Android Operating System (OS) has been created by Google for its use on smartphones and tablets. Most of the manufacturers are now offering PCs with dual OS. Both the Android and Windows can get installed on the same PC. You can run Android apps and Android OS even on your current PC.
Let us discuss different ways of running Android OS on PC:
BlueStacks is the best way to run Android OS on PC.It offers an innovative software designed to run Android OS apps and you need not have to replace the entire Windows system. It introduces a gripping breakthrough and runs Android apps on your Windows desktop. It integrates apps seamlessly on PC’s makes it possible to enjoy applications in larger displays of PC’s. Like any other Windows application, Android apps are shown in a form of a desktop gadget. The users can enjoy their Android games, news feeds, social network etc.. BlueStacks supports easy installation of Android apps from Google Play. It offers a good performance in comparison to YouWave and Windroy. Continue reading
NoSQL supports key-value stores, big table, document store and graphic databases. It offers high performance, rich query language, easy scalability and speed. NoSQL databases are unique and they are independent from Structured Query Language (SQL). SQL is generally used by relational databases as the domain-specific language. Let us discuss Apache Cassandra NoSQL database and its applications in Industry.
Apache Cassandra database offers scalability and high availability. It has proven fault-tolerance on commodity hardware and mission-critical data. Most companies have realized benefits running their applications on Apache Cassandra. The database is capable of handling all the big data, coupled with high performance, security, and easy management. Some the companies using Cassandra as their data store are listed below:
1. Adgear: Adgear use Cassandra as the data store. They collect data about the users which help them to deliver better quality and targeted ads. They manage distinct data centers consisting of Continue reading
Data mining is the process of analysing data collected from different sources into useful information. It can be used to increase business profits and keep a track on the company’s performance. Data mining software helps users to analyse data from different angles. The data is categorized, summarized and correlated with large relational databases. The main aim is to get a view of the company’s performance. With the help of data mining, business owners can get a broad view on various trends. It can show the areas where there is more profit and where there is loss. It can reveal the ways how to control the unnecessary expenditure and increase the total income. Continue reading
A NoSQL database provides an effective mechanism for storage and data retrieval. These databases excel both in terms of speed and volume. Moreover, it is increasingly been considered a viable alternative to relational databases. While working with a huge quantity of data, NoSQL is very useful. Let us discuss some of the top NoSQL databases and their performance in data management systems:
Apache Cassandra has been primarily designed to handle huge amounts of data spread out across commodity servers. It was developed by Facebook in 2008 as an open source distributed database management system. It helped Facebook to power up their inbox search feature. It offers the mixture of a column-oriented database and the columns are grouped into families. It provides a highly available service with its massive amount of consistency and replication. Apache Cassandra is preferred by companies as a back-end database. The most amazing features include BigTable modeling and the Gossip protocol. Some of the strong points favouring Apache Cassandra are highly available with no single point of failure, NoSQL column family implementation, flexible scheme, SQL like query language, support search through secondary indexes and support for replication. Apache Cassandra is a perfect solution and it provides scalability & performance needed in most applications. Continue reading
Big Data refers to the large datasets that may become difficult to work with. In some cases, the size has been known to rise to 50 TB or multiple petabytes. The technology has enabled us to handle big data in an intelligent way. We can analyse and interpret the data for its use in different industries. The only risk is that we don’t focus on the quality of data analysed. It can have many uses such as basis of product sentiment analysis, thereby leading to product improvements. It has been estimated that 90% of big data in the world has been collected within the last 2-3 years.
Modern social media platforms
Big data forms the basis of most popular social media platform i.e. Facebook. It collects more than 500 TB of data every day. This data comprises of likes, status updates, photo uploads and all related interactions. Similar is the case with blogging site Twitter which collects more than 10 TB of data per day. Continue reading
This is a good course offered by Google for data professionals and data enthusiasts. The course is self paced and divided into lessons and activities. Activities are small quiz which will help the learner to practice theory. At the end of the course there will be final project, upon successful completion of which certificate is also provided.
The course revolves around using Google Fusion Tables, which is free online software. The concepts taught is this free course are useful in general data process of data preparation, analysis and withdrawing conclusion from analysis. The course will run from March 18th to April 4th, 2014.
Making sense of Data