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  • bytesofintelligences / machine-learning-engineer-roadmap

    data-engineer-roadmap, A Machine Learning Engineer roadmap typically involves mastering programming languages (Python, R), mathematics (linear algebra, calculus), statistics, and deep learning frameworks (TensorFlow, PyTorch) while gaining practical experience in data preprocessing, model development, and deployment.

    From user bytesofintelligences

  • chandinidas / cloud-services-company-in-india

    data-engineer-roadmap, As is widely known, the growth of Data in the present age of Information Technology is immense and overwhelming. The problem of storing such quantities of data is a major research ground for enthusiasts today and owing to their consistent efforts over the last decade, the solution of Cloud as a service was devised. Cloud storage enables users to store huge amounts of data remotely and without the ownership of any hardware units. Imagine how tedious and expensive it would have been if all firms today had to host their own storage units for data. It not only would have been a huge overhead expense, but also would have restricted the company’s data and computing flexibility. OpenTeQ provides you with expertise to wield extremely popular and effective cloud services with ease. We make sure that our experts design the most appropriate cloud architecture which fits the use case of your firm such that there is ease of data access, data management and processing. Our service enables you with the advantage of saving investments on skilled cloud engineers and also advanced hardware units unnecessarily. We ensure that your storage and processing requirements are met in along with your data management schemes. Just choose from the several cloud services we offer, and rest assured while we arrange for a smooth roadmap! Read more about <a href="http://www.openteqconsultants.com/cloud-services.html">Cloud Services Company In India</a>

    From user chandinidas

  • girijesh-devops / python_richforever

    data-engineer-roadmap, # Python Developer Roadmap Folks, Here are 10 important things to deep-dive into Python Developer Role! Also, the items are listed in no particular order. You don't need to learn everything listed here, however knowing what you don't know is as important as knowing things. ## **1. Learn the basics** * Basic syntax * Variable and data types * Conditionals * List, Tuples, Sets, Dictionaries * Type Casting, Exception Handling * Functions, Buitlin functions ## **2. Advanced Core Python** * Object Oriented Programming(OOP) * Data Structures and Algorithms * Regular Expressions * Decorators * Lambdas * Modules * Iterators ## **3. Version Control Systems** * Basic Git Usage * Repo Hosting Services(GitHub, GitLab, BitBucket) ## **4. Package Managers** * PyPI * PIP ## **5. Learn Framework(Web Development)** - Synchronous Framework - Django, Flask, Pyramid - Asynchrnous Framework - Tornado, Sanic, aiohttp, gevent ## **6. Desktop Applications** * Tkinter * PyQT * Kivy ## **7. Scraping** - Web scraping is an idea that alludes to the way toward gathering and handling huge information from the web utilizing programming or calculation. Absolutely, scratching information from the web is a significant ability to have in case you’re an information researcher, developer, or somebody who examinations tremendous amounts of information. - Python is a successful web scrapping programming language. Essentially, you don’t have to learn muddled codes in case you’re a Python master who can do numerous information creeping or web-scratching undertakings. Notwithstanding, the three most notable and usually utilized Python systems are Requests, Scrappy, and BeautifulSoup. ## **8. Scripting** - Python is a prearranged language since it utilizes a mediator to interpret and run its code. Also, a Python content can be an order that runs in Rhino, or it very well may be an assortment of capacities that you can import as a library of capacities in different contents. - In web applications, specialists use Python as a “prearranging language.” Because it can computerize a particular arrangement of assignments and further develop execution. Accordingly, designers lean toward Python for building programming applications, internet browser destinations, working framework shells, and a few games. **Python Scripting Tools You Can Implement Easily:** - DevOps: Docker, Kubernetes, Gradle, and so on - Framework Admin ## 9. Artificial Intelligence / Data Science - Shrewd engineers consistently lean toward Python for AI because of its countless advantages. Python’s creative libraries are one of the primary motivations to pick Python for ML or profound learning. Additionally, Python’s information taking care of limits is extraordinary not with standing its speed. - Being exceptionally strong in ML and AI, Python is presently getting more foothold from different enterprises like travel, Fintech, transportation, and medical services. Tools You Can Use For Python Machine Learning: Tensorflow PyTorch Keras Scikit-learn Numpy Pandas ## 10. Ethical Hacking With Python - Ethical hacking is the way toward utilizing complex instruments and strategies to recognize potential dangers and weaknesses in a PC organization. Python, quite possibly the most well-known programming dialect because of its huge number of instruments and libraries, is additionally utilized for moral hacking. - It is so generally utilized by programmers that there are plenty of various assault vectors to consider. Additionally, it just takes little coding information, simplifying it to compose content. - Tools For Python Hacking SQL infusion Meeting seizing Man in the Middle Systems administration IP Adress Double-dealing ###### Python is a programming language that has acquired prominence and is sought after. Additionally, Python developer’s interest has soar today, requiring information science with Python preparation. Thus, on the off chance that you have the chance to participate in element-related graphs and appreciate experience altogether, this work makes you fortunate in this field of programming. ###### To close this Python developer roadmap empowers an develoepr to prevail in Python programming on the off chance that you achieve the information and an essential comprehension of the field.

    From user girijesh-devops

  • gouthamiexcelr / internet-of-things-training-in-malaysia

    data-engineer-roadmap, IoT – Internet of Things is a relatively new concept in Malaysia. As the potential of IoT is vast, the government of Malaysia decided to encourage the IoT technologies across different industries. With strong support from the government, locally based enterprises would find it easier to adopt and develop IoT technologies in their productions and daily operations. Firstly, as Malaysia is preparing to join the wave of countries currently immersed in Industry 4.0, especially in its manufacturing and heavy industry sector, the government is pushing for more budget allocation for Industry 4.0. Moreover, with the current strong support from the government, more enterprises, especially SMEs, will be encouraged to adopt IoT technologies in their production, such as remote monitoring or automation. To create a national ecosystem to enable the proliferation of use and industrialization of IoT as a new source of economic growth. IoT has the ability to transfer data over a network without requiring interaction by human-to-human or human-to-computer and interrelated mechanical and digital machines, computing devices, objects, animals or people that are provided with sole identifiers. It creates the information and knowledge to boost human intelligence, and productivity to enhance the quality of life. IoT technology in Malaysia is based on two major market trends market and technology. The effect of these trends will enhance productivity, optimize resources by implementing new technology while maintaining individual needs. The economic potential of IoT for Malaysia is expected to experience exponential growth beyond 2020. Technology opportunities can be created by IoT in Malaysia with forecast technology opportunities for application and services, and device producers. Agriculture, healthcare, manufacturing, and transportation are sectors that are identified to have the most potential for IoT deployment in Malaysia. National IoT Strategic Roadmap aimed at nurturing a national ecosystem, Malaysia has articulated plans to get in on the IoT game and make Malaysia a regional IoT development hub. The roadmap estimates that Malaysia has a strong base in giving the well-developed telecommunications infrastructure, vibrant electrical and electronics industry, policy incentives and frameworks for intellectual property and cybersecurity protection to spur IoT domestically. With knowledge of IoT becoming a necessary skill set for data scientists in Malaysia, the IoT training in Malaysia is ideal for professionals and fresher’s looking to enter the field of automated products and communication interfaces. Focusing on data capture, storage and data analytics, embedded electronics and client-server architecture, the course guides students to be adept at carving practical applications for modern day industries. In IoT training, participants will discuss the Internet of Things (IoT) framework for the digital transformation and IoT strategic leadership. With ExcelR, You will gain an intensive overview of IoT in this new evolution in the sensor, cloud, and big data. In Internet of Things training, you will be able to design independent IoT devices for sectors like retail, manufacturing and construction, understand the advantages of cloud storage, understand IoT communication protocols, comprehend IoT architecture and modern microcontrollers for data capture and signal relaying, make hardware compatible MCUs, set up a HTTP server and able to deploy python modules for basic data analytics. The Internet of Things training (IoT training) in Malaysia is suitable for the people with good exposure towards IoT technology will be the best catch for the Industry and the people who are business analysts, technical architects, software engineers, IT managers, executives, and entrepreneurs can do this IoT training.

    From user gouthamiexcelr

  • kaustubhyerkade / kaustubh-yerkade

    data-engineer-roadmap, DE Stuff - Programming & DSA in Python Distrubuted computation & storage -Hadoop - imp - spark,spark sql file format - json,avro,parquet type of data - structiured & semi sturectured processing mechniasm - batch & real time pub sub -kafka or AWS Kinesis data warehuse desginng amazon - ecomerce, netflix sql complex transactional & no sql databases - key value ,document,columanr base,graph base db,-mongodb,caseendra,hbase - data visualization tools- ETL tools cloud services- experience 🔥𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀🔥 🔴 Data Engineer Roadmap Document : ➡️https://docs.google.com/document/d/1g...​ 🔴 Python : ➡️ https://www.youtube.com/watch?v=_uQrJ...​ ➡️ https://www.programiz.com/python-prog...​ 🔴 Scala : ➡️ https://www.youtube.com/watch?v=LQVDJ...​ ➡️ http://allaboutscala.com/​ 🔴 Java : ➡️ https://www.youtube.com/watch?v=eIrMb...​ ➡️ https://beginnersbook.com/java-tutori...​ 🔴 Linux, Unix, Shell Scripting : ➡️ https://practice.geeksforgeeks.org/ba...​ ➡️ Above one is free course with invitation code - ELEARNINGBLINUX 🔴 Data Structures & Algorithms : ➡️ https://www.youtube.com/watch?v=5_5oE...​ ➡️ https://www.geeksforgeeks.org/​ ➡️ https://leetcode.com/​ 🔴 DBMS : ➡️ https://www.youtube.com/watch?v=kBdlM...​ ➡️ https://www.studytonight.com/dbms/​ 🔴 SQL Scripting : ➡️ https://www.youtube.com/watch?v=HXV3z...​ ➡️ https://www.youtube.com/watch?v=7S_tz...​ ➡️ https://www.w3schools.com/sql/​ 🔴 Basic Terminologies In BigData : ➡️ https://data-flair.training/blogs/wha...​ ➡️ https://www.edureka.co/blog/what-is-b...​ 🔴 Data Exploration Libraries : ➡️ Pandas - https://www.youtube.com/watch?v=UB3DE...​ ➡️ NumPy - https://www.youtube.com/watch?v=DI8wg...​ 🔴 Data Warehousing Concepts : ➡️ https://www.youtube.com/watch?v=J326L...​ ➡️https://www.tutorialspoint.com/dwh/dw...​. 🔴 BigData Frameworks (Hadoop, Hive, Spark, Sqoop, Nifi, Flume) : ➡️ https://www.youtube.com/results?searc...​ ➡️ https://www.youtube.com/user/edurekaIN​ ➡️ https://data-flair.training/​ ➡️ https://www.edureka.co/​ 🔴 Workflow Schedulers, Dependency Management : ➡️ https://www.youtube.com/watch?v=niJ06...​ ➡️ https://www.youtube.com/watch?v=6RebQ...​ 🔴 NoSQL Databases : ➡️ HBase - https://www.youtube.com/watch?v=NOX6-...​ ➡️ Cassandra - https://www.youtube.com/watch?v=iDhIj...​ ➡️ Elastic Search - https://www.youtube.com/watch?v=1Envk...​ ➡️ MongoDB - https://www.youtube.com/watch?v=pWbMr...​ 🔴 Apache Kafka : ➡️ https://www.youtube.com/watch?v=daRyk...​ 🔴 Dashboarding Tools : ➡️ Tableau - https://www.youtube.com/watch?v=aHaOI...​ ➡️ PowerBI - https://www.youtube.com/watch?v=3u7MQ...​ ➡️ Grafana - https://www.youtube.com/watch?v=CjABE...​ ➡️ Kibana - https://www.youtube.com/watch?v=gQ1c1...​ 🔴 BigData Services in Cloud (AWS) : ➡️ https://www.youtube.com/watch?v=k1RI5...​ ➡️ https://www.youtube.com/watch?v=8PyLr...​ ➡️ https://www.simplilearn.com/aws-big-d...​ 𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝘁𝗼𝗽𝗶𝗰𝘀 𝗶𝗻 𝗦𝗤𝗟 : 📌 Joins 📌 Group By 📌 Nested joins 📌 Case-When conditions 📌 Window functions 𝗧𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸 𝗳𝗼𝗿 𝗿𝗲𝗮𝗹𝘁𝗶𝗺𝗲 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 : 📌 Apache Kafka 📌 Apache Flink 📌 Apache Storm 📌 AWS Kinesis 📌 Spark Streaming 𝗕𝗶𝗴𝗗𝗮𝘁𝗮 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 𝗮𝗻𝗱 𝗛𝗮𝗱𝗼𝗼𝗽 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 : 📌 Hadoop architecture, Map-Reduce, HDFS, Yarn 📌 Apache Spark 📌 Hive 📌 Flume 📌 Sqoop 📌 Zookeeper 📌 Ambari, Hue 📌 Oozie, Airflow, Azkaban 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗧𝗼𝗼𝗹𝘀 : 📌 Tableau 📌 Power BI 📌 Qlik Sense 📌 Grafana 📌 Kibana 𝗧𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 : 📌 Amazon Aurora 📌 PostgreSQL 📌 MySQL 📌 MariaDB 📌 Oracle 📌 SQL Server 𝗡𝗼-𝗦𝗤𝗟 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 : 📌 DynamoDB 📌 Cassandra 📌 MongoDB 📌 ElasticSearch 📌 HBase 📌 Couchbase 📌 Redis Book - Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python 2nd Edition,

    From user kaustubhyerkade

  • pritish-sinha / data-engineering

    data-engineer-roadmap, This repository serves as a testament to my continuous skill development and progress on the path of becoming a proficient data engineer. It showcases the projects I have undertaken as part of my learning journey, demonstrating my growth and dedication to mastering each topic outlined in the roadmap of data engineering.

    From user pritish-sinha

  • yudaofu / data-science-roadmap

    data-engineer-roadmap, The Data Science Roadmap you will need for all the Data Science Job (Data Analyst / Data Scientist / Data Engineer)

    From user yudaofu

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