The SAP engineers as well as the software professionals at Sapphire Now have offlate been discussing the possible restrictions and likelihood for SAP S/4HANA for acting as a robust platform primarily for the purpose of managing the enterprise based strategies for Internet of Things as well as Big Data.
The general notion in the mindset of the people is that Internet of Things (IoT) is capable of sending out a tidal wave of enormous quantities of data in any enterprise. It is has been projected that billions of controllers and sensors, who are all capable of connecting to some other machine for the instruction and analysis, are eagerly waiting for the creation of trillions of data events along with transactions. The SAP managers and engineers has gone ahead and shared their views through a series of conversations when they were probed on how an organization could simply reconcile huge data quantities with in-memory built-for-speed…
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…
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…
Hadoop is the hot new technology and SQL is the old, tried and tested tool for diving deep into big data, for analysis. This is true, but the number of projects that are putting an SQL front end on Hadoop data stores shows that there is a real need for data querying high level languages in the Hadoop environment. Hadoop MapReduce being a complicated tool for data analysis, developers had come up with Pig and Hive – similar to SQL, which makes it easy to implement Hadoop, without the need for coding in Java, to analyze data. It is important to understand how different these are from each other – this is so that each can be optimally utilized for the right use case.
In the present age of Big Data, a number of querying options are available. While the old giant SQL continues to rein supremacy, organizations’ affinity towards open source programming and querying languages to tame Big Data has created plenty of space for Apache based Pig and Hive. Choosing the right…
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.
Resources to Help :
Better Risk Management with Apache Hadoop and Red Hat
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