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Website Value $802
Alexa Rank 845662
Monthly Visits 8901
Daily Visits 297
Monthly Earnings $44.51
Daily Earnings $1.48
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Techvidvan.com Server Location

Country: India
Metropolitan Area: Mumbai
Postal Reference Code: 400072
Latitude: 19.0728
Longitude: 72.8826




Summarized Content

1. Apache Pig Operators Tutorial There is a huge set of Apache Pig Operators available in Apache Pig. In this article, “Introduction to Apache Pig Operators” we will discuss all types of Apache Pig.. 1. Scala Tuples What are Scala Tuples? How do we iterate over them? How do we convert tuples in Scala to strings or swap their elements? 1. Objective There are several shining Spark SQL features available. In this article, we will focus on all those features of SparkSQL, such as unified data access, high compatibility and many more. Although, We.. 1. Objective There is one question always arise in mind, that how does Apache Spark fit in the Hadoop ecosystem. Also, sometimes question strikes how one can run spark in an existing Hadoop cluster... 1. Objective Recently, we have seen Apache Spark became a prominent player in the big data world. There is a huge spark adoption by big 1. Objective Spark streaming leverages advantage of windowed computations in Apache Spark. It offers to apply transformations over a sliding window of data. In this article, we will learn the whole concept of Apache.. 1. Objective There are some distributed agents in spark, which are responsible for executing tasks, those distributed agents are Spark Executor. In this blog, we will learn the whole concept of Apache spark executor... 1. Objective While we talk about deployment modes of spark, it specifies where the driver program will be run, basically, it is possible in two ways. At first, either on the worker node inside.. 1. Objective In Apache Spark, a stage is a physical unit of execution. We can say, it is a step in a physical execution plan. In this 1. Objective Spark Streaming enables fast, scalable and fault-tolerant processing of live data streams. In this article, we will learn the whole concept of spark streaming execution flow. For better understanding, we will start.. 1. Objective The recovery of failures of machines is already inbuilt in Apache spark streaming. This feature is what we call spark


Techvidvan Main Page Content

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Title: TechVidvan - Could be improved
Description: Could be improved
H2: TechVidvan BlogIs it informative enough?

Other Helpful Websites and Services for Techvidvan

Internal Pages

/tutorials/page/2/:
Title

TechVidvan - Page 2 of 8 - TechVidvan

Description

TechVidvan

H2

TechVidvan Blog

/tutorials/apache-pig-operators/:
Title

Apache Pig Operators with Syntax and Examples - TechVidvan

Description

Apache Pig Operators: Learn Pig Operators and Types of operators in Pig along like Dump Operators, Describe Operators, Explanations Pig Operators.

H1

Apache Pig Operators with Syntax and Examples

H2

1. Apache Pig Operators Tutorial

H3

i. Diagnostic Operators: Apache Pig Operators

/tutorials/scala-tuples/:
Title

Scala Tuples with Scala Tuple type and Examples - TechVidvan

Description

Scala Tuples: Learn What are Scala tuples, Types of Tuples in Scala, Iterating Over a Tuple, Converting a Tuple to a String, Swapping Elements etc.

H1

Scala Tuples with Scala Tuple type and Examples

H2

1. Scala Tuples

H3

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/tutorials/spark-sql-features/:
Title

7 shining Apache Spark SQL Features: A Quick Guide - TechVidvan

Description

Spark SQL features- what is Spark SQL,Features of Spark SQL: unified data access,Scalability,HIgh Compability,Integrated,Standard connectivity,performance optimization

H1

7 shining Apache Spark SQL Features: A Quick Guide

H2

1. Objective

H3

a. Unified Data Access

/tutorials/hadoop-spark-integration/:
Title

Hadoop Spark Integration: Quick Guide - TechVidvan

Description

Hadoop Spark Integration- how is Hadoop and spark integration: standalone deployment, Spark YARN deployment, Spark in mapreduce deployment (SIMR)

H1

Hadoop Spark Integration: Quick Guide

H2

1. Objective

H3

2.1. Standalone deployment

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