Apache Spark SQL - Spark Using SQL - Apache Spark Tutorial - Spark OnlineLearningCenter

𝟯𝟬 𝗗𝗮𝘆𝘀 𝗧𝗿𝗶𝗮𝗹- 𝗠𝗼𝗻𝗲𝘆 𝗕𝗮𝗰𝗸 𝗼𝗳𝗳𝗲𝗿 𝗶𝗳 𝗬𝗼𝘂 𝗮𝗿𝗲 𝗻𝗼𝘁 𝗛𝗮𝗽𝗽𝘆, 𝗡𝗼 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗔𝘀𝗸𝗲𝗱. 👇 👇 👇
Join the Most in-depth, Updated, 10 Months of Program in Data Engineering.
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𝗧𝗵𝗲 𝗠𝗼𝘀𝘁 𝗗𝗲𝘁𝗮𝗶𝗹𝗲𝗱 𝗦𝘆𝗹𝗹𝗮𝗯𝘂𝘀:

𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗳𝗼𝗿 𝟮𝟬 𝗛𝗼𝘂𝗿𝘀 𝗙𝗥𝗘𝗘 𝗣𝗿𝗼𝗴𝗿𝗮𝗺:

[ About Video ]
Spark SQL brings native support for SQL to Spark and streamlines the process of querying data stored both in RDDs (Spark's distributed datasets) and in external sources. Spark SQL conveniently blurs the lines between RDDs and relational tables. Unifying these powerful abstractions makes it easy for developers to intermix SQL commands querying external data with complex analytics, all within a single application. Concretely, Spark SQL will allow developers to:
- Import relational data from Parquet files and Hive tables
- Run SQL queries over imported data and existing RDDs
- Easily write RDDs out to Hive tables or Parquet files

[ 𝐑𝐞𝐚𝐬𝐨𝐧𝐬 𝐖𝐡𝐲 𝐂𝐡𝐨𝐨𝐬𝐞 𝐎𝐋𝐂 𝐅𝐨𝐫 𝐔𝐩𝐬𝐤𝐢𝐥𝐥𝐢𝐧𝐠 ]

⚡ 𝗧𝗿𝘆 𝗢𝘂𝗿 𝟮𝟬 𝗛𝗼𝘂𝗿𝘀 𝗼𝗳 𝗛𝗗 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗪𝗵𝗶𝘁𝗲𝗯𝗼𝗮𝗿𝗱 𝘀𝗲𝘀𝘀𝗶𝗼𝗻𝘀. 𝗨𝘀𝗲 𝗚𝗼𝗼𝗴𝗹𝗲 𝗟𝗼𝗴𝗶𝗻 𝗢𝗻𝗹𝘆-


⚡ 𝗘𝗮𝘀𝘆 𝗘𝗠𝗜 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗰𝗼𝘂𝗿𝘀𝗲. 𝗬𝗼𝘂 𝘄𝗼𝘂𝗹𝗱 𝗯𝗲 𝗽𝗮𝘆𝗶𝗻𝗴 𝗮𝗿𝗼𝘂𝗻𝗱 𝟳𝗞 𝗽𝗲𝗿 𝗺𝗼𝗻𝘁𝗵 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗣𝗿𝗼𝗴𝗿𝗮𝗺.

⚡ 𝗢𝗻𝗰𝗲 𝗬𝗼𝘂 𝗦𝗶𝗴𝗻 𝗨𝗽 𝗙𝗼𝗿 𝗗𝗘𝟭 𝗼𝗿 𝗗𝗘𝟮:
❗ The first month would be a 𝗧𝗿𝗶𝗮𝗹 𝗺𝗼𝗻𝘁𝗵, if you are not happy with our sessions. You can cancel the course and we would refund you back the EMI that you paid.

⚡ 𝗧𝗮𝘂𝗴𝗵𝘁 𝗯𝘆 𝗠𝗲, 𝘄𝗵𝗼 𝗶𝘀 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗹𝗮𝘀𝘁 𝟴 𝗬𝗲𝗮𝗿𝘀.
🔸 I work as a Senior Data Engineer at 𝗖𝗹𝗼𝘂𝗱 𝗨𝗻𝘁𝗶𝘁𝗹𝗲𝗱, 𝗨𝗦𝗔, and would be bringing all the real-time scenarios in the classroom. No Booking Knowledge.

⚡ 𝗜𝗻𝘀𝘁𝗮𝗻𝘁 𝗗𝗼𝘂𝗯𝘁 𝗖𝗹𝗲𝗮𝗿𝗮𝗻𝗰𝗲:
➧You are 1 message away from me for any guidance during and after the classes.
➧I would be attending you directly.

⚡ 𝗠𝘆 𝟴 𝗬𝗲𝗮𝗿𝘀 𝗼𝗳 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗶𝘀 𝘀𝘂𝗽𝗲𝗿 𝗽𝗮𝗰𝗸𝗲𝗱 𝗶𝗻 𝘁𝗵𝗶𝘀 𝗰𝗼𝘂𝗿𝘀𝗲.
❋ You will be saving all the time and efforts that I have spent learning all the secrets of 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴.

⚡ 𝗧𝗵𝗲 𝗺𝗼𝘀𝘁 𝗱𝗲𝘁𝗮𝗶𝗹𝗲𝗱 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝘁𝗲𝗮𝗰𝗵𝗶𝗻𝗴 𝘆𝗼𝘂 𝗦𝗰𝗮𝗹𝗮 𝗳𝗼𝗿 𝟱𝟳 𝗛𝗼𝘂𝗿𝘀 𝗮𝗻𝗱 𝗦𝗽𝗮𝗿𝗸 𝗳𝗼𝗿 𝟰𝟬 𝗛𝗼𝘂𝗿𝘀.
❋ You cannot master a Language in just a week or two.

⚡ 𝟰 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀:
✔ As I have worked for 𝟴+ 𝗬𝗲𝗮𝗿𝘀 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴.
✔ We will be doing all these as part of the program. I would include more as I work on more projects.

⚡ 𝗥𝗲𝗰𝗲𝗻𝘁𝗹𝘆 𝗨𝗽𝗱𝗮𝘁𝗲𝗱 𝗖𝗼𝗻𝘁𝗲𝗻𝘁:
✅ All the videos are recorded in 𝟮𝟬𝟮𝟭-𝟮𝟬𝟮𝟮. A lot of new things are been added in the recent version of 𝗦𝗰𝗮𝗹𝗮 𝗮𝗻𝗱 𝗦𝗽𝗮𝗿𝗸 𝟯.𝘅

⚡ 𝗙𝗼𝗰𝘂𝘀 𝗼𝗻 𝗝𝗮𝘃𝗮 + 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗦𝗼𝗹𝘃𝗶𝗻𝗴 (𝗡𝗼𝘁 𝗷𝘂𝘀𝘁 𝗦𝗤𝗟):

⚡ 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗦𝘁𝗼𝗿𝗶𝗲𝘀:
💥 Every time we get success, we first celebrate it in the group and then share it on 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 too.
💥 This helps people to trust our program more rather than just random Testimonies.

⚡ 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗦𝘂𝗯𝗺𝗶𝘁𝘁𝗲𝗱 𝗕𝘆 𝗧𝗵𝗲 𝗥𝗲𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝗲𝗲:

⚡ 𝗕𝗲 𝗮 𝗽𝗮𝗿𝘁 𝗼𝗳 𝗼𝘂𝗿 𝗛𝗮𝗰𝗸𝗮𝘁𝗵𝗼𝗻 𝗴𝗿𝗼𝘂𝗽, 𝘄𝗵𝗲𝗿𝗲 𝘆𝗼𝘂 𝘄𝗶𝗹𝗹 𝘀𝗼𝗹𝘃𝗲 𝘁𝗵𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝗶𝗻𝘀𝘁𝗮𝗻𝘁𝗹𝘆:

𝐒𝐨𝐦𝐞 𝐨𝐟 𝐨𝐮𝐫 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐒𝐭𝐨𝐫𝐢𝐞𝐬:
🎉 Result Matters, we celebrate it in the group every time.

𝟯.𝟱 𝗬𝗲𝗮𝗿𝘀-𝟭𝟳.𝟱 𝗟𝗣𝗔: 🔥🔥🔥

𝗧𝗲𝘀𝘁𝗶𝗻𝗴 𝗣𝗿𝗼𝗳𝗶𝗹𝗲 𝘁𝗼 𝟮𝟮.𝟱 𝗟𝗣𝗔:🔥🔥🔥

𝟏𝟎 𝐋𝐏𝐀 𝐭𝐨 𝟐𝟏 𝐋𝐏𝐀: 🔥🔥🔥

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𝐂𝐨𝐧𝐧𝐞𝐜𝐭 𝐌𝐞:

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What do we cover? 📀

💥𝐂𝐨𝐫𝐞 𝐉𝐚𝐯𝐚
💥𝐇𝐚𝐝𝐨𝐨𝐩 𝐅𝐮𝐧𝐝𝐚𝐦𝐞𝐧𝐭𝐚𝐥𝐬
💥𝐌𝐚𝐩-𝐑𝐞𝐝𝐮𝐜𝐞
💥𝐇𝐢𝐯𝐞
💥𝐒𝐪𝐨𝐨𝐩
💥𝐇𝐁𝐚𝐬𝐞
💥𝐎𝐨𝐳𝐢𝐞
💥𝐒𝐜𝐚𝐥𝐚 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠
💥𝐒𝐩𝐚𝐫𝐤
💥𝐊𝐚𝐟𝐤𝐚
💥𝐄𝐥𝐚𝐬𝐭𝐢𝐜-𝐒𝐞𝐚𝐫𝐜𝐡
💥𝐃𝐚𝐭𝐚 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬
💥𝐀𝐖𝐒

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[MrKartikkudada]

Thank you .
Great place for upskill on big data stacks such as scala, Java, spark, kafka, hive, hadoop

[parultiwari]

Best platform for Big data, Hadoop, scala, spark, hive Kafka Aspirant.

[OnlineLearningCenterIndia]

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