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Bigdata and Hadoop

Know More About Data Science And Big Data Analytics

‘Data has become important in our society today’ is an understatement. The importance of data can be seen across multiple sectors with many companies and organizations dedicating time and energy trying to sort and understand this data. Data can be thought of as our past and in order for us to not repeat it, we

Bigdata and Hadoop

Top 10 Big Data Trends to Look Out For In 2017

2016 was an important year for big data and 2017 is expected to be bigger and better. There are so many different changes that we can already see happening when it comes to big data and many different trends are also emerging. Big data is simply a cluster of large information that can be sorted

Bigdata and Hadoop

Data Science Trends To Look Out For In 2017

Data grows at a rate of 2.5 billion gigabytes (GB) per day, and this number is constantly growing. Data has become an integral part of our lives, where everything runs on data. In the coming years, this number is expect to grow by four fold. The need for data science and big data is crucial,

Bigdata and Hadoop

10 Popular Open Source Big Data Tools

Data has become a powerful tool in today’s society, where it translates into direct knowledge and tons of money. Companies are paying through the nose to get their hands on data, so that they can modify their strategies, based on the wants and needs of their customers. But, it doesn’t stop there! Big Data is

Bigdata and Hadoop

Analytics of Things and it’s significance to IoT

The idea of the Internet of Things (IoT) is revolutionary and in the future it is expected to find its way into everyone’s lives. Everyone, sooner or later, is going to be impacted by the IoT. Different surveys or studies project a future with a huge number of interconnected devices. For example, the ABI Research

Bigdata and Hadoop

Learn How To Develop And Test Pig Scripts For Data Processing

In the first part of Pig tutorial we explained how Pig fits in the Hadoop ecosystem as tool for performing data extraction, transformation and loading (ETL). In that tutorial installation and configuration of Pig was demonstrated. We also reviewed some operations that can be performed on data. For a review of those concepts please refer

Bigdata and Hadoop

Learn How To Write Advanced Queries To Manipulate Data Using Hive

In previous Hive tutorials we have looked at installing and configuring Hive, data modeling and use of partitions to improve query response time. For a review of these concepts please refer to learn how to set up Hive, creating effective data models in Hive and use of partitioning tutorials. A good level of understanding of

Bigdata and Hadoop

Learn How To Use Partitioning In Hive To Improve Query Performance

In previous Hive tutorials we have have looked at Hive as the Hadoop project that offers data warehousing features. Installing and configuring Hive was demonstrated. Guidelines on best practices when creating data models were also discussed. If you are new to these concepts please refer to setting up Hive and creating effective data models in

Bigdata and Hadoop

Learn How To Use Hbase Shell To Create Tables, Query Data, Update And Delete Data

In previous Hbase tutorials we looked at how to install Hbase and develop suitable data models. In this tutorial we will build on those concepts to demonstrate how to perform create read update delete (CRUD) operations using the Hbase shell. If you have not installed Hbase please refer to Hbase base tutorial to learn how

Bigdata and Hadoop

Learn How To Simplify Management Of A Hadoop Cluster Using Ambari

Within the Hadoop ecosystem Apache Ambari was developed to provide a simple way of managing Hadoop clusters using a web based interface. Cluster management services that are possible using Ambari are provisioning clusters, management of clusters and their monitoring. To help in provisioning clusters an installation wizard to install Hadoop on a desired number of