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*Note: 1+ Years of Work Experience Recommended to Sign up for Below Programs⬇️ 🔥Post Graduate Program In Data Engineering: 🤍 🔥Big Data Engineer Masters Program (Discount Code - YTBE15): 🤍 Spark SQL is a module for structured data processing. This video on Spark SQL Tutorial will help you understand what Spark SQL is and Spark SQL features. You will learn Spark SQL's architecture and get an idea about data frame API, data source API, and catalyst optimizer. You will see how to run SQL queries and a demo on Spark SQL. 00:00:00 What is Spark SQL? 00:02:37 Spark SQL Features 00:06:28 Spark SQL Architecture 00:08:44 Spark SQL – DataFrame API 00:10:36 Spark SQL – Data Source API 00:14:04 Spark SQL – Catalyst Optimizer 00:15:43 Running SQL Queries 00:17:56 Spark SQL Demo #SparkSQLTutorial #SparkTutorial #SparkTutorialForBeginners #ApacheSparkTutorialForBeginners #ApacheSpark #Spark #Simplilearn ✅Subscribe to our Channel to learn more about the top Technologies: 🤍 ⏩ Check out the Spark training videos: 🤍 🔥Free Big Data Hadoop Spark Developer Course: 🤍 ➡️ About Post Graduate Program In Data Engineering This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, IBM hackathons, and Ask Me Anything sessions. ✅ Key Features Post Graduate Program Certificate and Alumni Association membership - Exclusive Master Classes and Ask me Anything sessions by IBM - 8X higher live interaction in live Data Engineering online classes by industry experts - Capstone from 3 domains and 14+ Projects with Industry datasets from YouTube, Glassdoor, Facebook etc. - Simplilearn's JobAssist helps you get noticed by top hiring companies ✅ Skills Covered - Real-Time Data Processing - Data Pipelining - Big Data Analytics - Data Visualization - Provisioning data storage services - Apache Hadoop - Ingesting Streaming and Batch Data - Transforming Data - Implementing Security Requirements - Data Protection - Encryption Techniques - Data Governance and Compliance Controls 👉 Learn More At: 🤍 🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688 🎓Enhance your expertise in the below technologies to secure lucrative, high-paying job opportunities: 🟡 AI & Machine Learning - 🤍 🟢 Cyber Security - 🤍 🔴 Data Analytics - 🤍 🟠 Data Science - 🤍 🔵 Cloud Computing - 🤍
*Note: 1+ Years of Work Experience Recommended to Sign up for Below Programs⬇️ 🔥Post Graduate Program In Data Engineering: 🤍 🔥Big Data Engineer Masters Program (Discount Code - YTBE15): 🤍 This Spark SQL tutorial will help you understand what is Spark SQL, Spark SQL features, architecture, dataframe API, data source API, catalyst optimizer, running SQL queries and a demo on Spark SQL. Spark SQL is a Apache Spark's module for working with structures and semi-strcutures data. It is originated to overcome the limitations of Apache Hive. Now, let us get started and understand Spark SQL in detail. Below topics are explained in this Spark SQL tutorial: 1. What is Spark SQL? 00:31 2. Spark SQL features 02:43 3. Spark SQL architecture 06:34 4. Spark SQL - Dataframe API 08:50 5. Spark SQL - Data source API 10:46 6. Spark SQL - Catalyst optimizer 12:02 7. Running SQL queries 29:00 8. Spark SQL demo 35:44 To learn more about Spark, subscribe to our YouTube channel: 🤍 To access the slides, click here: 🤍 Watch more videos on Spark Training: 🤍 #ApacheSparkSQL #SparkSQLUsingScala #ApacheSpark #ApacheSparkTutorial #SparkTutorialForBeginners #SimplilearnApacheSpark #Simplilearn 🔥Free Big Data Hadoop Spark Developer Course: 🤍 ➡️ About Post Graduate Program In Data Engineering This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, IBM hackathons, and Ask Me Anything sessions. ✅ Key Features Post Graduate Program Certificate and Alumni Association membership - Exclusive Master Classes and Ask me Anything sessions by IBM - 8X higher live interaction in live Data Engineering online classes by industry experts - Capstone from 3 domains and 14+ Projects with Industry datasets from YouTube, Glassdoor, Facebook etc. - Simplilearn's JobAssist helps you get noticed by top hiring companies ✅ Skills Covered - Real-Time Data Processing - Data Pipelining - Big Data Analytics - Data Visualization - Provisioning data storage services - Apache Hadoop - Ingesting Streaming and Batch Data - Transforming Data - Implementing Security Requirements - Data Protection - Encryption Techniques - Data Governance and Compliance Controls 👉 Learn More At: 🤍 🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688 🎓Enhance your expertise in the below technologies to secure lucrative, high-paying job opportunities: 🟡 AI & Machine Learning - 🤍 🟢 Cyber Security - 🤍 🔴 Data Analytics - 🤍 🟠 Data Science - 🤍 🔵 Cloud Computing - 🤍
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= Apache Spark SQL With Apache Hive Apache Spark Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance. Apache Hive Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop. Hadoop Installation - 🤍 Hive Installation - 🤍 Spark Installation - 🤍 Video Playlist - Hadoop in Tamil - 🤍 Hadoop in English - 🤍 Spark in Tamil - 🤍 Spark in English - 🤍 Hive in Tamil - 🤍 Hive in English - 🤍 Batch vs Stream processing Tamil - 🤍 Batch vs Stream processing English - 🤍 NOSQL in English - 🤍 NOSQL in Tamil - 🤍 Scala in Tamil : 🤍 Scala in English: 🤍 Email: atozknowledge.com🤍gmail.com LinkedIn : 🤍 Instagram: 🤍 YouTube channel link 🤍youtube.com/atozknowledgevideos Website 🤍 Technology in Tamil & English #apachespark #apachehive #sparksql
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Learn more about Apache Spark → 🤍 Check out IBM Analytics Engine → 🤍 Unboxing the IBM POWER E1080 Server → 🤍 Do you have a big data problem? Too much data to process or queries that are too costly to run in a reasonable amount of time? Spare your wallet and stress levels! David Adeyemi introduces Apache Spark. It may save you a hardware upgrade or testing your patience waiting for a SQL query to finish. Get started for free on IBM Cloud → 🤍 Subscribe to see more videos like this in the future → 🤍
ATTENTION DATA SCIENCE ASPIRANTS: Click Below Link to Download Proven 90-Day Roadmap to become a Data Scientist in 90 days 🤍 Apache Spark Courses : 🤍 Official Website : 🤍 Spark SQL is a spark's interface based on dataframe, to work with structured data and semi-structured data. Structured data is any data with schema and known set of fields. The advantage of this interface is that it makes easy to load and query the data. The 3 main capabilities that spark SQL provides are 1. It provides Dataframe abstraction, which is an extension of the RDD. Think of dataframe as a table with rows and columns. Yes, it is conceptually equivalent to relational database table. 2. Spark SQL provides capability to read and write data in different formats like JSON, Parquet, CSV, and text file. 3. Whether you use Scala, or Python or Java, whether you use spark-shell, pyspark, or spark-submit tool, you can write SQL like queries that can interact with the underlying data.
Learn PySpark, an interface for Apache Spark in Python. PySpark is often used for large-scale data processing and machine learning. 💻 Code: 🤍 ✏️ Course from Krish Naik. Check out his channel: 🤍 ⌨️ (0:00:10) Pyspark Introduction ⌨️ (0:15:25) Pyspark Dataframe Part 1 ⌨️ (0:31:35) Pyspark Handling Missing Values ⌨️ (0:45:19) Pyspark Dataframe Part 2 ⌨️ (0:52:44) Pyspark Groupby And Aggregate Functions ⌨️ (1:02:58) Pyspark Mlib And Installation And Implementation ⌨️ (1:12:46) Introduction To Databricks ⌨️ (1:24:65) Implementing Linear Regression using Databricks in Single Clusters 🎉 Thanks to our Champion and Sponsor supporters: 👾 Wong Voon jinq 👾 hexploitation 👾 Katia Moran 👾 BlckPhantom 👾 Nick Raker 👾 Otis Morgan 👾 DeezMaster 👾 Treehouse Learn to code for free and get a developer job: 🤍 Read hundreds of articles on programming: 🤍
This video shows you how to read and write data from/to SQL Server using Apache Spark Prerequisite: 1. A SQL Server Instance with 2 databases 2. Local Apache Spark env configured 3. Visual Studio Code (VS Code) with Pyspark installed and configured Steps: 1: Download Connector 🤍 2: Copy this jar to jars folder under SPARK_HOME More details please see the instructions in this folder -🤍
Spark Programming and Azure Databricks ILT Master Class by Prashant Kumar Pandey - Fill out the google form for Course inquiry. 🤍 - Data Engineering using is one of the highest-paid jobs of today. It is going to remain in the top IT skills forever. Are you in database development, data warehousing, ETL tools, data analysis, SQL, PL/QL development? I have a well-crafted success path for you. I will help you get prepared for the data engineer and solution architect role depending on your profile and experience. We created a course that takes you deep into core data engineering technology and masters it. If you are a working professional: 1. Aspiring to become a data engineer. 2. Change your career to data engineering. 3. Grow your data engineering career. 4. Get Databricks Spark Certification. 5. Crack the Spark Data Engineering interviews. ScholarNest is offering a one-stop integrated Learning Path. The course is open for registration. The course delivers an example-driven approach and project-based learning. You will be practicing the skills using MCQ, Coding Exercises, and Capstone Projects. The course comes with the following integrated services. 1. Technical support and Doubt Clarification 2. Live Project Discussion 3. Resume Building 4. Interview Preparation 5. Mock Interviews Course Duration: 6 Months Course Prerequisite: Programming and SQL Knowledge Target Audience: Working Professionals Batch start: Registration Started Fill out the below form for more details and course inquiries. 🤍 Learn more at 🤍 Best place to learn Data engineering, Bigdata, Apache Spark, Databricks, Apache Kafka, Confluent Cloud, AWS Cloud Computing, Azure Cloud, Google Cloud - Self-paced, Instructor-led, Certification courses, and practice tests. SPARK COURSES - 🤍 🤍 🤍 🤍 🤍 KAFKA COURSES 🤍 🤍 🤍 AWS CLOUD 🤍 🤍 PYTHON 🤍 We are also available on the Udemy Platform Check out the below link for our Courses on Udemy 🤍 = You can also find us on Oreilly Learning 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍 = Follow us on Social Media 🤍 🤍 🤍 🤍 🤍 🤍
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In this video, we use PySpark to load Spark dataframes from queries and perform data analysis at scale. You'll learn why using SQL with Python is so important and how it jump-starts your productivity on Databricks. Video demo notebook at: 🤍 Apache Spark SQL Docs 🤍 For information on how to upload files to Databricks see: 🤍
This video demonstrates the use of JDBC function to connect to a mysql. JDBC acts as a data source and sink for Apache spark. 🙏🏻SUPPORT THE CHANNEL🙏🏻 Buy me a coffee: 🤍 Subscribe: 🤍 Facebook: 🤍 Telegram: 🤍 #spark #jdbc #bigtech #spark
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. 📞: +91-7 999 01 02 03 𝗖𝗵𝗮𝘁 𝘄𝗶𝘁𝗵 𝗺𝗲 𝗶𝗻 𝗪𝗵𝗮𝘁𝘀𝗔𝗽𝗽: 🤍 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- ✔ 𝗛𝗮𝗱𝗼𝗼𝗽 𝗗𝗲𝗺𝗼𝘀: 🤍 ✔ 𝗦𝗰𝗮𝗹𝗮 𝗗𝗲𝗺𝗼𝘀: 🤍 ✔ 𝗦𝗽𝗮𝗿𝗸 𝗗𝗲𝗺𝗼𝘀: 🤍 ⚡ 𝗘𝗮𝘀𝘆 𝗘𝗠𝗜 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗰𝗼𝘂𝗿𝘀𝗲. 𝗬𝗼𝘂 𝘄𝗼𝘂𝗹𝗱 𝗯𝗲 𝗽𝗮𝘆𝗶𝗻𝗴 𝗮𝗿𝗼𝘂𝗻𝗱 𝟳𝗞 𝗽𝗲𝗿 𝗺𝗼𝗻𝘁𝗵 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗣𝗿𝗼𝗴𝗿𝗮𝗺. 𝗙𝗘𝗘𝗦 𝗮𝗻𝗱 𝗘𝗠𝗜: ➨ 🤍 ⚡ 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: 🔥🔥🔥 🤍 𝙏𝙝𝙚 𝙡𝙞𝙨𝙩 𝙜𝙤𝙚𝙨 𝙤𝙣... ➤ "Invest in your education with us to take your career several miles ahead." ➤ "All sessions are recently updated and cover Scala 3 and Spark 3." ➤ "Join the most in-depth Data Engineering course taught by 8+ Years of Data Engineer." ➤ "240 Hours of Whiteboard session." 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 𝐌𝐞: 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻: 🤍 𝗦𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 𝗧𝗼 𝗢𝘂𝗿 𝗬𝗼𝘂𝘁𝘂𝗯𝗲 𝗖𝗵𝗮𝗻𝗻𝗲𝗹: 🤍 𝗙𝗮𝗰𝗲𝗯𝗼𝗼𝗸: 🤍 𝗧𝘄𝗶𝘁𝘁𝗲𝗿: 🤍 𝗜𝗻𝘀𝘁𝗮𝗴𝗿𝗮𝗺: 🤍 𝗪𝗲𝗯𝘀𝗶𝘁𝗲: 🤍 - 𝙄𝙣𝙩𝙚𝙧𝙫𝙞𝙚𝙬 𝙌𝙪𝙚𝙨𝙩𝙞𝙤𝙣𝙨(𝟐𝟎𝟎+ 𝙘𝙤𝙢𝙥𝙖𝙣𝙞𝙚𝙨) 🤍 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 #tutorial #bigdataforbeginners #programming #hadoop #scala #bigdata #bigdata #hadoop #tutorial #beginners #big #data #functionalprogramming #bigdatatutorial #programming spark onlinelearningcenter spark tutorial onlinelearningcenter spark sql onlinelearningcenter dataframe onlinelearningcenter
Apache Spark for Beginners using Python | Ecosystem Components - 🤍 My website: 🤍 My blog: 🤍 PySpark 101 Tutorial: 🤍 wget 🤍 or 🤍 Option 1: spark-submit master local[*] jars file:///home/dmadmin/mysql-connector-java-5.1.46/mysql-connector-java-5.1.46.jar conf spark.executor.extraClassPath=file:///home/dmadmin/mysql-connector-java-5.1.46/mysql-connector-java-5.1.46.jar conf spark.executor.extraLibrary=file:///home/dmadmin/mysql-connector-java-5.1.46/mysql-connector-java-5.1.46.jar conf spark.executor.extraClassPath=file:///home/dmadmin/mysql-connector-java-5.1.46/mysql-connector-java-5.1.46.jar /home/dmadmin/PycharmProjects/pyspark101/read_mysql_table_demo.py Option 2: spark-submit master local[*] jars file:///home/dmadmin/mysql-connector-java-5.1.46/mysql-connector-java-5.1.46.jar /home/dmadmin/PycharmProjects/pyspark101/read_mysql_table_demo.py DM, DataMaking, Data Making, Data Science, Data Engineering, PySpark
What is Apache spark? And how does it fit into Big Data? How is it related to hadoop? We'll look at the architecture of spark, learn some of the key components, see how it related to other big data tools like hadoop. ⏯RELATED VIDEOS⏯ Building a Data Pipeline: 🤍 Data Podcast ►► 🤍 Website ►► 🤍 🎓Data courses (Not Produced by nullQueries)🎓 Azure Data Engineering: 🤍 DE Essentials, hands on: 🤍 📷VIDEO GEAR📷 Programming Mouse: 🤍 Lighting: 🤍 RGB light: 🤍 USB Microphone: 🤍 Mixer: 🤍 XLR Microphone: 🤍 💻VIDEO SOFTWARE💻 music/stock: 🤍 For business inquiries please contact nullQueries🤍gmail.com Some of the links in this description are affiliate links and support the channel. Thanks for the support! 00:00 Intro 00:25 History 00:44 Goals 00:58 Architecture 02:22 Libraries 02:57 Platforms 02:57 Comparisons
Intellipaat Spark Scala course:🤍 Watch latest Spark video: 🤍 This particular tutorial on Spark introduces the concept in a brief and it also explains Spark stack, spark execution flow and spark sql. If you’ve enjoyed this video, Like us and Subscribe to our channel for more similar informative videos and free tutorials. Got any questions about Apache Spark? Ask us in the comment section below. Are you looking for something more? Enroll in our Apache Spark & Scala training course and become a certified Apache Spark Professional (🤍 It is a 28 hrs instructor led training provided by Intellipaat which is completely aligned with industry standards and certification bodies Intellipaat Edge 1. 24x7 Life time Access & Support 2. Flexible Class Schedule 3. Job Assistance 4. Mentors with +14 yrs industry experience 5. Industry Oriented Courseware 6. Life time free Course Upgrade Why take this course? 1. It's an open source processing system up to 100 times faster than Mapreduce 2. This is a far reaching course for cutting edge usage of Scala 3. Set yourself up for cloudera Hadoop Developer and Spark Professional Certification 4. Get proficient credibility to your resume so you get high pay jobs. What you will learn in this course? 1. Comprehend what is Apache Spark and Scala programming 2. Comprehend the contrast between Apache Spark and Hadoop 3. Learn Scala and its programming usage 4. Compose Spark Applications utilizing Python, Java and Scala 5. Comprehend RDD and its operation alongside execution of Spark Algorithms 6. Characterize and explain Spark Streaming 7. Find out about the Scala classes idea and execute design coordinating 8. Learn Scala Java Interoperability and other Scala operations 9. Work on Projects utilizing Scala to keep running on Spark applications For more information: Please write us to sales🤍intellipaat.com or call us at: +91-7847955955 Website: 🤍 Facebook: 🤍 LinkedIn: 🤍 Twitter: 🤍r/intellipaat
Edureka Apache Spark Training (Use Code: YOUTUBE20) - 🤍 ) This Edureka Spark Full Course video will help you understand and learn Apache Spark in detail. This Spark tutorial is ideal for both beginners as well as professionals who want to master Apache Spark concepts. Below are the topics covered in this Spark tutorial for beginners: 00:00 Agenda 2:44 Introduction to Apache Spark 3:49 What is Spark? 5:34 Spark Eco-System 7:44 Why RDD? 16:44 RDD Operations 18:59 Yahoo Use-Case 21:09 Apache Spark Architecture 24:24 RDD 26:59 Spark Architecture 31:09 Demo 39:54 Spark RDD 41:09 Spark Applications 41:59 Need For RDDs 43:34 What are RDDs? 44:24 Sources of RDDs 45:04 Features of RDDs 46:39 Creation of RDDs 50:19 Operations Performed On RDDs 50:49 Narrow Transformations 51:04 Wide Transformations 51:29 Actions 51:44 RDDs Using Spark Pokemon Use-Case 1:05:19 Spark DataFrame 1:06:54 What is a DataFrame? 1:08:24 Why Do We Need Dataframes? 1:09:54 Features of DataFrames 1:11:09 Sources Of DataFrames 1:11:34 Creation Of DataFrame 1:24:44 Spark SQL 1:25:14 Why Spark SQL? 1:27:09 Spark SQL Advantages Over Hive 1:31:54 Spark SQL Success Story 1:33:24 Spark SQL Features 1:37:15 Spark SQL Architecture 1:39:40 Spark SQL Libraries 1:42:15 Querying Using Spark SQL 1:45:50 Adding Schema To RDDs 1:55:05 Hive Tables 1:57:50 Use Case: Stock Market Analysis with Spark SQL 2:16:50 Spark Streaming 2:18:10 What is Streaming? 2:25:46 Spark Streaming Overview 2:27:56 Spark Streaming workflow 2:31:21 Streaming Fundamentals 2:33:36 DStream 2:38:56 Input DStreams 2:40:11 Transformations on DStreams 2:43:06 DStreams Window 2:47:11 Caching/Persistence 2:48:11 Accumulators 2:49:06 Broadcast Variables 2:49:56 Checkpoints 2:51:11 Use-Case Twitter Sentiment Analysis 3:00:26 Spark MLlib 3:00:31 MLlib Techniques 3:01:46 Demo 3:11:51 Use Case: Earthquake Detection Using Spark 3:24:01 Visualizing Result 3:25:11 Spark GraphX 3:26:01 Basics of Graph 3:27:56 Types of Graph 3:38:56 GraphX 3:40:42 Property Graph 3:48:37 Creating & Transforming Property Graph 3:56:17 Graph Builder 4:02:22 Vertex RDD 4:07:07 Edge RDD 4:11:37 Graph Operators 4:24:37 GraphX Demo 4:34:24 Graph Algorithms 4:34:40 PageRank 4:38:29 Connected Components 4:40:39 Triangle Counting 4:44:09 Spark GraphX Demo 4;57:54 MapReduce vs Spark 5:13:03 Kafka with Spark Streaming 5:23:38 Messaging System 5:21:15 Kafka Components 2:23:45 Kafka Cluster 5:24:15 Demo 5:48:56 Kafka Spark Streaming Demo 6:17:16 PySpark Tutorial 6:21:26 PySpark Installation 6:47:06 Spark Interview Questions PG in Big Data Engineering with NIT Rourkela : 🤍 (450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies) Instagram: 🤍 Facebook: 🤍 Twitter: 🤍 LinkedIn: 🤍 Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For more information, please write back to us at sales🤍edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free).
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In this video, you learn how to query perform joins using Spark Structured Query Language (SQL). Spark SQL is the most performant way to do data engineering on Databrick and Spark. I'll explain the concepts and demonstrate them with code in a Databricks notebook. Get Master Azure Databricks Step by Step at 🤍 Example Notebook for lesson 13 at: 🤍 You need to unzip the file and import the notebook into Databricks to run the code. Video on Creating and Loading the tables used in this video 🤍 Video on Dimensional Modeling - with an explanation of Snowflake Schema 🤍 .
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This video shows you how to read data from a SQL Database from Databricks/Spark using Python using parallel reads so you get back partitioned data. SQL databases are the most popular platform for storing data so you are going to need this in your toolbelt. This video picks up where Lesson 30 left off and provides better performance. Join my Patreon Community and Watch this Video without Ads! 🤍 Twitter: 🤍BryanCafferky Notebook with Code at: 🤍 Video on Creating an Azure SQL Database 🤍 Video on Creating an Azure Key Vault 🤍
In this video, you learn how to query save SQL queries as views so they can be re-used in your data analysis and pipelines. Get Master Azure Databricks Step by Step at 🤍 Example Notebook for lesson 11 and 12 at: 🤍 You need to unzip the file and import the notebook into Databricks to run the code. Video on Creating and Loading the tables used in this video 🤍 Video on Dimensional Modeling - with an explanation of Snowflake Schema 🤍
In this video, you learn how to Set Operators in Spark Structured Query Language (SQL), i.e. UNION, INTERSECT, and EXCEPT. Spark SQL is the most performant way to do data engineering on Databrick and Spark. I'll explain the concepts and demonstrate them with code in a Databricks notebook. Get Master Azure Databricks Step by Step at 🤍 Example Notebook for lesson 13 at: 🤍 You need to unzip the file and import the notebook into Databricks to run the code. Video on Creating and Loading the tables used in this video 🤍 Video on Dimensional Modeling - with an explanation of Snowflake Schema 🤍
In this video, I discussed about querying SQL DB from Synapse spark notebook in Azure Synapse Analytics. We used pyodbc library to do the same. pyodbc documentation links: 🤍 🤍 sample code used: import pyodbc server = 'yourDbServerName' database = 'yourDBName' username = 'UserName' password = 'Password' cnxn = pyodbc.connect('DRIVER={ODBC Driver 17 for SQL Server};SERVER=' + server + ';DATABASE='+ database +';UID=' + username + ';PWD='+ password) Link for Azure Synapse Analytics Playlist: 🤍 Link for Azure Data bricks Play list: 🤍 Link for Azure Functions Play list: 🤍 Link for Azure Basics Play list: 🤍 Link for Azure Data factory Play list: 🤍 Link for Azure Data Factory Real time Scenarios 🤍 Link for Azure Logic Apps playlist 🤍 #Azure #AzureSynapse #AzureSynapseAnalytics #wafastudies
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🔥Intellipaat PySpark training: 🤍 In this big data processing with spark video you will learn what is big data and spark, how spark is used for big data, what is hadoop and how it solves big data problem, what is mapreduce and live demo on analyzing a facebook dataset in detail. #BigDataProcessingwithSpark #BigDataProcessingusingPyspark #BigDataProcessing #BigDataProcessingwithSpark #ApacheSparkwithBigData #BigDataTraining #ApacheSparkTraining #PySparkTraining #Intellipaat 📌 Do subscribe to Intellipaat channel & get regular updates on videos: 🤍 👉Following topics are covered in this video: 00:00 - Big Data Processing with Spark 00:35 - Introduction to Big Data 07:21 - Hadoop - MapReduce and HDFS 08:00 - What is Hadoop and how it solves Big Data problem 11:28 - What is MapReduce 12:44 - HDFS Architecture 18:28 - Intro to Spark 25:10 - What is PySpark 25:20 - Doubts 26:25 - Live Workshop: Analyzing a Facebook dataset 💡 Know top 5 reasons to learn python: 🤍 🔗 Watch complete Python tutorials here: 🤍 📕 Read complete Python tutorial here: 🤍 📕Read insightful blog on Python certification: 🤍 Are you looking for something more? Enroll in our PySpark certification training course and become a certified PySpark Professional (🤍 It is a 24 hrs instructor led training provided by Intellipaat which is completely aligned with industry standards and certification bodies. If you’ve enjoyed this video, Like us and Subscribe to our channel for more similar informative videos and free tutorials. Got any questions about PySpark rdds? Ask us in the comment section below. Intellipaat Edge 1. 24*7 Life time Access & Support 2. Flexible Class Schedule 3. Job Assistance 4. Mentors with +14 yrs 5. Industry Oriented Course ware 6. Life time free Course Upgrade Why PySpark is important? This PySpark tutorial will show you how Python for spark has an elegant syntax, is easy to code, debug and run. You will learn PySpark is deployed across industry verticals by going through this video. The Intellipaat PySpark tutorial is easy to understand, has real world PySpark examples and thus makes you understand why PySpark is so important and why you should learn PySpark and go for a PySpark career. Why should you opt for a PySpark career? If you want to fast-track your career then you should strongly consider PySpark. The reason for this is that it is one of the fastest growing and widely used. There is a huge demand for PySpark programmers. The salaries for PySpark programmers are very good. There is a huge growth opportunity in this domain as well. Hence this Intellipaat PySpark tutorial is your stepping stone to a successful career! For more Information: Please write us to sales🤍intellipaat.com, or call us at: +91- 7847955955 US : 1-800-216-8930(Toll Free) Website: 🤍 Facebook: 🤍 Telegram: 🤍 Instagram: 🤍 LinkedIn: 🤍 Twitter: 🤍
Handling the Data Skewness using Key Salting Technique. One of the biggest problem in parallel computational systems is data skewness. Data Skewness in Spark happens due to joining on a key that is not evenly distributed across the cluster, causing some partitions to be very large and not allowing Spark to process data in parallel. GitHub Link - 🤍 Content By - Jeevan Madhur [LinkedIn - 🤍 Editing By - Sivaraman Ravi [LinkedIn - 🤍
The SQL tab in the Spark UI provides a lot of information for analysing your spark queries, ranging from the query plan, to all associated statistics. However, many new Spark practitioners get overwhelmed by the information presented, and have trouble using it to their benefit. In this talk we want to give a gentle introduction to how to read this SQL tab. We will first go over all the common spark operations, such as scans, projects, filter, aggregations and joins; and how they relate to the Spark code written. In the second part of the talk we will show how to read the associated statistics to pinpoint performance bottlenecks. After attending this session you will have a better grasp on query plans and the SQL tab, and will be able to use this knowledge to increase the performance of your spark queries. About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business. Read more here: 🤍 See all the previous Summit sessions: 🤍 Connect with us: Website: 🤍 Facebook: 🤍 Twitter: 🤍 LinkedIn: 🤍 Instagram: 🤍 Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. 🤍
In this video, you will learn about Spark SQL, the data engineering powerhouse inside Apache Spark. Spark SQL not only supports a rich implementation of Structured Query Language but provides query optimizations that make it the most performant way to write applications. Python, R, and Scala rely on this to perform well in parallel. Slides Available at 🤍
Prerequisite Docker Desktop installed Local Apache Spark env configured Visual Studio Code (VS Code) with Pyspark installed and configured Extensions - Python More details please see the instructions in this folder 🤍 Steps: * Download PostgreSQL 12 from here 🤍 * docker run name mypostgres -e POSTGRES_PASSWORD=password -p 5432:5432 -d postgres:12 * docker exec -it 216f6bbce3ec bash * psql -U postgres * create database mydb; * create user myuser with encrypted password 'mypass'; * grant all privileges on database mydb to myuser;
Get hands on with Python and PySpark to build your first data pipeline. In this video I walk you through how to read, transform, and write the NYC Taxi dataset which can be found on Databricks, Azure Synapse, or downloaded from the web to wherever you run Apache Spark. Once you have watched and followed along with this tutorial, go find a free dataset and try to write your own PySpark application. Pro tip: Search for the Spark equivalent of functions you use in other programming languages (including SQL). Many will exist in the pyspark.sql.functions module. * All thoughts and opinions are my own * For links to the code and more information on this course, you can visit my website: 🤍 More from Dustin: Website: 🤍 LinkedIn: 🤍 Github: 🤍 CHAPTERS 00:00 Intro 0:58 Python key syntax 14:32 PySpark data pipeline (notebook) 31:12 PySpark locally 36:27 Outro
Best Apache Spark Course: 🤍 Take my courses at 🤍 The Notebook: 🤍 Apache Spark / PySpark Tutorial in 15 minutes! Data Scientists, Data Engineers, and all Data Enthusiasts NEED to know Spark! This video gives an introduction to the Spark ecosystem and world of Big Data, using the Python Programming Language and its PySpark API. We also discuss the idea of parallel and distributed computing, and computing on a cluster of machines. Best Courses for Analytics: - + IBM Data Science (Python): 🤍 + Google Analytics (R): 🤍 + SQL Basics: 🤍 Best Courses for Programming: - + Data Science in R: 🤍 + Python for Everybody: 🤍 + Data Structures & Algorithms: 🤍 Best Courses for Machine Learning: - + Math Prerequisites: 🤍 + Machine Learning: 🤍 + Deep Learning: 🤍 + ML Ops: 🤍 Best Courses for Statistics: - + Introduction to Statistics: 🤍 + Statistics with Python: 🤍 + Statistics with R: 🤍 Best Courses for Big Data: - + Google Cloud Data Engineering: 🤍 + AWS Data Science: 🤍 + Big Data Specialization: 🤍 More Courses: - + Tableau: 🤍 + Excel: 🤍 + Computer Vision: 🤍 + Natural Language Processing: 🤍 + IBM Dev Ops: 🤍 + IBM Full Stack Cloud: 🤍 + Object Oriented Programming (Java): 🤍 + TensorFlow Advanced Techniques: 🤍 + TensorFlow Data and Deployment: 🤍 + Generative Adversarial Networks / GANs (PyTorch): 🤍 Become a Member of the Channel! 🤍 Follow me on LinkedIn! 🤍 Art: 🤍 🤍 Music: 🤍 Sound effects: 🤍 Full Disclosure: Please note that I may earn a commission for purchases made at the above sites! I strongly believe in the material provided; I only recommend what I truly think is great. If you do choose to make purchases through these links; thank you for supporting the channel, it helps me make more free content like this! #GregHogg #DataScience #MachineLearning
Spark SQL - From basics to Regular Expressions and User-Defined Functions (UDF) in 10 minutes - Everything you need to know. ARTICLE: 🤍 DATASET: 🤍 00:00 Introduction 00:33 Create a Spark session with Spark SQL 05:11 How to use SQL with Spark 10:31 User Defined Functions (UDF) in Spark SQL 12:39 Outro FOLLOW BETTER DATA SCIENCE Website: 🤍 Medium: 🤍 LinkedIn: 🤍 FREE “LEARN DATA SCIENCE MASTERPLAN” EBOOK 🤍 GEAR I USE M1 Pro MacBook Pro 16”: 🤍 LG 27UL850 4K (Monitor): 🤍 Logitech MX Keys (Keyboard): 🤍 Logitech MX Master 3 (Mouse): 🤍 Rode NT-USB (Microphone): 🤍 Audio Technica ATH-M40X (Headphones): 🤍
Optimizing spark jobs through a true understanding of spark core. Learn: What is a partition? What is the difference between read/shuffle/write partitions? How to increase parallelism and decrease output files? Where does shuffle data go between stages? What is the "right" size for your spark partitions and files? Why does a job slow down with only a few tasks left and never finish? Why doesn't adding nodes decrease my compute time? About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business. Read more here: 🤍 Connect with us: Website: 🤍 Facebook: 🤍 Twitter: 🤍 LinkedIn: 🤍 Instagram: 🤍 Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. 🤍
Amazon Athena is a serverless, interactive service to query and analyze data stored in Amazon S3 and other data sources. In addition to SQL based query, Amazon Athena now supports Apache Spark as the engine which allows to query and analyze data using Spark Scripts. Learn how to configure and use Amazon Athena with Apache Spark.
*Note: 1+ Years of Work Experience Recommended to Sign up for Below Programs⬇️ 🔥Post Graduate Program In Data Engineering: 🤍 🔥Big Data Engineer Masters Program (Discount Code - YTBE15): 🤍 This video on What Is Apache Spark? covers all the basics of Apache Spark that a beginner needs to know. In this introduction to Apache Spark video, we will discuss what is Apache Spark, the history of Spark, Hadoop vs Spark, Spark features, components of Apache Spark, Spark core, Spark SQL, Spark streaming, applications of Spark, etc. Below topics are explained in this Apache Spark Tutorial: 00.00 Introduction 00:41 History of Spark 01:22 What is Spark? 02:26 Hadoop vs Spark 05:29 Spark Features 08:27 Components of Apache Spark 10:24 Spark Core 11:28 Resilient Distributed Dataset 18:08 Spark SQL 21:28 Spark Streaming 24:57 Spark MLlib 25:54 GraphX 27:20 Spark architecture 32:16 Spark Cluster Managers 33:59 Applications of Spark 36:01 Spark use case 38:02 Conclusion To learn more about Spark, subscribe to our YouTube channel: 🤍 To access the slides, click here: 🤍 Watch more videos on Spark Training: 🤍 #WhatIsApacheSpark #ApacheSpark #ApacheSparkTutorial #SparkTutorialForBeginners #SimplilearnApacheSpark #SparkTutorial #Simplilearn Introduction to Apache Spark: Apache Spark Is an open-source cluster computing framework that was initially developed at UC Berkeley in the AMPLab. As compared to the disk-based, two-stage MapReduce of Hadoop, Spark provides up to 100 times faster performance for a few applications with in-memory primitives. This makes it suitable for machine learning algorithms, as it allows programs to load data into the memory of a cluster and query the data constantly. A Spark project contains various components such as Spark Core and Resilient Distributed Datasets or RDDs, Spark SQL, Spark Streaming, Machine Learning Library or Mllib, and GraphX. 🔥 Enroll for FREE Big Data Hadoop Spark Course & Get your Completion Certificate: 🤍 ➡️ About Post Graduate Program In Data Engineering This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, IBM hackathons, and Ask Me Anything sessions. ✅ Key Features Post Graduate Program Certificate and Alumni Association membership - Exclusive Master Classes and Ask me Anything sessions by IBM - 8X higher live interaction in live Data Engineering online classes by industry experts - Capstone from 3 domains and 14+ Projects with Industry datasets from YouTube, Glassdoor, Facebook etc. - Simplilearn's JobAssist helps you get noticed by top hiring companies ✅ Skills Covered - Real-Time Data Processing - Data Pipelining - Big Data Analytics - Data Visualization - Provisioning data storage services - Apache Hadoop - Ingesting Streaming and Batch Data - Transforming Data - Implementing Security Requirements - Data Protection - Encryption Techniques - Data Governance and Compliance Controls 👉 Learn More At: 🤍 🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688 🎓Enhance your expertise in the below technologies to secure lucrative, high-paying job opportunities: 🟡 AI & Machine Learning - 🤍 🟢 Cyber Security - 🤍 🔴 Data Analytics - 🤍 🟠 Data Science - 🤍 🔵 Cloud Computing - 🤍
= Apache Spark SQL With Apache Hive in தமிழ் Apache Spark Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance. Apache Hive Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop. Hadoop Installation - 🤍 Hive Installation - 🤍 Spark Installation - 🤍 Video Playlist - Hadoop in Tamil - 🤍 Hadoop in English - 🤍 Spark in Tamil - 🤍 Spark in English - 🤍 Hive in Tamil - 🤍 Hive in English - 🤍 Batch vs Stream processing Tamil - 🤍 Batch vs Stream processing English - 🤍 NOSQL in English - 🤍 NOSQL in Tamil - 🤍 Scala in Tamil : 🤍 Scala in English: 🤍 Email: atozknowledge.com🤍gmail.com LinkedIn : 🤍 Instagram: 🤍 YouTube channel link 🤍youtube.com/atozknowledgevideos Website 🤍 Technology in Tamil & English #apachespark #apachehive #sparksql
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