Tag Archives: Hadoop

Apache Pig and How to Process Data Using Apache Pig

Pig is a high-level scripting language that is used in processing data by the users of Apache Hadoop. Therefore, even without learning other programming languages like Java, the data workers are still able to achieve data processing. If you are familiar with scripting languages and SQL, the task is more appealing since Pig Latin is […]

What is Hadoop?

The word “cloud” has become very active to the latest emerging technologies that were delivered in the business world. And the most common familiar technology that is used for Big Data is Hadoop. Hadoop is a free open-source Java-based programming application tool that supports the handling of a large data set through the use of […]

What is MongoDB?

In today’s digital generation, among the most sought after software database systems was the MongoDB. It is very useful for the growth of your business and other file storage needs. Well, what is MongoDB? You can find the answer to this question after you have read this article up to the end. If you are […]

Hadoop Ecosystem

Talking about the major ecosystem of Hadoop the first name which comes to mind is MapReduce as this is the base on which complete Hadoop framework relies. Also the processing on data can be done using MapReduce algorithm which contributes a big name for processing of data in Hadoop. For writing this MapReduce algorithm, two […]

Apache-Hadoop-Certification

Apache Hadoop Certifications

Why go for Hadoop Certification? Companies are struggling to hire Hadoop talent. Those industries or companies want assurance from the Hadoop candidates they hire for handling their petabytes of data. For this assurance, the certification is a proof of this capability and making you more responsible and a reliable person for their data. Benefits of […]

Data-Management

What’s Next for Apache Hadoop Data Management and Governance

Hadoop – the data processing engine based on MapReduce – is being superceded by new processing engines: Apache Tez, Apache Storm, Apache Spark and others. YARN makes any data processing future possible. But Hadoop the platform – thanks to YARN as its architectural center – is the future for data management, with a selection of […]

The Importance of Apache Drill to the Big Data Ecosystem

You might be wondering what bearing a history lesson may have on a technology project such as Apache Drill. In order to truly appreciate Apache Drill, it is important to understand the history of the projects in this space, as well as the design principles and the goals of its implementation. The lessons that have been […]

Drill into Your Big Data Today with Apache Drill

Big data techniques are becoming mainstream in an increasing number of businesses, but how do people get self-service, interactive access to their big data? And how do they do this without having to train their SQL-literate employees to be advanced developers? One solution is to take advantage of the rapidly maturing open source, open community […]

Comparison of Hadoop with SQL and Oracle database

Basically the difference is that Hadoop is not a database at all. Hadoop is basically a distributed file system (HDFS) – Hadoop lets you store a large amount of file data on a cloud machines, handling data redundancy etc. Comparing SQL databases and Hadoop: Hadoop is a framework for processing data, what makes it better […]

What are the pre-requisites for big data hadoop?

  Working directly with Java APIs can be tedious and error prone. It also restricts usage of Hadoop to Java programmers. Hadoop offers two solutions for making Hadoop programming easier.Pig is a programming language that simplifies the common tasks of working with Hadoop: loading data, expressing transformations on the data, and storing the final results. […]

Who can become a hadoop professional?

System administrators can learn some Java skills as well as cloud services management skills to start working with Hadoop installation and operations. DBAs and ETL data architects can learn Apache Pig and related technologies to develop, operate, and optimize the massive data flows going into the Hadoop system. BI analysts and data analysts can learn SQL and Hive […]