Friday, 9 December 2016

7 Top Big Data Tools for Enterprise Developers


Big Data is now a critical technology utilized for leveraging data to enable better decision-making. Developers today have a wide variety of choice in picking a tool for their needs – open source or proprietary.

A through assessment of the existing data structure and the business requirements is essential for developers to identify the right tool. Predominant data formats, existing database types, available budget and the desired output analytics are some important factors. A few of the top tools that can be considered by developers are given below:



1.   MongoDB
This is an open source platform that that is heavily document oriented allowing for full-fledged indexing. Users can index any attribute and can also scale the data horizontally. Its a cross-platform tool that allows developers great control over final results

Read more about this at Mongo DB-Features         


2.   SAP HANA
A proprietary platform from tech giant SAP, HANA offers in-memory data storage that speeds up data processing and delivers more insightful data. It is flexible in handling all forms of data including spatial data, graph data and text data, at real time, making it a powerful though an expensive tool for holistic data analytics.


3.   Google Charts
A free open source platform from Google, this has a wide range of capabilities to handle data off a website. Primarily used for visualization, it can be plugged into a website with a simple JavaScript code. Developers can use it to create dashboards, carry out data management tasks, pull data from an external database, among other tasks


4.   Hadoop
Hadoop is the Big Data tool that everyone has been talking about. An open-source framework, it can handle, store and process massive amounts of data. Due to a distributed computing model, the data processing is fast and powerful. The tool is highly flexible and scalable, making it an ideal choice to leverage Big Data analytics for enormous data sets

Read more about this at Hadoop-Features


5.   Spark
Spark is an highly popular open-source data processing platform and is said to be the most active Apache open source project under Big Data. It is an extremely fast – 100x faster than Hadoop- and flexible platform, enabling analyses all forms of structured and unstructured data. Its advantages include use of multiple languages and accessibility to other databases. 


6.   Splice Machine
Splice Machine is a SQL-on-Hadoop database that analyses data in real time. The tool allows developers to utilize standard SQL on it, giving it flexibility and making it easier to use.
Splice Machine which is also ACID-compliant product is available on a freemium basis and has a list price annual license fee of $5,000 per node.


7.   Splunk
It’s a popular Advanced IT Search Tool used by many companies which derives information from machine data. To make it more lucid, Splunk has the ability to search, monitor and analyze through all machine generated data such as log data generated by applications, servers, and network devices across an organization.

This product further indexes structured as well as unstructured data and helps in diagnosing the problems, making it easy for administrators, business analysts and managers to detect requisite information.

Read more at Splunk-Features

Thursday, 1 December 2016

Oracle’s DYN Acquisition Fits Into Its Goal To Become A Cloud Leader


Last week tech giant Oracle announced that it was acquiring DYN, the popular cDNS provider, for an unspecified amount. Some reports have said that it could be in the region of $600-700 million.

DYN’s cloud-based platform manages and optimises the performance of internet applications and infrastructure by using analytics and intelligent routing. Its Internet performance and Domain Name System (DNS) solution is being used by over 3,500 companies that include top digital brands like Netflix, Twitter and Reddit.  On a daily basis, it handles over 40 billion traffic optimization decisions, making it one of the leading DNS service providers

For Oracle, buying DYN offers an opportunity to challenge the current leaders of cloud computing, Google Cloud.  Oracle currently lags significantly behind these companies in terms of the cloud computing market share, having primarily a portfolio that’s limited to datacentres systems. 


The Enterprises services leader does has a variety of Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) products but adding DYN’s range of scalable services would help Oracle’s customers to get access to cutting edge traffic optimization technologies, filling a gap that might have taken far more time to plug with organic product development.

Oracle has pegged it as a natural extension to its cloud solutions – a service that is the link between hosting data and incoming traffic, resulting in improved metrics for access and user satisfaction for its clients.

This latest acquisition is in keeping with Oracles strategy of buying companies that have noteworthy products in cloud computing – it has in recent times acquired cloud-based applications firm LogFire, cloud access security broker Palerra as well as NetSuite the integrated cloud business software suite.  

If looked at the pattern of these acquisitions, it clearly show the intent of Oracle to move away from its legacy software-led business towards the cloud which in recent times has significantly reshaped how businesses and IT infrastructure are built and run.

It in fact has a stated goal to become the first tech company to reach $10 billion in revenue from cloud business. The NetSuite deal alone is expected to add close to $1 billion in revenue giving a boost to its cloud business.

"With the DYN acquisition, Oracle will be able surely to leapfrog into direct competition with leaders of cloud computing, and make an attempt at taking the leadership position in the market " . 



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