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| Item Details | Price | ||
|---|---|---|---|
Big Data - Hadoop & PySpark
Language: English
Instructors: Blismos Academy
$34
Why this course?
Description
The Big Data - Hadoop & PySpark Course covers the topics from the very basics of Big Data to the level needed to work in live projects. The Course is a must for anyone in the IT industry and prospective Big Data experts. The Course is the right blend of big data concepts and hands-on in HDFS, MapReduce, HIVE, SQOOP, No-SQL, Kafka, Python, PySpark in detail.
Course Curriculum
| Introduction | |||
| Welcome to the Course Video (2:00) | |||
| The Fundamentals | |||
| Data VS Information (4:00) | |||
| Data Storage and Processing (8:00) | |||
| Data Sources (7:00) | |||
| Big Data Introduction (12:00) | |||
| Fundamentals Assessment | |||
| Live Class on March 6 2023 (59:00) | |||
| The Foundations of Big Data | |||
| 2.1 Emergence of Big Data | |||
| Emergence of Big Data (5:00) | |||
| Basic Terminologies (4:00) | |||
| Foundations Assessment 1 | |||
| 2.2 Central Theme of Big Data | |||
| Central Theme of Big Data (8:00) | |||
| Requirements of Programming Model (13:00) | |||
| Understand Distributed Processing through a Story (6:00) | |||
| Foundations Assessment 2 | |||
| LiveClassMarch82023 (67:00) | |||
| LiveClassMarch152023 (46:00) | |||
| Environment and Installations | |||
| OracleVMInstallation | |||
| 1Oracle_VM_Installation_1 (3:00) | |||
| Google Cloud Platform Setup | |||
| How to install Ubuntu operating system on Virtual box (7:00) | |||
| How to install PySpark on Ubuntu with Java and Python_3 (10:00) | |||
| How to configure Pyspark with Pycharm_with_Installation (7:00) | |||
| Google Cloud Platform Setup (10:00) | |||
| Hadoop Ecosystem | |||
| 3.1 Introduction to Hadoop Ecosystem | |||
| Introduction to Hadoop Ecosystem (12:00) | |||
| Hadoop Ecosystem Assessment 1 | |||
| 3.2 Hadoop Distributed File System | |||
| What is HDFS? (8:00) | |||
| Nodes in HDFS (7:00) | |||
| LiveClassMarch172023 (51:00) | |||
| HDFS Assessment1 | |||
| Storing File in HDFS (14:00) | |||
| Reading File from HDFS (5:00) | |||
| HDFS Assessment2 | |||
| Challenges in Distributed Systems (5:00) | |||
| LiveclassMarch232023 (41:00) | |||
| Managing the Data Node Failure (17:00) | |||
| LiveClassMarch242023 (60:00) | |||
| HDFS Assessment3 | |||
| Managing Name Node Failure (10:00) | |||
| LiveclassMarch272023 (82:00) | |||
| HDFS Commands Part 1 (11:00) | |||
| HDFS Commands Part2 (7:00) | |||
| LiveclassMarch282023 (77:00) | |||
| HDFS Assessment 4 | |||
| 3.3 Map Reduce | |||
| Introduction to Map Reduce (9:00) | |||
| Map Reduce Flow Example 1 (8:00) | |||
| Map Reduce Implementation (5:00) | |||
| LiveClassMarch292023 (65:00) | |||
| Map Reduce Example 2 - User View Count (8:00) | |||
| Map Reduce Mappers and Reducers (12:00) | |||
| MapReduce Assessment 1 | |||
| Shuffle-Sort-Partitions (12:00) | |||
| LiveClassMarch302023 (75:00) | |||
| Map Reduce Combiners (11:00) | |||
| Combiner with Caution (9:00) | |||
| Map Reduce Wrap Up (2:00) | |||
| MapReduce Assessment 2 | |||
| 3.4 Hive | |||
| Transactional and Analytical Processing (10:00) | |||
| What is Data warehouse? (6:00) | |||
| Introducing Hive (10:00) | |||
| LiveclassMarch312023 (76:00) | |||
| Hive Assessment 1 | |||
| Hive Hands-on1 (11:00) | |||
| Hive Hands-on2 (10:00) | |||
| Hive Hands-On Assessment 1 | |||
| Hive vs RDBMS (15:00) | |||
| LiveClassApril32023 (63:00) | |||
| Hive Architecture (8:00) | |||
| LiveClassApril042023 (64:00) | |||
| Hive Metastore (4:00) | |||
| Hive Assessment 2 | |||
| Hive Hands-On 3 (7:00) | |||
| Hive Hands_on Assessment 2 | |||
| Primitive Datatypes in Hive (7:00) | |||
| How storage works in Hive (4:00) | |||
| Different types of Tables in Hive (7:00) | |||
| LiveApril52023 (58:00) | |||
| Hive Assessment 3 | |||
| Hive Hands-on4 (12:00) | |||
| Hive Hands-on5 (13:00) | |||
| Hive Hands-on Assessment3 | |||
| Inserting the Data into Hive Tables (4:00) | |||
| Hive Hands-on6-Inserting data into Tables (22:00) | |||
| LiveclassApril62023 (63:00) | |||
| LiveClassApril102023 (65:00) | |||
| Hive Complex Datatypes (5:00) | |||
| LiveclassApril112023 (47:00) | |||
| Hive User Defined Functions (7:00) | |||
| LiveclassApril122023 (71:00) | |||
| Hive Assessment 4 | |||
| Hive Hands-on7 _Complex Datatype (12:00) | |||
| Hive Hands-on Retrieving Elements from Complex data types columns and Explode (12:00) | |||
| Hive Hands_on Assessment 4 | |||
| Denormalized Storage in Hive (13:00) | |||
| Hive Optimization Of The Queries Theory (11:00) | |||
| Hive Partition & Bucketing Theorypart1 (13:00) | |||
| LiveClassApril132023 (66:00) | |||
| Hive Partition & Bucketing Theory Part2 (9:00) | |||
| Hive Assessment 5 | |||
| Hive Hands-on9- Partitioning Part1 (24:00) | |||
| LiveClassApril142023 (38:00) | |||
| Hive Hands on10 Partitioning Part 2 (12:00) | |||
| Hive Hands on11-Bucketing (13:00) | |||
| LiveClassApril172023 (52:00) | |||
| Hive Hands Assessment-5 | |||
| Python for PySpark | |||
| Introduction to Programming | |||
| Introduction to Programming (16:00) | |||
| LiveClassApril182023IntrotoProgramming (64:00) | |||
| Python Programming | |||
| Introduction to Python (7:00) | |||
| Environment for Python (4:00) | |||
| Executing Python Code (6:00) | |||
| LiveclassApril192023PythonIntro1 (24:00) | |||
| Python Assessment 1 | |||
| Syntax, Indentation and Comments (6:00) | |||
| Syntax, Indentation and Comments - Practical (5:00) | |||
| LiveClassApril202023PythonIndentationVariables (60:00) | |||
| Variables (12:00) | |||
| Variable Practical's (11:00) | |||
| Python Datatypes (15:00) | |||
| LiveClassApril212023PythonDataTypes (56:00) | |||
| Python Datatypes Practicals (10:00) | |||
| Python Assessment 2 | |||
| Python Operator Concepts (13:00) | |||
| Python Operator Praticals (9:00) | |||
| LiveClassApril252023PythonOperators (84:00) | |||
| Control Flows in Python (4:00) | |||
| LiveClassApril262023PythonControlFlowIntro (20:00) | |||
| Control Flows - IF ELSE Concepts (6:00) | |||
| If Else Practical (4:00) | |||
| Loops Theory (10:00) | |||
| Loops Practical (8:00) | |||
| LiveclassApril272023PythonControlFlow (64:00) | |||
| Python Assessment 3 | |||
| Python Function Concepts (11:00) | |||
| Python Function Hands-on (9:00) | |||
| Apache Spark | |||
| Introduction to Spark | |||
| Why Spark? (6:00) | |||
| Advantages of Spark (7:00) | |||
| LiveClassMay42023WhySparkandAdvantagesofSpark (46:00) | |||
| What is Spark? (6:00) | |||
| Components of Spark (2:00) | |||
| LiveclassMay52023WhatisSpark (39:00) | |||
| History of Spark (5:00) | |||
| Introduction to Spark Assessment1 | |||
| Overview of the Spark | |||
| Architecture of Spark (9:00) | |||
| LiveClassMay82023ArchitecutreofSpark (49:00) | |||
| Spark Session (6:00) | |||
| Spark Session Terminal & Jupyter notebook Hands-On (4:00) | |||
| Spark Language API (4:00) | |||
| Overview of the Spark Assessment1 | |||
| Dataframes and Partitions (8:00) | |||
| How to Create Dataframe in Terminal and in Jupyter Notebook? (4:00) | |||
| Spark Transformations (9:00) | |||
| Spark Actions (8:00) | |||
| Overview of the Spark Assessment2 | |||
| Structured API Overview | |||
| Structured APIs - Dataframes and Datasets (7:00) | |||
| Schema Definition (4:00) | |||
| Spark Types (5:00) | |||
| Structured API Execution (6:00) | |||
| Structured API Overview Assessment1 | |||
| Operations on Dataframes | |||
| Dataframe Columns (11:00) | |||
| Columns as Expression (5:00) | |||
| Dataframe Rows (6:00) | |||
| Operations on Dataframe Assessment1 | |||
| Ways of Creating Dataframe (16:00) | |||
| Methods to Manipulate Columns (20:00) | |||
| DataFrame Transformations (2:00) | |||
| Operations on Dataframe Assessment2 | |||
| Dataframe Transformation - Columns (15:00) | |||
| Dataframe Transformations - Rows Part1 (14:00) | |||
| Dataframe Transformation - Rows Part2 (19:00) | |||
| Operations on Dataframe Assessment3 | |||
| Working with Different Types of Data | |||
| Introduction to working with Different Types of Data (2:00) | |||
| Working with Booleans (15:00) | |||
| Working with Numbers (15:00) | |||
| Working with Strings (10:00) | |||
| Working with Strings Practical1 (8:00) | |||
| Working with String Practical2 (7:00) | |||
| Introduction to working with Different Types of Data Assessment 1 | |||
| Working with Date and Time Stamps (17:00) | |||
| Working with Null Concepts (7:00) | |||
| Working with Nulls Practicals (15:00) | |||
| Working with Complex Types (9:00) | |||
| Working with Complex types practical (11:00) | |||
| User Defined Functions - Concepts (12:00) | |||
| User Defined Functions - Practicals (8:00) | |||
| Introduction to working with Different Types of Data Assessment 2 | |||
| Creating Dataframes from different sources | |||
| Data Sources Introduction (4:00) | |||
| Read-API- Data Sources (4:00) | |||
| Read-API-Practical (12:00) | |||
| Write-API-Data Sources (3:00) | |||
| Write-API-Practical (13:00) | |||
| Creating Dataframes from different sources Assessment 1 | |||
| Reading from CSV Files (10:00) | |||
| Writing into CSV Files (5:00) | |||
| Reading from JSON Files and Writing into JSON (9:00) | |||
| Reading from Parquet and writing into Parquet (11:00) | |||
| Reading from ORC and writing into ORC (9:00) | |||
| Unstructured Data - Text File - Reading and Writing (12:00) | |||
| Introduction to reading data from structured sources (6:00) | |||
| Reading data from structured sources - Database - Concepts (9:00) | |||
| Reading data from structured sources - Database - Practicals (15:00) | |||
| Query Pushdown Concepts (8:00) | |||
| Query Pushdown Praticals (7:00) | |||
| Writing into structured sources - Database - Concepts (5:00) | |||
| Writing into structured sources - Database - Practicals (11:00) | |||
| Creating Dataframes from different sources Assessment 2 | |||
| Aggregations | |||
| Introduction to Aggregations (9:00) | |||
| Aggregataion Concepts - Count (7:00) | |||
| Aggregation_Practical-1-Count (15:00) | |||
| Aggregation Concepts - First, Sum and Average (4:00) | |||
| Aggregation - Practical - 2FirstLastAverage (12:00) | |||
| Aggregation Assessment 1 | |||
| Aggregation concepts - Statistical Functions (11:00) | |||
| Aggregation-Practical-3-StatisticalFunctions (11:00) | |||
| Aggregation Concepts - Grouping (5:00) | |||
| Aggregation-Practical-4-GroupBy (9:00) | |||
| Aggregation Concepts - Window Functions (8:00) | |||
| Aggregation-Practical-5-WindowFunctions (15:00) | |||
| Aggregation Concepts - RollUp and Cube (6:00) | |||
| Aggregation-Practical-6-RollupandCube (12:00) | |||
| Aggregation Assessment 2 | |||
| Spark Joins | |||
| Spark Joins Theory-1-Introduction (5:00) | |||
| Spark Joins Theory-2-How Joins Work (5:00) | |||
| Spark Joins-Theory-3-Inner Joins (2:00) | |||
| Spark Joins -Practical -1-Innerjoins (7:00) | |||
| Saprk Joins - Theory-4 - Outer Joins (5:00) | |||
| Spark Joins -Practical - OuterJoins (6:00) | |||
| Spark Joins -Theory - 5-Left Semi & Anti Joins (6:00) | |||
| Spark Joins - Practical - LeftSemiAntiJoins (4:00) | |||
| Spark Joins -Theory -6-CrossJoin (4:00) | |||
| Spark Joins - Practical- CrossJoins (3:00) | |||
| Spark Joins -Theory -7-ChallengesInJoins (7:00) | |||
| Spark Joins-5-Practical-TacklingtheChallengesinJoins (16:00) | |||
| Spark Joins -Theory -8-CommunicationStrategies (17:00) | |||
| Joins Assessment | |||
| Resilient Distributed Datasets-RDDs | |||
| What is an RDD ? (6:00) | |||
| Introduction to Low Level APIs (7:00) | |||
| Properties Of RDD (3:00) | |||
| When to use RDDs (3:00) | |||
| Creating RDDs (12:00) | |||
| RDD Practical-1-Creating RDDs (10:00) | |||
| RDD Assessment 1 | |||
| RDD Lineage (6:00) | |||
| RDD Transformations (13:00) | |||
| RDD - Transformations Practical (10:00) | |||
| RDD Actions (12:00) | |||
| RDD Actions - Practical (11:00) | |||
| RDDT Saving To File (3:00) | |||
| RDD Saving to a File - Practical (3:00) | |||
| RDD Assessment 2 | |||
| Distributed Variables | |||
| Distributed Variables - Introduction (3:00) | |||
| Broadcast Variables (13:00) | |||
| Broadcast Variables - Practical (6:00) | |||
| Accumulators (10:00) | |||
| Accumulators - Practical (6:00) | |||
| Distributed Variables Assessment | |||
| How Spark runs on a Cluster | |||
| Introduction (3:00) | |||
| How Spark runs on a Cluster - ClusterManager (3:00) | |||
| How Spark runs on a Cluster - ExecutionModes (4:00) | |||
| Life Cycle a Spark Application - Outside Spark (7:00) | |||
| Life Cycle of a Spark Application - Inside Spark (12:00) | |||
| How Spark runs on a Cluster Assessment | |||
| LiveclassMay92023PySparkSparkSession (76:00) | |||
| LiveclassMay112023PysparkTransformations (56:00) | |||
| LiveclassMay122023PySparkActions (40:00) | |||
| LiveclassMay152023SparkStructuredAPIDatatypes (46:00) | |||
| LiveclassMay162023PySparkLogicalPhysicalCatalystOptimizer (78:00) | |||
| LiveclassMay182023PySparkColumnsandRows (26:00) | |||
| LiveclassMay192023PysparkCreatingDataframes (52:00) | |||
| LiveclassMay222023PySparkColumnManipulation (74:00) | |||
| LiveClassMay242023PySparkRowTransformationsSort (46:00) | |||
| LiveclassMay252023PySparkBooleans (49:00) | |||
| LiveclassMay262023PySparkNumbers&Spaces (61:00) | |||
| LiveclassMay292023PySparkStringManipulationDate (40:00) | |||
| LiveclassMay30PySparkNullpracticals&ComplexDataTypes (59:00) | |||
| LiveclassJune12023PySparkCompleTypesPracticalUDFTheory (44:00) | |||
| LiveclassJune22023PySparkUDFPracticals (61:00) | |||
| LiveclassJune52023PySparkDataSources1 (45:00) | |||
| LiveclassJune072023PySparkWritemode (83:00) | |||
| LiveclassJune082023PySparkCSVJSONParquet (71:00) | |||
| LiveclassJune092023DataSourceTextFileandplans (62:00) | |||
| LiveclassJune132023PySparkReadingfromDatabase (55:00) | |||
| LiveClassJune142023PySparkWritingtoDBandAggregationINtro (67:00) | |||
| LiveClassJune162023PySparkAggregationsGroupBY (47:00) | |||
| LiveclassJune192023PySparkWindowRollUPCube (77:00) | |||
| LiveclassJune202023PySparkJOins1 (59:00) | |||
| LiveClassJune212023PysparkJoins2 (52:00) | |||
| LiveClassJune272023PySparkCommunicationStrategies (43:00) | |||
| LiveClassJune282023PySparkJoinStrategiesHandson (64:00) | |||
| LiveclassJuly032023PySparkJoinStrategyHints (43:00) | |||
| LiveClassJuly42023PySparkRDD1 (57:00) | |||
| LiveClassJuly52023PySparkRDD2Transformation (57:00) | |||
| LiveClassJuly062023PySparkRDDActions (35:00) | |||
| LiveClassJuly72023PySparkDistributedVariables (46:00) | |||
| Feb 5 2024 Batch Live Videos | |||
| IntrotoDataFeb52024 (79:00) | |||
| Feb7WhatisBigData (32:00) | |||
| 3rdClassFebBigDataTerminolgies (42:00) | |||
| CentralThemeofBigDataFeb122024 (65:00) | |||
| PastaStoryHadoopEcsystemINtro (19:00) | |||
| HDFS1NameNodeDataNode (59:00) | |||
| TacklingtheChallengesofDataNodeandNamenodeFailure (57:00) | |||
| MapReducePart1 (72:00) | |||
| MapReducePart2Reducers&Combiners (58:00) | |||
| TransactionalVsAnalyticalDatawarehouseintrotohive (72:00) | |||
| IntroductiontoProgrammingLanguage (28:00) | |||
| PythonIntroductionVariables (49:00) | |||
| PythongIntrotoDatatypes (11:00) | |||
| PythonDataTypesPracticalOperatorsConcepts (25:00) | |||
| Python-ControlFlows (34:00) | |||
| PythonFunction (20:00) | |||
| SparkIntroduction (47:00) | |||
| SparkArchitecture (73:00) | |||
| SparkSession&Dataframecreation (43:00) | |||
| SparkTransformationandActions (50:00) | |||
| SparkTypesandSchema (34:00) | |||
| StructuredAPIExecutionandLogicalandPhysicalPlan (41:00) | |||
| ColumnsRowsandCreatingtheDataframes (26:00) | |||
| WorkingwithDataframes (50:00) | |||
| ColumnandRowManipulations (48:00) | |||
| RowsSortandUnion (35:00) | |||
| DifferentTypesofData-BooleanandNumericals (46:00) | |||
| SparkStringManipulations (37:00) | |||
| SparkDates (20:00) | |||
| SparkHandlingNull (36:00) | |||
| SparkHandlingComplexDataTypes (18:00) | |||
| SparkUDfs (36:00) | |||
| SparkPythonUDFProcessandDataFramereader (51:00) | |||
| video1972650244 (29:00) | |||
| SparkReadingCSVRepartition&coalesce (54:00) | |||
| SparkJSONParquetORCandtextfiles | |||
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