21 Syntax of Trigger
00:04:29 Nested Triggers
00:05:19 Operation in Trigger
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** Data Science Certification using R: https://www.edureka.co/data-science **
This Edureka "Data Science Applications" video takes you through the various domains in which data science is being deployed today, along with some potential applications of this technology. The world today runs on data and this video shows exactly that.
Check out our Data Science Tutorial blog series: http://bit.ly/data-science-blogs
Check out our complete Youtube playlist here: http://bit.ly/data-science-playlist
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#datascience #statisticsfordatascience #rstatistics #datascienceessentials #datasciencewithr
--------------------------------------
How it Works?
1. This is a 30-hour Instructor-led Online Course.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!
-------------------------------------
About the Course
Edureka's Data Science Training lets you gain expertise in Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes using R. Data Science Training encompasses a conceptual understanding of Statistics, Time Series, Text Mining and an introduction to Deep Learning. Throughout this Data Science Course, you will implement real-life use-cases on Media, Healthcare, Social Media, Aviation and HR.
-------------------------------------
Who should go for this course?
The market for Data Analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Our Data Science Training helps you to grab this opportunity and accelerate your career by applying the techniques on different types of Data. It is best suited for:
Developers aspiring to be a 'Data Scientist'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'R' professionals who wish to work Big Data
Analysts wanting to understand Data Science methodologies
-------------------------------------
Why learn Data Science?
Data science is an evolutionary step in interdisciplinary fields like the business analysis that incorporate computer science, modelling, statistics and analytics. To take complete benefit of these opportunities, you need a structured training with an updated curriculum as per current industry requirements and best practices.
Besides strong theoretical understanding, you need to work on various real-life projects using different tools from multiple disciplines to gather a data set, process and derive insights from the data set, extract meaningful data from the set, and interpret it for decision-making purposes.
Additionally, you need the advice of an expert who is currently working in the industry tackling real-life data-related challenges.
-------------------------------------
Got a question on the topic?
Please share it in the comment section below and our experts will answer it for you.
For Data Science Training and Certification, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).
** Tableau Certification Training: https://www.edureka.co/tableau....-certification-train **
"Level of Detail" is a new syntax which, both, simplifies and extends Tableauโs calculation language by making it possible to address level of detail questions directly. In this Edureka tutorial, youโll gain insights into how LOD Expressions work, along with a more in-depth look at the different types of LOD Expressions and their respective use cases.
01:18 Introduction to LOD
06:12 Include Calculation
06:46 Exclude Calculation
07:12 Fixed Calculation
08:21 Aggregation & LOD
11:14 Nesting in LOD
12:16 Data Sources Supported by LOD
12:26 How to Create LOD Expressions
17:00 Level of Detail vs Table Calculations
18:04 Limitations of LOD
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Tableau playlist here: https://goo.gl/NTpehs
Tableau Blog Series: http://bit.ly/2Hv6LsR
#edureka #tableaulod #levelofdetailtableau #tableaututorial #tableaucertification #tableaudataanalysis #tableauvisualization #tableau
How it Works?
This is a 5 Week Instructor-led Online Course, 25 hours of assignment and 20 hours of project work
We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - - - - -
About the Course
Edureka's Tableau Certification training is designed to help you become a top Tableau Professional. During this course, our expert Tableau instructors will help you:
Understand the need for visualization
Make advance insightful visuals
Perform scripting
Create comprehensive dashboards
Connect with multiple sources
Integrate Tableau with R
- - - - - - - - - - - - - - - - - - -
Who should go for this course?
The following professionals can go for this course :
Data Scientists
Business Analysts
Statisticians and Analysts
Project Managers
- - - - - - - - - - - - - - - -
Why learn Tableau?
Tableau is a leader in Gartner's magic quadrant in BI & Data analytic field. Being used in various leading domains like Business Intelligence, Marketing, Big Data Hadoop, etc., Tableau is one skill set most professional wish to carry ahead in their career. As per Indeed.com, the mean salary of Tableau professional is $ 100,000.
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
For Tableau Training and Certification, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.
๐ฅEdureka MongoDB Certification Training: https://www.edureka.co/mongodb
This Edureka MongoDB Tutorial gives you an introduction to NoSQL databases and MongoDB with examples.
00:00 Introduction
00:36 Agenda
01:01 Fundamentals of Databases
09:29 Introduction to Database categories
11:12 Database Categories SPecifications
๐ดSubscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
------------------------------------Edureka Online Training and Certification---------------------------------
๐ต DevOps Online Training: https://bit.ly/2BPwXf0
๐ฃ Python Online Training: https://bit.ly/2CQYGN7
๐ต AWS Online Training: https://bit.ly/2ZnbW3s
๐ฃ RPA Online Training: https://bit.ly/2Zd0ac0
๐ต Data Science Online Training: https://bit.ly/2NCT239
๐ฃ Big Data Online Training: https://bit.ly/3g8zksu
๐ต Java Online Training: https://bit.ly/31rxJcY
๐ฃ Selenium Online Training: https://bit.ly/3dIrh43
๐ต PMP Online Training: https://bit.ly/3dJxMTW
๐ฃ Tableau Online Training: https://bit.ly/3g784KJ
-----------------------------------------Edureka Masters Programs---------------------------------------------------
๐ตDevOps Engineer Masters Program: https://bit.ly/2B9tZCp
๐ฃCloud Architect Masters Program: https://bit.ly/3i9z0eJ
๐ตData Scientist Masters Program: https://bit.ly/2YHaolS
๐ฃBig Data Architect Masters Program: https://bit.ly/31qrOVv
๐ตMachine Learning Engineer Masters Program: https://bit.ly/388NXJi
๐ฃBusiness Intelligence Masters Program: https://bit.ly/2BPLtn2
๐ตPython Developer Masters Program: https://bit.ly/2Vn7tgb
๐ฃRPA Developer Masters Program: https://bit.ly/3eHwPNf
-----------------------------------------Edureka PGP Courses---------------------------------------------------
๐ตArtificial and Machine Learning PGP: https://bit.ly/2Ziy7b1
๐ฃCyberSecurity PGP: https://bit.ly/3eHvI0h
๐ตDigital Marketing PGP: https://bit.ly/38cqdnz
๐ฃBig Data Engineering PGP: https://bit.ly/3eTSyBC
๐ตData Science PGP: https://bit.ly/3dIeYV9
๐ฃCloud Computing PGP: https://bit.ly/2B9tHLP
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#Edureka #MongoDBEdureka #MongoDBTutorial #MongoDBTrainingCertification #MongoDBTraining #learnMongoDB #withMe
-------------------------------
About the Course
This MongoDBยฎ Training Certification course will help you master one of the most popular NoSQL databases. This course is designed to equip you with skills of a Mongo DB experienced professional. You will gain knowledge in mastering data modelling, ingestion, query and Sharding, and much more, to become job ready. The course covers a range of NoSQL and MongoDBยฎ topics which will help you gain various development, administering, and engineering skills.
-------------------------------
Course Objective
Gain insight into the 'Roles' played by MongoDBยฎ experts
Learn how to design Schema using Advanced Queries
Troubleshoot Performance issues
Understand MongoDBยฎ Aggregation framework
Learn MongoDBยฎ Backup and Recovery options and strategies
Understand scalability and availability in MongoDBยฎ using Sharding
Set up a replicated cluster, Managing ReplicaSets, etc.
Learn Shards, Keys, Config Server, Query Router, etc.
Learn about various MongoDBยฎ tools to develop and deploy your applications
Learn MongoDBยฎ administration activities - Health Check, Backup, Recovery, Performance tuning, etc.
Understand Hadoop and MongoDB Integration
Perform Data Migration in MongoDB with Hadoop (MongoDB to Hive)
Learn to integrate MongoDB with tools like Jaspersoft and Pentaho
Integrate MongoDB with GUI Tool Robomongo
Manage MongoDB deployments using MongoDB Cloud products
Who should go for this course?
Database Admin
Database Server Engineer
Data Analytics and Visualization Engineer
Developer working on Web, Cloud, Mobile, and other social technologies
Applications Engineer
All topics related to โMongoDBโ have extensively been covered in our course โMongoDB Development and Administrationโ.
For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775
Welcome back to US Military Power Channel, today's episode we will uncover "The US Army's New Super Robo-Dog With Sniper Rifle".
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