HDFS Fedaration Tutoria

HDFS Federation in Hadoop web based preparing builds up the HDFS design in Hadoop classes over an unmistakable partition of capacity and namespace, empowering Generic piece stockpiling layer, it licenses bolster for some namespaces in The bunch to create confinement and versatility.

The presentation of HDFS alliance in Hadoop preparing Hyderabad:

HDFS alliance is one of the parts in Hadoop online training.Learn Hadoop organization having capacity layer and namespace layer. It permits the piece stockpiling layer. It additionally builds up the engineering of HDFS The current HDFS design has two sections in online Hadoop preparing.

1. Namespace

2. Square Storage

Namespace: This layer control registries, records, and squares. This layer permits the Basic document framework operations for instance formation of records, posting of records, cancellation Of documents, change of documents, envelopes, for HDFS organization in Hadoop preparing

Square stockpiling: The piece stockpiling has two sections 1.block administration

2.Physical capacity

1. Piece administration: This deals with the information hubs in bunch and accessibility of Operation like adjustment, erasure, creation, and hunt.

2. Physical capacity: This stores the pieces and gives access to compose Or read operationsThese are the two sections of HDFS league in Hadoop web based preparing.

Set up HDFS Architecture in Hadoop web based preparing:

In the present HDFS Architecture, we have just a single namespace for a whole bunch that is Managed by single name hub. Utilizing this we will set up the HDFS design. Learn Hadoop league can characterize the propelled engineering to beaten the restrictions Of current HDFS usage.

A portion of the constraints of HDFS Architecture in online Hadoop preparing given beneath

1. coupled Block Storage and Namespace

2. Namespace Scalability

3. Execution

4. Seclusion

HDFS alliance in Hadoop web based preparing organizations in Hyderabad:

Learn Hadoop alliance permits scaling and name benefit. It utilizes a few name hubs which

Are autonomous of each other, these free name hubs are unify. These information hubs

utilized As regular stockpiling by all the name hubs, every information hub enlisted with all the name

hubs In the group One namespace and its square are alluding as Namespace Volume. At the point when

the namespace is Deleted the equivalent square pool at the information hub erased, during the time spent

bunch up degree, each namespace volume overhauled as a unit.

Advantages of learning Hadoop Federation:

Nonexclusive Storage Service:

Read More: Kosmik

HDFS Fedaration

What is HDFS federation? In Hadoop online training in Hyderabad:


HDFS Federation in Hadoop online training develops the HDFS architecture in Hadoop classes across a clear separation of storage and namespace, enabling Generic block storage layer, it permits support for many namespaces in The cluster to develop isolation and scalability.

The introduction of HDFS federation in Hadoop training Hyderabad:

HDFS federation is one of the parts in Hadoop online training.Learn Hadoop federation having storage layer and namespace layer. It allows the block storage layer. It also develops the architecture of HDFS The current HDFS architecture has two parts in online Hadoop training.

1. Namespace
2. Block Storage


Namespace: This layer control directories, files, and blocks. This layer allows  the Basic file system operations for example creation of files, listing  of files, deletion Of files, modification of files, folders, for HDFS   federation in Hadoop training


Block storage: The block storage has two parts      1.block management
                                                                         2.Physical storage
                                           
1. Block management: This manages the data nodes in cluster and availability of  Operation like modification, deletion, creation, and search.

2. Physical storage: This stores the blocks and provides access for write Or read operationsThese are the two parts of HDFS federation in Hadoop online training.


Put in place HDFS Architecture in Hadoop online training:

In the present HDFS Architecture, we have only one namespace for an entire cluster that is Managed by single name node. Using this we will put in place the HDFS architecture. Learn Hadoop federation can define the advanced architecture to beaten the limitations Of current HDFS implementation.

Some of the limitations of HDFS Architecture in online Hadoop training given below

1. coupled Block Storage and Namespace
2. Namespace Scalability
3. Performance
4. Isolation


HDFS federation in Hadoop online training institutes in Hyderabad:

Learn Hadoop federation allows scaling and name service. It uses several name nodes which
Are independent of each other, these independent name nodes are federate. These data nodes
used As common storage by all the name nodes, each data node registered with all the name
nodes In the cluster One namespace and its block are referring as Namespace Volume. When
the namespace is Deleted the equal block pool at the data node deleted, in the process Of
cluster up gradation, each namespace volume upgraded as a unit.


Benefits of learning Hadoop Federation:


Generic Storage Service:

The block level pool consideration allows the architecture to build New file systems on top of block storage. We can build new applications On the block storage layer without using the  file system interface

Scalability and Isolation:

 Many name nodes scale up in the file system namespace. The namespace volumes are separate for categories of application  and users And provides absolute isolation.

Simple Design:

 namespaces and Name nodes are independent of each other. Existing name  nodes required for changing the design This requires changing the existing name nodes. Each name node built to be robust.Federation is also backward compatible.


Hadoop online training in Hyderabad:

Kosmik Technologies provides Hadoop online training in Hyderabad. we provide the best faculty
for Hadoop training And we provide certification for particular courses.

Objects Identification in Selenium

 

Object Identification in Selenium & Selenium online training in Hyderabad:

We are testing various applications when we learn selenium, means application Under test, if we want to identify the object it made of. All applications are Either desktop applications or web applications in selenium training. These Applications are consisting of various objects given below.

1.Text Box
2.Button
3.Radio Button
4.Link
5.Drop Down
6.Slider
7.List Box

In selenium online classes, object identification is most of the automation activity. Automation people should be able to identify the objects in selenium online training. To identify the objects in selenium training we have to use the concept of LOCATORs.

The objects identifying which used in automating the test cases using Selenium training.

Some of the Locators in selenium online training:

Name

1. ID
2. Class
3. XPath
4. CSS
5. DOM
6. Tag Name
7. Filters
8. Link Text

These are the locators in selenium online training in Hyderabad.

Locator elements in selenium online classes:

We expect to result in locator for finding an element in on line selenium training. The elements are

Listed below

• By.id(id)
• By.name(name)
• By. Path(path)
• By.cssSelector(selector)
• By. class(class)
• By.tagName(name)
• By.linkText(link Text)
• By.partialLinkText(partialLinkText)

Most used locators in selenium classes are XPath and CSS. This is the easy way to identify the object of the application which  Is built on Firefox. But same on the other way if the application Is made on IE browser then it is difficult to identify the Object.

.

Some of the Locators in selenium online training:

• Name
• ID
• Class
• XPath
• CSS
• DOM
• tagName
• Filters
• Link Text

These are the locators in selenium online training in Hyderabad.


Locator elements in selenium online classes:

We expect to result in locator for finding an element in on line selenium training. The elements are Listed below

• By.id(id)
• By.name(name)
• By. path(path)
• By.cssSelector(selector)
• By. Class(class)
• By.tagName(name)
• By.linkText(link Text)
• By.partialLinkText(partialLinkText)

Most used locators in selenium classes are XPath and CSS.

This is an easy way to identify the object of the application which  Is built on Firefox. But same on the other way if the application  Is made on IE browser then it is difficult to identify the Object.

We have various tools for identifying in selenium online training the objects  On different browsers like chrome, firefox,.

• Fire Finder
• Firebug
• XPath Checker 
• IE Developer Toolbar

If we are using online Selenium IDE there are various ways to identifying the  Objects. By default learn Selenium identify the object using Name or ID The order of identifying the object in Selenium IDE online training is following

1. Nam
2. ID
3. CSS
4. XPath Absolute
5. XPath Relative
6. XPath Attributes

Selenium online training in Hyderabad:

Kosmik Technologies provides Selenium online training in Hyderabad, we provide  Learn selenium online classes. We have expert faculty provide for  Selenium online training in Hyderabad. It is the nice place to learn selenium and  We provide certification for particular course.

Introduction to Automation Framework

 

Automation framework Selenium online Training in Hyderabad:

We move over in the Selenium series, we should think our focus towards Automation Framework creates in the next few upcoming frameworks. We would Also light on various features of an Automation framework, types of  Automation frameworks, advantages of using the framework and the basic components That form an Automation framework.

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What is Framework? And learn selenium online training:

Framework is  considered to be set of rules, standards protocols And guidelines that can  follow as whole so on leverage  The benefits of the support provided by the Framework, We learn selenium then it also provides support for framework

Example:

We often use elevators. There are few guidelines those  entered within  The elevator to  followed and taken care off so about leverage the most  Benefit and prolonged service from the system

Test Automation Framework:

Test Automation Framework is scaffolding that is laid to provide an execution Environment for the automation test scripts, the framework provides the user With various benefits that help them to develop, execute and report the automation  Test scripts. It is more like a system that has created  To automate our tests

In simple language, we can say that framework is constructive blend of various Guidelines, practices, concepts, processes, coding standards, modularity, Project hierarchies, reporting mechanism, test data injections etc. to pillar Automation testing 

The advantages can be in different forms like ease of scripting, modularity,

Scalability, process definition, understandability, reusability cost, maintenance etc.
Thus, to be able to grab these benefits, developers  advised using one or more
Of the Test Automation Framework

The advantage of Test Automation framework:

1. Greatest coverage

2. Reusability of code

3. Minimal manual intervention

4. Recovery scenario

5. Easy Reporting

6. Low-cost maintenance

Types of Test Automation Framework:

We have basic idea of what is an Automation Framework, in this section, we would give
Introduction you with the different types of Test Automation Frameworks those are available
In the marketplace, There is the different range of Automation Frameworks available. These frameworks may vary  From each other based on their support to various key factors to doing automation like  Reusability, ease of maintenance

Let us discuss the few most used Test Automation Frameworks:

1. Behavior Driven Development Framework

2. Data Driven Testing Framework

3. Library Architecture Testing Framework

4. Hybrid Testing Framework

5. Keyword Driven Testing Framework

6. Module Based Testing Framework

Data Flow Trnsformation

 

Data Flow Transformation and MSBI online Training in Hyderabad:

Data Transformation defined as core component in the Data flow of package In SSIS, It is part of the data flow to which we apply our business logic To change and manipulate the input data into the required format before Loading

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Different types of data Transformations available in SSIS.

1. TOTAL: The transformation applies total functions to Copies and column values the results of the                     transformation Output, besides total functions, the transformation provides GROUP  BY                  clause, which you can use to specify groups to add  Across, The Transformation supports                  following operations, AVERAGE, LARGEST, SMALLEST, COUNT, SUM, COUNT                      DISTINCT, GROUP BY  An example of Total Transformation:


2. AUDIT: Task-level Metadata and Adds Package such as Package Name, Execution  Instance,                            Machine Name, Package ID, etc

3. UNPIVOT: Used for demoralizing the data structure by converts columns into rows  In case of                            building Data Warehouses

4. COPY COLUMN: Add copy of column to the output, we can later transform the  Copy keeping the                                 original for auditing

5. CHARACTER MAP: Character Map Transformation is very useful, used to convert data. When it                                      comes to string formatting in SSIS  Upper case, lower case

6. EXPORT COLUMN: Used to export an Image specific column from the database  To flat file

7. DATA CONVERSION: Converts columns data types from one to another type. It stands for                                                  Explicit Column Conversion
.
8. DERIVED COLUMN: Create new column from given expressions.

9. FUZZY LOOKUP: Used for Pattern Matching and Ranking based on fuzzy logic.

10. CONDITIONAL SPLIT: used to split the input source data based on condition.

11. DATA MINING QUERY:  It Used to perform data mining query over   analysis  

                                             Services and manage Predictions Graphs and Controls.

12. FUZZY GROUPING: Groups the rows in the dataset that contain similar values.

13. IMPORT COLUMN: Reads image specific column from the database onto a flat file.

14. LOOKUP Performs the lookup of a given reference object set to a data  Source, it used to find exact matches.

15. MERGE: Merges two sorted data sets of same column structure into a single output.

16. MERGE JOIN: Merges two sorted datasets into a single dataset using a join.

17. MULTICAST, it used to create or distribute exact copies of the source dataset  To one or more                                 destination datasets

18. ROW COUNT: Stores the resulting row count from the data flow or transformation  Into different rows.

19.  ROW SAMPLING: Captures sample data by using row count of the rows in Dataflow specified by rows or percentage.

20. UNION ALL: Merge many datasets into a single dataset.

21. PIVOT: Used for Normalization of data sources to reduce by Converting rows into columns


Different Types of data Transformation with examples:


Row Transformation: Each value manipulated. In Run transformation, The buffers can reuse for other                                 purposes like following OLEDB Data Destinations, OLEDB Data source Other                                 blocking transformations within the package, Other Row transformation within                                 the package

Examples of Row Transformations: Audit, Copy Column, Character Map


2. Blocking Transformation:

These can use the buffer space allocated for available Row transformation and get new buffer space allocated only for Transformation

Examples: Merge, Multicast, Export, Column, Lookup, Import, Conditional Split

3. Blocking Transformation:

It will make use of reserve buffer and does not share buffer space from  Other transformation.


Examples: Total, Sort, Cache Transformation

Why we should choose for Selenium Automated Testing

 Selenium Automated Testing: 

Why you should choose for

 Your business website or web application developed, it is time to go for Testing to check whether the site works well on various devices having Various screen sizes or not. This task can take more time if there is no Access to more tools, Stable manual testing phase, every business organization Plans to go for automated tests so to save the costs that involved in Manual testing once the application reaches. Since this is an important factor  For a project development, organizations are looking for open source automation Tools instead of making investments in costly commercial tools Open source testing tools are available for different types of testing like the  Regression, UAT, functional, performance act..... These open source tools have Developed a lot and so it is time to think of the best automation tool that decides  That your website functions well on devices.




Selenium Automated Testing online training in Hyderabad:

 Kosmik Technologies provides selenium online training in Hyderabad, along with other Online selenium training, we provide best faculty and certification, it is nice  A place to learn selenium. The 


open source advantage of learning selenium automated testing tool:

Selenium testing tool is open source software and this permits the users to  Change, extend, and share the code is available. It is used for programmers to  Save a lot of effort and time and thereby develop the productivity. They can Also, use makes to order functions for better readability and manageability of  The codes

Platform portability:

Automated testing is the repetitive process and even a small modification that Is made in the code needs to tested to decide that the software is offering  The desired results and functionalities, Performing tests  Involves a lot of time and is, of course, a costly process. The Selenium automation The testing tool is convenient and it runs on browsers and dual platforms. This allows the selenium testing companies with the easy to write codes without  Having platform to run




Remote control:

The remote control feature of Selenium testing permits the testers to create And test the infrastructure that spread across different locations, including  The cloud so on drive the scripts on large set  of browsers


Many language support:

An application may be written in different languages and this is a challenge that is faced By automated testers. They have to gather the automation tools with the developing  Environment for CI, But with Selenium testing online training service bindings for  Groovy, Net, Python, Perl, Java, it is easy to integrate with the developing environment

Flexibility:

Software programmers usually prefer to keep the testing within the program. By using  Selenium software, the tests can regroup according to the needs. This allows quick  Changes to the codes and reduces duplication and also develop maintainability. This  A flexibility of Selenium helps the programmers to manage the tests.

Different Flavours in Selenium

Different Flavors of Selenium and Selenium online Training in Hyderabad: 


Selenium is free automated testing suite for web applications across various
Platforms and browsers, it is like HP Quick Test Pro, only that Selenium
Focuses on automating web based applications. Using Selenium tool testing done.


Kosmik Technology provides Selenium online training in Hyderabad, Students interested
In learning MSBI classes in online, we provide digital classrooms and certification 
Along with Expert faculty also provided.

We have different flavors in selenium, given below

1. Selenium IDE
2. Selenium RC
3. Selenium Grid
4. Selenium Web Driver or Selenium 2.0





1) SELENIUM IDE and learn selenium online:


1. Learn Selenium IDE has recording feature, which will keep account of user actions as they
   Are performed and store them as a script to play back.

2. Although Selenium IDE is Firefox add on, tests created in Selenium Ide can also run against
   another browser  by using Selenium RC and identify the name of the test suite on the
   Command line

3. Online Selenium IDE is the Integrated Development Environment for building Selenium test cases.

4. It also has context menu integrated with the Firefox browser, which allows the user
   To pick from list of verifications and assertions for the selected location

5. Selenium IDE also offers full editing of test cases for more precision and control.

6. Selenium is  Firefox add-on and provides an easy to use interface for  running  and  developing
   Individual test cases


SELENIUM RC online training: 


1. Selenium RC provides library and API for each of its supported languages
   Python, Ruby, Perl, PHP, HTML, and Java

2. Learning Selenium RC permits the test automation developer to use programming language
   For more extensibility and importance in developing test

3. If the application under test returns result set and if the automated test program
   Needs to run tests on each element in the result set


SELENIUM GRID online Training:

1. When tests sent to the hub they connected to available Selenium RC, which will launch
   The browser and run the test.

2. Dual instances of Selenium RC are running on different browser configurations, with it.

3. Selenium Grid permits the Selenium RC solution to scale for test suites that must be
   Run in dual environments.


SELENIUM WEB DRIVER or SELENIUM 2.0:

1. Selenium 2.0 has many new exciting features and improvements over Selenium 1.0

2. The primary feature is the integration of the Web Driver API. This address
   Number of advantages along with providing simpler and an alternative, Programming interface

3. The goal is to develop an object-oriented API, it provides more support For more number
   of browsers along with improved support for modern advanced  Web app testing problems




  

Introduction to Data Flow

 

Introduction to Data flow & MSBI online Training in Hyderabad: 

 Data flow diagram is graphical representation of the flow of Data through the modeling, information system its process aspects, Data flow diagram is often used as primary step to create an Overview of the system without going into great detail

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Data flow diagram shows what type of information will be input to output  From the system, how the data will advance through the system, and  Where the data will be stored, it does not show information about  The timing of process about whether the process will operate in sequence, Unlike flowchart which also shows this information.


Data Flow diagram example & Learn MSBI in Online:

Data Flow Diagram provides visual representation of the flow of  Information within system
Creating Data Flow Diagram, you should Share the information provided by someone and delivered to someone who  Takes part in system processes. To complete the processes the information is Needed and this information is too accessed and stored. Data Flow Diagram Is used in software engineering, Data Flow is also used in  Modeling information systems, it can also use in modeling mobile applications.




Types of data Sources:

 1. Microsoft SQL Server
 2. Microsoft Azure SQL Database
 3. Microsoft SharePoint List
 4. Hyperion Essbase
 5. Oracle
 6. SAP BW
 7. Microsoft SQL Server Analysis Services for DMX, MDX, tabular models and Microsoft  Power          Pivot Teradata


 Data Flow Diagrams Notations:

There are two various types of notations for data flow diagrams defining different  Visual representations for data stores, data flow, process external entities. Coad and Yourdon type data flow diagrams are usually used for design and system analysis, While Gane and Sarson type DFDs are more common for visualizing information systems. The variation between the two ways of drawing data flow diagrams of processes  In the Coad way and Yourdon processes are shown as circles, while in the Sarson and  Gane diagram the processes are squares with rounded corners.


 Advantages of data flow diagram:


 1. It used as the part of system documentation file

 2. It aids in describing the boundaries of the system

 3. It supports the logic behind the data flow within the system

 4. Straightforward graphical technique which is easy to recognize

 5. DFDs can provide a detailed representation of system components

 6. DFDs are easier to understand by technical and nontechnical audiences

 7. It is beneficial for communicating existing system knowledge to the users




Disadvantages of data flow diagram:

1. Physical considerations left out

2. It make the programmers little confusing about the system

Apache Oozie

Oozie Hadoop online training in Hyderabad:

Apache Oozie is a tool in which all programs can pipeline In the desired order to work in Hadoop distributed environment. Oozie also provides the mechanism to run the job. This Apache Oozie Explains the scheduler system to manage and run Hadoop jobs Called Apache Oozie, It connected with Hadoop stack Supporting different Hadoop jobs like Sqoop, Hive, and Pig.

This Apache Oozie looks at the fundamentals of Apache Oozie like Coordinator, workflow, property file and bundle along with some Examples, by the end of this, you will have to understand On running and scheduling Oozie jobs on Hadoop cluster in Distributed environment.The Apache Oozie has been prepared for professionals working With Big Data Analytics and want to understand about scheduling Hadoop jobs using Apache Oozie.


What is Apache Oozie? Hadoop online training in Hyderabad:

Apache Oozie is scheduler system to manage and run Hadoop jobs In distributed environment, it permits to combine many complexes Jobs to be run in sequential order to achieve the bigger task, within Sequence of the task, two or more jobs can also program to run Parallel. Oozie is tightly integrated with Hadoop stack supporting different Hadoop jobs like Sqoop, Pig, Hive, This is main advantage for Apache Oozie learning Hadoop then ooze connect with it. Kosmik Technology provides Hadoop online classes in Hyderabad, as Well as they can provide expert faculty for Hadoop training in Hyderabad.

There are three common jobs for Apache Oozie...

1. Oozie Workflow Jobs: These represented as Directed Acyclic Graphs
To specify sequence of actions to executed

2. Oozie Coordinator Jobs: These consist of workflow jobs triggered by
Data and time availability

3. Oozie Bundle: These can be referred to package of workflow jobs
And many coordinators

Oozie Editors:

Before we going into Oozie let we have quick look at the available editors for Oozie.Most of the time, you would not need an editor and will write the workflows using any Popular text editors as we will be doing in Apache Oozie. But as a beginner, it makes to create workflow by the drag and drop method using the Editor and then see how the workflow gets generated, the most popular among Oozie
Editors are Hue.

Benefits of Apache Oozie:

Apache Oozie used by Hadoop system administrators to run complex log

Analysis on HDFS, Hadoop Developers use Oozie for performing ETL operations

On data in order and saving the output in specified format

In HDFS

Inroduction to Hcatalog

Introduction to Hcatalog:

HCatalog is a decision-making tool for Hadoop that exposes the Tabular data of Hive meta store to another Hadoop application, It allows users with different data processing tools to Write data onto a grid. HCatalog users do not have to worry About in what format data stored. The professionals hopeful To make a career in Big Data Analytics use learning Hadoop Framework, Professionals and ETL developers who are into analytics in general May as well use Hcatalog in Hadoop online training. Before proceeding with this tutorial, you need a basic knowledge Of Database concepts of SQL, Hadoop Filesystem, Core Java


Hcatalog with Hadoop online training in Hyderabad:

 Kosmik Technologies provides Hadoop online training in Hyderabad. Learning Hadoop we can analyze the Hcatalog because every Thing linked with Hadoop training. Kosmik Technologies Provides Online Hcatalog classes, with expert faculty HCatalog, works like key component of Hive and it enables the Users to store their data in any structure and any format


Why HCatalog?:

It is right tool for right Job

 Hadoop contains various tools for data processing such as Map Reduce, Pig, and Hive. Even though these tools do not must metadata, sharing a metadata store also Enables users across tools to share data, a workflow where data is normalized And loaded using Pig or Map Reduce and then analyzed with Hive is very common. If all These tools share one meta store, and then the users of each tool have immediate access To data created with another tool.


 Integrate with Hadoop:

 Hadoop as storage and processing environment opens up a lot of opportunity for The enterprise, but to fuel implementation, it must work with existing tools. Hadoop should serve as input into your analytics integrate or platform with your Operational web applications and data stores, the organization should enjoy the value of  Hadoop without having learned Hadoop, Enterprise data management systems use  HCatalog to more integrate with the Hadoop platform

 HCatalog Architecture:

HCatalog supports writing and reading files in any format for which  SerDe (serializer-deserializer) can be written. By default, HCatalog supports JSON, RCFile, RCFil, CSV, Sequence File, and ORC file formats. Use a custom format, you Must provide the  Output Format, Input Format, and SerDe
HCatalog built on top of the Hive incorporates Hive DDL and meta store. HCatalog Provides write and read interfaces for Map Reduce and Pig uses Hive command line  Interface for issuing metadata exploration commands And data definition.

 Applications of Hcatalog:


1. HCatalog supports reading and writing files in any format for which a Hive SerDe (serializer
    deserializer) can write. By default, HCatalog Supports CSV, RCFile, JSON, and Sequence File           formats

2. HCatalog is  built on top of the Hive incorporates and meta store components from
    The Hive DDL, HCatalog provides read and write interfaces for Map Reduce and Pig.

3. It also presents REST interface to permit external tools to access  Hive DDL (Data Definition               Language) operations such as describe table and create  Table

  

Architecture Of Apache Flume

The architecture of Apache Flume:


Flume is robust, flexible, standard, simple, and extensible tool For data breakdown from various data producers into Hadoop, in The Apache flume, we will use a simple example to explain the Basics of Apache Flume.The professionals who would like to learn The process of transferring streaming and log data from various Web servers to HBase using Apache Flume, to make the most of this Apache flume, you should have good understanding of the basics Of HDFS and Hadoop commands


What is Flume and Hadoop online training in Hyderabad?


Apache Flume is tool breakdown mechanism for collecting transporting And aggregating large amounts of streaming data such as events, Log files from different sources to the centralized data store. Flume is distributed, reliable, and configurable tool, It is designed To copy streaming data from various web servers to HDFS.Apache flume is easy when learning Hadoop. Kosmik Technologies
Provides Hadoop online training in Hyderabad, experienced faculty In Hadoop classes, easy to learn Hadoop in different ways

Apache Flume Configuration:

After installing Flume, we have to configure it using the configuration The file which is Java property file having key value pairs. We need to Pass values to the keys in the file.

In the Flume configuration file, we need to Name the components of the Apache flume.

> Describe or configure the source.

> Describe or configure the sink.

> Describe or configure the channel.

> Bind the source and the sink to the channel.


Features of Flume:

Some of the features of Flume are given below

1. Flume can be scaled.

2. Using Flume, we can get the data from many servers immediately into Hadoop.

3. Flume log data from many web servers into a centralized store.

4. Flume supports the large set of sources and destinations types.

5. Flume supports multi-hop flows, contextual routing, fan in & fan outflows etc.

6. Flume is used to import big volumes of event data produced by social networking

Sites like Twitter and Facebook, Along with the log files.

Applications of Flume:

Assume an e-commerce web application wants to analyze the customer behavior from Particular region so they would need to move the available log data into Hadoop for analysis

Flume is used to move the log data generated by application servers into HDFS at Higher speed

Advantages of Flume:

1. Here are the advantages of using Flume

2. Flume provides the feature of contextual routing.

3. Using Apache Flume we can store the data into any of the centralized stores.

4. Flume is fault tolerant, reliable, manageable, scalable, and customizable.

5. The transactions in Flume channel based where two transactions maintained for each message.