Big Data and Hadoop are not the same as many of those think. Big Data and Hadoop are the trending things currently in the IT environment. More and more people are taking up these certifications to scale up to the latest trend and upgrading themselves with the latest technologies. Hadoop is the most in-demand Big data tool. It is open-source meaning it is free and changes in its software can be made according to our requirements and needs.

Apache is a freely available Web server that is distributed under an "open source" license. It runs on 67% of all webservers in the world. It is fast, reliable, and secure. It can be highly customized to meet the needs of many different environments by using extensions and modules. Most WordPress hosting providers use Apache as their web server software. However, WordPress can run on other web server software as well.

The Hadoop Distributed File System (HDFS) is a distributed file system designed to run on commodity hardware. It has many similarities with existing distributed file systems. However, the differences from other distributed file systems are significant. HDFS is highly fault-tolerant and is designed to be deployed on low-cost hardware. HDFS provides high throughput access to application data and is suitable for applications that have large data sets.

Oozie is the tool in which all sort of programs can be pipelined in a desired order to work in Hadoop’s distributed environment. Oozie also provides a mechanism to run the job at a given schedule. Oozie is a scheduler system to run and manage Hadoop jobs in a distributed environment. It allows to combine multiple complex jobs to be run in a sequential order to achieve a bigger task.

Scala is a modern multi-paradigm programming language which is a combination of object-oriented programming and functional programming. It is highly scalable which is why it is called Scala. The biggest strength of Scala is its flexibility in defining abstractions. One of the important components of the Scala language is Scala IDE which is Scala Integrated Development Environment and this is used to connect to the Eclipse Java tool. This way the Eclipse features can explore with the Scala IDE.

One of the biggest challenges with respect to Big Data is analyzing the data. There are multiple solutions available to analyze this data. The most popular one is Apache Hadoop. Spark is an open-source distributed general-purpose cluster-computing framework. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.

The Pig is a platform for managing large sets of data which consists of high-level programming to analyze the data. Pig also consists of the infrastructure to evaluate the programs. The advantages of Pig programming is that it can easily handle parallel processes for managing very large amounts of data. The programming on this platform is basically done using the textual language Pig Latin.

Hive is a data warehouse infrastructure tool to process structured data in Hadoop. It resides on top of Hadoop to summarize Big Data, and makes querying and analyzing easy. Hive is rigorously industry-wide used tool for Big Data Analytics and a great tool to start your Big Data Career with. In this Hive tutorial blog, we will be discussing about Apache Hive in depth. Apache Hive is a data warehousing tool in the Hadoop Ecosystem, which provides SQL like language for querying and analyzing Big Data.