In this progressing digitized world, the quantity of data generated is rising at an exponential rate. All the businesses have been facing challenges when it comes to managing as well as making sense of the huge data, also are looking for the best option to handle all the data meaningfully. identifying the secrets hidden within ‘Big Data’ is the key factor driving as well as developing future approach that might help businesses in gaining competitive edge.
Backup and recovery services are essential to the security of your company and customers’ data. Today, any application or system downtime can significantly impact productivity and revenues. As well as ensuring you get back online quickly and seamlessly, a backup solution can protect you from sensitive data loss and serious reputational damage.
Spiral offers a range of business continuity and disaster recovery solutions to ensure that in the event of a disaster or breach, you have the ability to get up and running quickly with minimal impact on your business.
This one is an open-source framework that permits for the distributed processing of huge data sets of an enterprise. It offers vast storage for all types of data, refined data processing power as well as extraordinary handling capability for virtually endless amplified tasks or jobs. Hadoop’s HDFS file system caters high-end access to application data.
Linear scalability along with verified fault-tolerance over commodity hardware or else cloud infrastructure build Apache Cassandra. This is one of the finest platforms for mission-critical data. Cassandra's cloning activity across several data centres that is the prime service. Cassandra is used by companies having large as well as heavy data sets including Twitter, Netflix, Reddit, OpenX, Cisco, CloudKick, Digg, Ooyala, and others. Cassandra enables overall Hadoop integration, in conjunction with Pig & Hive.
An organization can use this software when in need of random, real-time access for reading/writing to their Big Data. HBase is a distributed, open-source, versioned, column-orientate store designed after Google's Bigtable. Google's Bigtable is a distributed storage system used for the organized data via Chang et al. Alike Bigtable that leverages the distributed data storage offered through the Google File System, HBase has similar types of capabilities over Hadoop and HDFS.
Spark amongst the rapid and accustomed engine for sizable data processing. It provides high-level APIs within Scala, Java, Python & R. Also, offers a rich set of libraries inclusive of machine learning, stream processing and graphical analytics. To stay ahead along with gaining maximum business advantage, we offer processing & analysis services in order to support Big Data applications utilizing opportunities like streaming analytics, machine learning and others.