# DP-900 : Microsoft Azure Data Fundamentals Free Training

📢🚨 𝑭𝑹𝑬𝑬 𝑨𝒍𝒆𝒓𝒕 🚨📢  

📌 𝐃𝐨 𝐲𝐨𝐮 want to become a 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥? This is your first step to success 🚩

📌 𝐀𝐫𝐞 𝐲𝐨𝐮 looking to learn 𝐀𝐙𝐔𝐑𝐄-𝐃𝐏-𝟗𝟎𝟎 Fundamentals from scratch with 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧/𝐔𝐬𝐞𝐂𝐚𝐬𝐞𝐬/𝐋𝐚𝐛? 🎁

📌 𝐀𝐫𝐞 𝐲𝐨𝐮 looking to kick-start your career in 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 and 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞?

📌 𝐅𝐫𝐞𝐞 𝐋𝐢𝐯𝐞 𝐇𝐚𝐧𝐝𝐬-𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 only for 𝐂𝐥𝐨𝐮𝐝𝐧𝐥𝐨𝐮𝐝 𝐓𝐞𝐜𝐡 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 𝐌𝐞𝐦𝐛𝐞𝐫𝐬 😍 🎒

𝘾𝙊𝙈𝙄𝙉𝙂 𝙎𝙊𝙊𝙉.....𝙎𝙏𝘼𝙔 𝙏𝙐𝙉𝙀𝘿 𝙁𝙊𝙍 𝙀𝙑𝙀𝙉𝙏 𝘿𝘼𝙏𝙀𝙎....

Takeaway from this course:

✔Helps in understanding the foundational knowledge of core data concepts.
✔Helps with High-level understanding of the Azure Data Services.
✔Credibility to your professional career if you are planning for Data Analytics and Data Visualization using Cloud.

✔Great **Pay cheques**

✔Foundation for your next level of certification in Azure Data Services. 

𝐀𝐋𝐋 𝐈𝐍 𝐉𝐔𝐒𝐓 𝐅𝐄𝐖 𝐌𝐈𝐍𝐒!!!

😍Perks of joining this course:

Ample 𝒑𝒓𝒂𝒄𝒕𝒊𝒄𝒆 𝒒𝒖𝒆𝒔𝒕𝒊𝒐𝒏𝒔 𝒘𝒊𝒕𝒉 𝒂𝒏𝒔𝒘𝒆𝒓𝒔 to crack the exams on the fly🚀

You are just a few steps away from it. Come and grab this opportunity🏃🏽🏃🏽

Sessions delivered by: 𝐀𝐚𝐫𝐭𝐡𝐢 𝐑𝐚𝐧𝐠𝐚𝐧𝐚𝐭𝐡𝐚𝐧, 𝐒𝐡𝐫𝐮𝐭𝐡𝐢 𝐆 𝐊𝐢𝐧𝐢 & 𝐘𝐚𝐬𝐦𝐢𝐧 𝐒𝐡𝐚𝐢𝐤

𝐖𝐞 𝐡𝐚𝐯𝐞 𝐥𝐢𝐦𝐢𝐭𝐞𝐝 𝐬𝐞𝐚𝐭𝐬 and If you are part of the 𝐂𝐥𝐨𝐮𝐝𝐧𝐋𝐨𝐮𝐝 𝐏𝐚𝐠𝐞 𝐚𝐧𝐝 𝐦𝐞𝐦𝐛𝐞𝐫𝐬 𝐨𝐟 𝐓𝐞𝐜𝐡 𝐆𝐫𝐨𝐮𝐩,

Page 👉 - https://lnkd.in/dJNeuhYA

Group 👉- https://lnkd.in/e4V7bkgP

then 👉 𝐃𝐫𝐨𝐩 𝐲𝐨𝐮𝐫 𝐧𝐚𝐦𝐞 𝐢𝐧 𝐭𝐡𝐞 𝐜𝐨𝐦𝐦𝐞𝐧𝐭𝐬 if you want full access to this course with exclusive unique hands-on use cases in real-time🎁

Share to your known circle who can use this opportunity to revamp their IT career.

Here is the summary of what you'll learn:

📌𝐒𝐞𝐬𝐬𝐢𝐨𝐧 1: 𝐂𝐨𝐫𝐞 𝐃𝐚𝐭𝐚 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬

- Introduction to Data, Data Formats and Data Stores, Batch Data and Streaming Data, ELT and ETL, Transactional and Analytical Data processing.
- Deep-dive into Data Visualization, Chart types, Analytics techniques.
- Job roles associated with data globally.

📌𝐒𝐞𝐬𝐬𝐢𝐨𝐧 2: 𝐑𝐞𝐥𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐃𝐚𝐭𝐚 𝐢𝐧 𝐀𝐳𝐮𝐫𝐞

- What is relational data, normalization, SQL, and database objects (view, index, etc.)?
- Azure SQL Open-source Database with use cases, SQL Services and its provisioning in real-time, Maria DB, MySQL, PostgreSQL.

📌𝐒𝐞𝐬𝐬𝐢𝐨𝐧 3: 𝐀𝐳𝐮𝐫𝐞 𝐍𝐨𝐧-𝐑𝐞𝐥𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐃𝐚𝐭𝐚 

- Azure Storage (Blob, Files, Tables, DataLake Storage), Storage Accounts.
- What is Cosmos DB, Cosmos DB APIs?

📌𝐒𝐞𝐬𝐬𝐢𝐨𝐧 4: 𝐀𝐳𝐮𝐫𝐞 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬

- Data warehousing solutions, Data Ingestion pipelines, Data Stores and its types, Azure Synapse Analytics.
- Data services for modern data warehousing, architecture, workload and its processing.
- Understanding the practices of Data Loading and Components of Azure Data Factory
- Data Modeling, Data Visualization, Power BI Tool

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Fail More in Your own Lab ! Loud More in your Own Lab !


