One question always comes to our mind that, “What is the difference between Blockchain and Database ?” or “Is Blockchain a database?” Well, yes Blockchain is a decentralized ledger (database) containing records of transactions.
While storing data in the blockchain you should always remember that there is no ‘D’ in ‘CRUD’ operations.
Data stored in the blockchain is not controlled by any central entity, because of which we can get higher security and reliability.
Data stored is not limited up to the transaction details only, we can see that a huge data will be stored on its nodes in future including texts, images, videos, infographics and so on.
There are certainly other alternatives which we can opt to store data for our systems which we will discuss one by one.
It relies on a Distributed Hash Table and the BitTorrent protocol.
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Wikipedia says The Domain Name System (DNS) is a hierarchical decentralized naming system for computers, services, or other resources connected to the Internet or a private network.
The Domain Name System (DNS) is the backbone of the internet which allow users to remember the domain name such as (lcn.com) rather than numeric IP address (such as 94.126.40.226 ).
The right-most label conveys the top-level domain; for example, you can buy a domain name like codementor.io belongs to the top-level domain io.
• Most TLDs with three or more characters are referred to as "generic" TLDs, or "gTLDs".
The primary group of generic top-level domains consists of the com, info, net, and org domains.
Head over to check the complete list of all today existing ccTLDs here
Hash table is a data structure that stores data in key-value pairs. It is also named as a dictionary or associative array. It stores data in a way that enables lookup and insertion in constant O(1) time. These properties of a hash make it one of the most useful data structures in a programmer's toolbox.
Implementation of the hash quite the same in Ruby, Java, Python. We just need to understand Pros and Cons of using it.
Learn how it works.
Are you find difficulties to get more youtube video views?
Well, high-quality video is the best solution and some other tips you could try like Google +.
Over 111 million users are there and this community is getting bigger day by day.
First, you need to find active people there.
For this, you need to go to the 'Discover' tab.
Then go to the activity tab.
In this article, we will mention everything you need to know about Google Pixel 5; launch-date, pricing, specifications, looks, and more.Launch-DateGoogle will launch its next hardware event on September 30, and you can learn about Google’s new Pixel phones by participating in their live coverage.
If we see the history of Google’s Pixel pre-order pattern, the customers were allowed to pre-order the phones on its announcement day.
Pixel phones are never cheap, but you get a lot of great features in it.
The historical prices of Pixel phones are as follows:Pixel: US$649Pixel 2: US$649Pixel 3: US$799Pixel 4: US$799The price of Pixel 5 is not out yet, but as per the history of Pixel’s prices, we can expect it to be between the US$799 to US$899.Specifications of Google Pixel 5Performance = Snapdragon 765GStorage = 64 GBBattery = 3500 mAhDisplay = 6.1″ (15.49 cm)RAM = 6 GBFront Camera =13 MPRear Camera = 16 MP + 16 MPOther Sensors = Light sensor, Proximity sensor, Accelerometer, GyroscopeFingerprint Sensor =NoQuick Charging = YesOperating System = Android v10 (Q)Audio Jack = USB Type-CLoudspeaker = YesGraphics = Adreno 620Processor = Octa-core (2.4 GHz, Single core, Kryo 475 + 2 GHz, Single core, Kryo 475 + 1.8 GHz, Hexa Core, Kryo 475)Architecture = 64 bitRuggedness = DustproofWaterproof = Yes IP68Display Type = OLEDAspect Ratio = 19:9Bezel-less Display = YesPixel Density = 414 ppiScreen Protection = Corning Gorilla Glass v5Screen Resolution = 1080 x 2280 pixelsWhat will Google Pixel 5 look like?The real-world photos and the renders of the upcoming Pixel 5 have leaked showing off the Pixel 5 in two colors; black and green.
The design of Pixel 5 looks very similar to the forthcoming Pixel 4a, featuring a left-mounted cutout and a square camera housing on the back.
Some claim that it will be an all-aluminum design while the people who had hands-on experience claimed that it felt more like plastic.
Rainbow Training Institute provides Big data Hadoop online training and Big Data Certification course with well-experienced trainers having good Hadoop knowledge on both Online and Classroom training. we handle all the topics related to Big data Hadoop and certification training.
Rainbow Training Institute is offering best Big data Hadoop online training and Big Data Certification with real-time Hadoop expert trainers having experience on both Online and Classroom training. we cover big data Hadoop course with functionally and technically.
Hadoop is an open source distributed processing framework that manages data processing and storage for big data applications running in clustered systems and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs.
Why Big Data and Hadoop?
Hadoop is an open source as a data management platform, is accessible to anyone and everyone in who wish to use it. Using the core concepts of Hadoop (MapReduce, HDFS, YARN, and Hadoop Common, many young organizations alongside the tech giants are offering Hadoop services.
Industries are always in search of methods to improve their business using the data available. This calls for a constant requirement for professionals with technical hands-on expertise with Big Data analysis. This is where Big Data Hadoop training becomes an essential step to reach industry standards. The Hadoop market is forecast to grow at a compound annual growth rate.
Big Data and Hadoop can Learn :
Senior IT professionals
Testing and Mainframe professionals
Data Management Professionals
Software Developers and Architects
Analytics Professionals
Business Intelligence Professionals
Graduates looking to build a career in Big Data Analytics
Big Data Hadoop Online Training Course Content :
1. Introduction to Big Data and Hadoop
. Importance of Data and Data Analysis
. What is Big Data?
. Big Data and its Types
. Big Data Users and Scenarios
. Structured Data v/s Unstructured Data
. Challenges of Big Data
. How to Overcome Challenges
. Divide and Conquer Philosophy
2. Hadoop and its File System :
. History of Hadoop
. Hadoop Ecosystem
. Hadoop Animal Planet
. What is Hadoop?
. Key Distinctions of Hadoop
. Hadoop Components
. HDFS
. Map Reduce
. Why Distributed File Systems
. The Designs of HDFS
. Hadoop Distributed File Systems
. What is HDFS bLOCK
. Why HDFS Block is So Larger in HDFS
. Name Node
. DataNode
. Secondary NameNode
. All Files in HDFS
. Hadoop Components and Architecture
. JobTracker and TaskTracker
. Understanding Storages Components ( NameNode,DataNode,Secondary NameNode )
. Understanding Processing Components ( JobTracker and TaskTracker )
. How Secondary Namenode Overcomes the Failure of Primary Namenode
. Anatomy of a File Read
. Anatomy of a File Write
Understanding Hadoop Cluster :
. Walkthrough of CDH CM Setup
. Hadoop Cluster Modes
. Standard alone Modes
. pseudo - Distributed mode
. Hadoop Configuration Files
. Core-Site xml
. Yarn -Site xml
. Map red -Site xml
. HDFS -Site xml
. Understanding of Cluster Configuration
Big Data and Hadoop Course Content :
Hadoop Eco-Systems :
? Introduction to Pig
? Introduction to Hive
? Introduction to HBase
? Other ecosystems Map Hadoop Developer
? Moving the Data into Hadoop
? Moving The Data out from Hadoop
? Reading and Writing the files in HDFS using java program
? The Hadoop Java API for MapReduce
o Mapper Class
o Reducer Class
o Driver Class
? Writing Basic MapReduce Program In Java
? Understanding the MapReduce Internal Components
? HBase MapReduce Program
? Hive Overview
? Working with Hive
? Pig Overview
? Working with Pig
? Sqoop Overview
? Moving the Data from RDBMS to Hadoop
? Moving the Data from RDBMS to HBase
? Moving the Data from RDBMS to Hive
? Flume Overview
? Moving The Data from Web server Into Hadoop
? Real Time Example in Hadoop
? Apache Log viewer Analysis
? Market Basket Algorithm
Faculty Experience on Big Data and Hadoop online training in Hyderabad :
1. Real-time Expert trainers Having good Project Knowledge on Hadoop Course in our institute.
2. Provide both Online Classes and also classroom training with Live.
3.provide free Demo Youtube training Classes for the Students and Professionals.
4.we here provide online classes in morning, evening and weekend Batches.
