الناس اللي بتحاول تتعلم هندسة وتحليل البيانات ده مسار بيشرح الـ noSql databases و بيشرح الdistributed systems وال parallel programming وبيغطي اداتين مهمين جدا زي hadoop و spark

coursera.org/specialization…

به يكي كه hadoop كار كرده باشه نياز مندم .

#ریتویت
#فوری

𝐒𝐭𝐚𝐫𝐭 𝐘𝐨𝐮𝐫 𝐓𝐞𝐜𝐡 𝐂𝐚𝐫𝐞𝐞𝐫 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 𝐰𝐢𝐭𝐡 𝐒𝐚𝐦𝐡𝐢𝐫𝐞𝐬 𝐋𝐋𝐂'𝐬 𝐅𝐫𝐞𝐞 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠!

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Check out this infographic on Hadoop data migration traps that can put your business at risk.

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Big Data Visualization Tools

1)Apache Superset
2)Jupyter Notebook
3)Apache Zeppelin
4) Metabase

Course Link: buff.ly/3AkZjK5

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On April 17th, 2024 (Day 36), I explored the world of data analytics, delving into the process of extracting insights from large datasets using tools like Apache Spark and Hadoop. Unveiling hidden patterns and trends was Great. #Day36 #ALX_SE #100daysofALXSE #DoHardThings

Are you ready to advance in the field of data science? 🚀 The Free EPAM Data Software Engineering Bootcamp, in collaboration with EPAM Systems, is launching!

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Seize the opportunity to learn about Big Data, Python, Hadoop, Apache Spark, Kafka, and other

Sam Goodwin Hadoop? Who cares

Example of “the most xxx” does not equal best TCO

Did you miss our #Hadoop webinar?

Catch up now with the recording on 'Mastering Hadoop Data Migration.’ Learn how Cirata can support your Hadoop data migration with zero downtime and disruption.

Click the link to watch:
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Apache Hadoop is an open-source, java-based, parallel data processing engine and software framework.

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Hadoop in there twice is funny given it's now in mine zero times.

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Enterprises consider their data and analytics platforms strategic assets that are crucial to digital transformation and business continuity.

Check out these 3 considerations for Hadoop to cloud migration.

cirata.com/news-events/bl…

#Hadoop #BigData

للي يلغي ال hadoop ابن الاحبة من الوجود

1. Python
2. DSA
3. Build Project 👈
4. SQL
5. Git+GitHub
6. CI/CD
7. Build Project 👈
8. NoSQL
9. Hadoop
10. Cloud Basics
11. Build Project 👈
12. Data Warehousing
13. Spark
14. DBT
15. Streaming data
16. Build Project 👈
17. Airflow
18. Data Mesh

🏆 – Data Engineer

💾 En Big Data 1.0, las tecnologías como Hadoop y sistemas de bases de datos NoSQL eran fundamentales. Se enfocaban en manejar grandes cantidades de datos de manera eficiente.