Hadoop course structor and eco systems by RStrainings
Now we are living in Big data world. Today, the amount of unstructured data getting added to warehouse from different sources got increased exponentially. So the challenge is how to get the business value or customer insights out of this huge raw data. One of the most popular technology that is aiming to solve this big data related analytics is HADOOP. Hadoop is an open-source framework,RStrainings is best training center in hyderabad for hadoop training which is written in Java on Linux Operating System, which is intended to resolve the Big Data related to issues in terms of Storage wise and Processing wise. Hadoop is developed on a few important ideas and It is very rich in its features. First, It uses commodity machines to store its raw data.Second,code-locality. Moving the code where data resides over the network from one machine to another machine.This process is more efficient and faster processing methodology to handle very large datasets.Third, fault tolerance by having more copies within the cluster for high data availability and handles the system failure, Rstrainings providing Hadooop training in classroom and online Hadoop framework uses mainly its two core components to store and process the Big Data[large] datasets. One is HDFS, Hadoop distributed File System, and another one is MapReduce. Same as Linux, the HDFS will split/divide/partition the entire data into chunks of data(each chunk will be called as Block size in Hadoop) and distribute them across multiple servers within Hadoop Cluster. MapReduce is a programming language and which helps to process the large datasets stored in HDFS.RStrainings is providing every session practically and understandble examples.. The Hadoop cluster consists of two types of nodes[Individual machines]: Master Node and WorkerNode. Always MasterNodes manages something within cluster and Hadoop Cluster can have more than one MasterNode. NameNode is MasterNode which manages the entire MetaData of its cluster. So it is counter-piece/heart of Hadoop cluster. A WorkerNode(can be called Data Node) stores the actual file in the form of Blocks.Whenever client wants to read or write into HDFS, first it contacts a NameNode. So If NameNode crashes/doesn't work then the entire hadoop cluster becomes inaccessible.RStrainings providing training world wide like usa, india , Singpore,Malasia, UK, CANADA etc.. Different Hadoop Eco-Components:- PIG:- Pig is a base platform,developed by yahoo in 2006,high level data-flow language, which provides alternative abstraction on top of MapReduce program. It uses its own scripting language called Pig Latin. The Pig framework translate the Pig Latin scripts into series of MapReduce programs. RStrainings was located in Madhapur pin code is 500081 Hive:-Hive is data warehouse infrastructure software. It is both, a storage component where It stores the underlined data in HDFS and also a processing Component where it can analyze the Big Data stored in HDFS. Hive provides a SQL-like query language called HQL(Hive Query Language(HiveQL)). HBASE:-Using RDBMS doesn't scale well and its is hard to shard the data. Hbase is another hadoop distributed column oriented ecosystem. It is also a database which built on top of HDFS. HBASE does not use the MapReduce programming to process the Big data. Unlike MapReduce program,Hbase can access the data randomly where online meets low-latency.