Learning Apache Spark | Master Spark for Big Data Processing
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Unlock the power of big data with Apache Spark!
In this course, you’ll learn how to use Apache Spark with Python to work with data.
We’ll start with the basics and move up to advanced projects and machine learning.
Whether you’re just starting or already know some Python, this course will teach you step-by-step how to process and analyze big data.
What You’ll Learn:
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Use PySpark’s DataFrame: Learn to organize and work with data.
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Store Data Efficiently: Use formats like Parquet to store data quickly.
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Use SQL in PySpark: Work with data using SQL, just like with DataFrames.
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Connect PySpark with Python Tools: Dig deeper into data with Python’s data tools.
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Machine Learning with PySpark’s MLlib: Work on big projects using machine learning.
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Real-World Examples: Learn by doing with practical examples.
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Handle Large Data Sets: Understand how to manage big data easily.
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Solve Real-World Problems: Apply Spark to real-life data challenges.
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Build Confidence in PySpark: Get better at big data processing.
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Manage and Analyze Data: Gain skills for both work and personal projects.
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Prepare for Data Jobs: Build skills for jobs in tech, finance, and healthcare.
By the end of this course, you’ll have a solid foundation in Spark, ready to tackle real-world data challenges.
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3Let’s understand WordCountVideo lesson
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4Let’s understand Map and ReduceVideo lesson
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5Programming with Map and ReduceVideo lesson
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6Let’s understand HadoopVideo lesson
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7Apache Hadoop ArchitectureVideo lesson
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8Apache Hadoop and Apache SparkVideo lesson
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9Apache Spark ArchitectureVideo lesson
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10What is PySparkVideo lesson
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45Introduction to PandasVideo lesson
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46Pandas API on SparkVideo lesson
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47Reading and Writing Data with Pandas P1Video lesson
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48Reading and Writing Data with Pandas P2Video lesson
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49Data Manipulation with PySpark PandasVideo lesson
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50Merging and Joining in PySpark PandasVideo lesson
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51Grouping and Aggregation with PySpark PandasVideo lesson
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52Visualizing Data in PySpark PandasVideo lesson
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53What is Apache Spark Structure StreamingVideo lesson
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54How Apache Spark handles Structured StreamingVideo lesson
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55Handling Programmatically Streaming DataVideo lesson
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56Programmatic Modes by Apache SparkVideo lesson
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57DataFrames for StreamingVideo lesson
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58readStream APIVideo lesson
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59writeStream APIVideo lesson
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60Querying DataVideo lesson
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61StreamingQuery - stopVideo lesson
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62Structured Streaming with Kafka and Spark P1Video lesson
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63Structured Streaming with Kafka and Spark P2Video lesson
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64Structured Streaming with Kafka and Spark P3Video lesson
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65Terminate the Kafka EnvironmentVideo lesson
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66Handling Late Data Arrivals and Water Marking P1Video lesson
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67Handling Late Data Arrivals and Water Marking P2Video lesson

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