Price discrimination and downward demand spiral are widely used analytical concepts/practices in the Airlines and Hospitality industries respectively, long before the term Big Data Analytics was even coined. Incidentally, these concepts have been taught in global elite b-schools for decades. So, how come Analytics, which has been there in practice for decades experience a meteoric rise suddenly? To answer this question, we need to get the Big Picture. Given below are key factors that led to huge buzz around analytics today.
The advent of sharing economy has brought a sea change in the way urban populace commute locally. The Ubers, Lyfts and many other local players have made taxi riding convenient, affordable and safe. These rides have emerged as a strong alternative to the public transport clocking millions of rides per month in some cities. The emergence of hyper-local delivery models to optimize the supply chain has also led to a large number of daily trips by these vehicles.
These developments have mandated the installations of either standalone or smartphone app-based GPS devices to keep track of and better regulate these rides and a fleet of taxis. These GPS systems spew a ton of data generating up to GBs of…
The sudden increase in the volume of data from the order of gigabytes to zettabytes has created the need for a more organized file system for storage and processing of data. The demand stemming from the data market has brought Hadoop in the limelight making it one of biggest players in the industry. Hadoop Distributed File System (HDFS), the commonly known file system of Hadoop and Hbase (Hadoop’s database) are the most topical and advanced data storage and management systems available in the market.
What are HDFS and HBase?
HDFS is fault-tolerant by design and supports rapid data transfer between nodes even during system failures. HBase is a non-relational and open source Not-Only-SQL database that runs on top of Hadoop. HBase comes under CP type of CAP (Consistency, Availability, and Partition Tolerance) theorem.
HDFS is most suitable for performing…
Big Data analytics is in the buzz since a while, but people still have various misconceptions about it and the way it functions to assist you in transforming your business goals. Irrespective of the industry you are into, your company processes a huge amount of data raw data that can be tapered to a more organized form.
Let’s have a look on the common myths about Big Data:-
1. Big Data means lots of data
When you hear Big Data, instinctively an image of loads of data floats in your mind. Big Data is not all about having a huge bank of information which is hardly of any use, it means having quality data which is useful for your business. Having a huge data bank means, it is prone to have redundant and duplicate entries. Big Data analytics helps you streamline the right data, irrespective of the quantity.
2. Big Data is extremely essential
Having raw and unprocessed data is practically of no value for an organization, unless it is…
In any hiring process, a candidate with a professional certification always gets extra attention. Here are a few of the certifications in data science.
IBM Certified Data Architect -- Big Data
By this training, you will be able to master your skills in handling big data. The data architect will be having knowledge in different big data technologies, knowing their differences and then finally integrate them to find solutions of any business obscurity. The certification holder will be able to plan big data processors and help in the hardware and software architecture planning. This course is certified by IBM named as IBM Big data and is an added advantage to get your…
Source: Edureka.co blog - http://www.edureka.co/blog/5-reasons-to-learn-hadoop/
Big Data and Hadoop skill could mean the difference between having your dream career and getting left behind. Dice has quoted, “Technology professionals should be volunteering for Big Data projects, which makes them more valuable to their current employer and more marketable to other employers.”
According to 90 executives who participated in the ‘The Big Data Executive Survey 2013’ conducted by NewVantage Partners LLC, supported by the Fortune 1000 senior Business & Technology executives, 90% of the organizations surveyed are already doing something with Big Data.
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