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Item Details | Price |
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Language: English
Instructors: Blismos Academy
Introduction | |||
Welcome to the Course Video | |||
The Fundamentals | |||
Data VS Information | |||
Data Storage and Processing | |||
Data Sources | |||
Big Data Introduction | |||
Fundamentals Assessment | |||
The Foundations of Big Data | |||
2.1 Emergence of Big Data | |||
Emergence of Big Data | |||
Basic Terminologies | |||
Foundations Assessment 1 | |||
2.2 Central Theme of Big Data | |||
Central Theme of Big Data | |||
Requirements of Programming Model | |||
Understand Distributed Processing through a Story | |||
Foundations Assessment 2 | |||
Environment and Installations | |||
OracleVMInstallation | |||
1Oracle_VM_Installation_1 | |||
Google Cloud Platform Setup | |||
Google Cloud Platform Setup | |||
How to install Ubuntu operating system on Virtual box | |||
How to install PySpark on Ubuntu with Java and Python_3 | |||
How to configure Pyspark with Pycharm_with_Installation | |||
Hadoop Ecosystem | |||
3.1 Introduction to Hadoop Ecosystem | |||
Introduction to Hadoop Ecosystem | |||
Hadoop Ecosystem Assessment 1 | |||
Python for PySpark | |||
Introduction to Programming | |||
Introduction to Programming | |||
Python Programming | |||
Introduction to Python | |||
Environment for Python | |||
Executing Python Code | |||
Python Assessment 1 | |||
Syntax, Indentation and Comments | |||
Syntax, Indentation and Comments - Practical | |||
Variables | |||
Variable Practical's | |||
Python Datatypes | |||
Python Datatypes Practicals | |||
Python Assessment 2 | |||
Python Operator Concepts | |||
Python Operator Praticals | |||
Control Flows in Python | |||
Control Flows - IF ELSE Concepts | |||
If Else Practical | |||
Loops Theory | |||
Loops Practical | |||
Python Assessment 3 | |||
Python Function Concepts | |||
Python Function Hands-on | |||
Apache Spark | |||
Introduction to Spark | |||
Why Spark? | |||
Advantages of Spark | |||
What is Spark? | |||
Components of Spark | |||
History of Spark | |||
Introduction to Spark Assessment1 | |||
LiveClassMay82023ArchitecutreofSpark | |||
LiveclassMay52023WhatisSpark | |||
LiveClassMay42023WhySparkandAdvantagesofSpark | |||
Overview of the Spark | |||
Architecture of Spark | |||
Spark Session | |||
Spark Sessionin Terminal & Jupyter notebook | |||
Spark Sessionin Terminal & Jupyter notebook | |||
Spark Language API | |||
Overview of the Spark Assessment1 | |||
Dataframes and Partitions | |||
How to Create Dataframe in Terminal and in Jupyter Notebook? | |||
Spark Transformations | |||
Spark Actions | |||
Overview of the Spark Assessment2 | |||
Structured API Overview | |||
Structured APIs - Dataframes and Datasets | |||
Schema Definition | |||
Spark Types | |||
Structured API Execution | |||
Structured API Overview Assessment1 | |||
Operations on Dataframes | |||
Dataframe Columns | |||
Columns as Expression | |||
Dataframe Rows | |||
Operations on Dataframe Assessment1 | |||
Ways of Creating Dataframe | |||
Methods to Manipulate Columns | |||
DataFrame Transformations | |||
Operations on Dataframe Assessment2 | |||
Dataframe Transformation - Columns | |||
Dataframe Transformations - Rows Part1 | |||
Dataframe Transformation - Rows Part2 | |||
Operations on Dataframe Assessment3 | |||
Working with Different Types of Data | |||
Introduction to working with Different Types of Data | |||
Working with Booleans | |||
Working with Numbers | |||
Working with Strings | |||
Working with Strings Practical1 | |||
Working with String Practical2 | |||
Introduction to working with Different Types of Data Assessment 1 | |||
Working with Date and Time Stamps | |||
Working with Null Concepts | |||
Working with Nulls Practicals | |||
Working with Complex Types | |||
User Defined Functions - Concepts | |||
User Defined Functions - Practicals | |||
Working with Complex types practical | |||
Introduction to working with Different Types of Data Assessment 2 | |||
Creating Dataframes from different sources | |||
Data Sources Introduction | |||
Read-API- Data Sources | |||
Read-API-Practical | |||
Write-API-Data Sources | |||
Write-API-Practical | |||
Creating Dataframes from different sources Assessment 1 | |||
Reading from CSV Files | |||
Writing into CSV Files | |||
Reading from JSON Files and Writing into JSON | |||
Reading from Parquet and writing into Parquet | |||
Reading from ORC and writing into ORC | |||
Unstructured Data - Text File - Reading and Writing | |||
Introduction to reading data from structured sources | |||
Reading data from structured sources - Database - Concepts | |||
Reading data from structured sources - Database - Practicals | |||
Query Pushdown Concepts | |||
Query Pushdown Praticals | |||
Writing into structured sources - Database - Concepts | |||
Writing into structured sources - Database - Practicals | |||
Creating Dataframes from different sources Assessment 2 | |||
Aggregations | |||
Introduction to Aggregations | |||
Aggregataion Concepts - Count | |||
Aggregation_Practical-1-Count | |||
Aggregation1 | |||
Aggregation Concepts - First, Sum and Average | |||
Aggregation - Practical - 2FirstLastAverage | |||
Aggregation concepts - Statistical Functions | |||
Aggregation-Practical-3-StatisticalFunctions | |||
Aggregation Concepts - Grouping | |||
Aggregation-Practical-4-GroupBy | |||
Aggregation Concepts - Window Functions | |||
Aggregation-Practical-5-WindowFunctions | |||
Aggregation Concepts - RollUp and Cube | |||
Aggregation-Practical-6-RollupandCube | |||
Spark Joins | |||
Spark Joins Theory-1-Introduction | |||
Spark Joins Theory-2-How Joins Work | |||
Spark Joins-Theory-3-Inner Joins | |||
Spark Joins -Practical -1-Innerjoins | |||
Saprk Joins - Theory-4 - Outer Joins | |||
Spark Joins -Practical - OuterJoins | |||
Spark Joins -Theory - 5-Left Semi & Anti Joins | |||
Spark Joins - Practical - LeftSemiAntiJoins | |||
Spark Joins -Theory -6-CrossJoin | |||
Spark Joins - Practical- CrossJoins | |||
Spark Joins -Theory -7-ChallengesInJoins | |||
Spark Joins-5-Practical-TacklingtheChallengesinJoins | |||
Spark Joins -Theory -8-CommunicationStrategies | |||
Resilient Distributed Datasets-RDDs | |||
What is an RDD ? | |||
Introduction to Low Level APIs | |||
Properties Of RDD | |||
When to use RDDs | |||
Creating RDDs | |||
RDD Practical-1-Creating RDDs | |||
RDD Lineage | |||
RDD Transformations | |||
RDD - Transformations Practical | |||
RDD Actions | |||
RDD Actions - Practical | |||
RDDT Saving To File | |||
RDD Saving to a File - Practical | |||
Distributed Variables | |||
Distributed Variables - Introduction | |||
Broadcast Variables | |||
Broadcast Variables - Practical | |||
Accumulators | |||
Accumulators - Practical | |||
How Spark runs on a Cluster | |||
Introduction | |||
How Spark runs on a Cluster - ClusterManager | |||
How Spark runs on a Cluster - ExecutionModes | |||
Life Cycle a Spark Application - Outside Spark | |||
Life Cycle of a Spark Application - Inside Spark | |||
LiveclassMay92023PySparkSparkSession | |||
LiveclassMay112023PysparkTransformations | |||
LiveclassMay122023PySparkActions | |||
LiveclassMay152023SparkStructuredAPIDatatypes | |||
LiveclassMay162023PySparkLogicalPhysicalCatalystOptimizer | |||
LiveclassMay182023PySparkColumnsandRows | |||
LiveclassMay192023PysparkCreatingDataframes | |||
LiveclassMay222023PySparkColumnManipulation | |||
LiveClassMay242023PySparkRowTransformationsSort | |||
LiveclassMay252023PySparkBooleans | |||
LiveclassMay262023PySparkNumbers&Spaces | |||
LiveclassMay292023PySparkStringManipulationDate | |||
LiveclassMay30PySparkNullpracticals&ComplexDataTypes | |||
LiveclassJune12023PySparkCompleTypesPracticalUDFTheory | |||
LiveclassJune22023PySparkUDFPracticals | |||
LiveclassJune52023PySparkDataSources1 | |||
LiveclassJune072023PySparkWritemode | |||
LiveclassJune082023PySparkCSVJSONParquet | |||
LiveclassJune092023DataSourceTextFileandplans | |||
LiveclassJune132023PySparkReadingfromDatabase | |||
LiveClassJune142023PySparkWritingtoDBandAggregationINtro | |||
LiveclassJune152023PySparkAggregations | |||
LiveClassJune162023PySparkAggregationsGroupBY | |||
LiveclassJune192023PySparkWindowRollUPCube | |||
LiveclassJune202023PySparkJOins1 | |||
LiveClassJune212023PysparkJoins2 | |||
LiveClassJune272023PySparkCommunicationStrategies | |||
LiveClassJune282023PySparkJoinStrategiesHandson | |||
LiveclassJuly032023PySparkJoinStrategyHints | |||
LiveClassJuly42023PySparkRDD1 | |||
LiveClassJuly52023PySparkRDD2Transformation | |||
LiveClassJuly062023PySparkRDDActions | |||
LiveClassJuly72023PySparkDistributedVariables |
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