HBase has a rigid master slave architecture and its main purpose is to be a scalable and efficient NoSQL database which helps in storing data. HBase has strongly constant read/writes which makes it suitable for high-speed counter aggregation. There is automatic sharding which helps in splitting of regions as the volume of data grows in a particular region. The automatic failover mechanism of HBase allows availability of data to a higher probability as the regions are reallocated among the rest of the region servers. HBase stores all its data in the end in HDFS so that data is permanently stored. HBase even supports many API like Java client API for programmatic access and Thrift/REST API as options for other programmatic options. HBase even supports MapReduce framework for processing parallel with a large number of jobs.
From the above architecture diagram, HBase is located on top of HDFS and it is definitely a fact that HBase uses HDFS as its underlying architecture. The HMaster is responsible for monitoring all Region Server instances in the cluster and is the interface for all the...
Kerberos provides a secure authentication scheme. Authentication is needed to restrict the intruders and malicious users. The major security issues discussed are privacy of the data, integrity of data and authentication mechanism which is not there in Hadoop. Hadoop supports Kerberos for authentication and many security features can be configured with the Hadoop to restrict the accessibility of the data. The data can be associated with the user names or group names in which data can be accessed. Kerberos is a conventional authentication system, improved authentication systems can be used which are more secure and efficient than
an HBA installed at the server sends or receives data to and from a storage array,
Big Data is a term used to refer to extremely large and complex data sets that have grown beyond the ability to manage and analyse them with traditional data processing tools. However, Big Data contains a lot of valuable information which if extracted successfully, it will help a lot for business, scientific research, to predict the upcoming epidemic and even determining traffic conditions in real time. Therefore, these data must be collected, organized, storage, search, sharing in a different way than usual. In this article, invite you and learn about Big Data, methods people use to exploit it and how it helps our life.
NoSQL are called non-relational databases, which is not created by any software companies. The examples for NoSQL are Dynamo created by Amazon, Bigtable created by Google, and Cassandra created by Facebook. NoSQL supports...
HDFS is a Master/Slave architecture,contains one Master node called NameNode and slaves or workers node called Datanodes,usually one per node in the cluster. Which manage storage attached to the nodes that they run on.
Sensor data, social networking, personal settings, photos, information based on location, online activity, metric usage, etc., can be included in unstructured data from the web. The attempt to store, process, and analyze this entire unstructured data became the cause of development of schema-less alternatives to SQL. Considered together, these alternatives are referred to as NoSQL, denoting “not only SQL”. Whereas, the term NoSQL surrounds a large range of alternatives to relational databases, and the feature that they have in common is that they enable you to treat data more
The Healthcare Cost and Utilization Project also called “H-CUP” is the largest health care database system and related software tools that is develop through the Federal-State partnership. HCUP is sponsored by the Agency for Healthcare Research and Quality which the lead Federal agency that is charge with the responsibility of improving the safety and quality of America’s Healthcare system. HCUP gathers data from all levels of healthcare facilities, State data organization, hospital associations, private data organization, and the Federal government to create a national information resource for encounter level healthcare data. ("HCUP-US, 2016".) HCUP has the largest collection of hospital care data in the United States, today, dating back
Apache Hadoop is one of the solutions; it is an open-source software framework for storage and large scale processing of data-sets on clusters of commodity hardware [3]. Also, Apache Hadoop is a scalable fault-tolerant distributed system for data storage and processing. The core of Hadoop has ...
HSBC is a public limited company (plc) in the financial sector of the banking industry. Considered one of the most successful banks in the world, the British Multinational Banking and Services Company operates in over 90 countries worldwide. The main headquarters of HSBC are located in London but the company boasts nearly 8,000 offices, serving over 60 million customers. HSBC’s services are divided into four main groups of global business; Commercial Banking, Private Banking, Retail Banking and Wealth Management, and Banking and Markets (investment banking), along with the issuing of loans, debit, and credit cards to its customers.
Hadoop is a free, java based programming framework that usually supports processing of large data sets that are in diverse computing environment. Hadoop is a cluster computation framework. Apache Hadoop is a programming framework that provides support to data intensive distributed applications with a free license. The program was inspired by Google file and Google’s MapReduce system (Eadline, 2013). According to Eadline (2013), the Hadoop technology was designed to solve various problems such as to provide a fast and reliable analysis for both complex and clustered data. Consequently, different organizational enterprises deployed Hadoop with the existing IT systems, thereby, allowing them to combine old and new data in a strong framework. The major industrial players who used Hadoop technology include IBM, Yahoo, and Google (Lavalle, Lesser, Shockley, Hopkins & Kruschwitz, 2011).
CouchDB is an open source database which was written in Erlang, which has the ability to synchronize the data between offline and online devices by using replication. It uses the JavaScript as a query language and makes use of Futon to provide the administrative controls. It has some of the very useful features like ACID semantics that were not available in other NoSQL databases. Has the ease of use in different operations. It keeps the data in form of documents as opposed to the traditional databases which use tables. Each document is identified by its unique id. CouchDB supports eventual consistency, REST API, distributed architecture and MapReduce.
Big Data Security Analytics is a collection of security data sets which are large and complex and it becomes difficult to process using the traditional database management tools or hands on database tools. These Analytics tools are primarily used for detecting threats in the large volumes of data by using multiple NoSql analytics that are provided by SIEMS or security management.
In contrast to parallel database, cloud database puts all resources together in a pool, so whenever a resource is requested, pool serves that request and load depends on the number of requests. Pitoura, Ntarmos and Traintafillou (2012, p. 1315) argue that “range queries progress from the peer responsible for the range’s lowest value to the peer responsible for its highest value following successor pointers”. On the contrary, in parallel database successive pointers are not used while all nodes are connected in a tree structure. Cloud database mainly deals with the software as a service, in ...
NoSQL are designed to expand transparently to take advantages of new nodes and they are built using low cost hardware, so cost shouldn’t be a problem. Big Data In today’s world, the transactions are so frequent that the data generated out of these transactions is huge. It is very difficult to store these huge transactional data in the traditional database systems. NoSQL with its elastic scaling feature, it is possible to increase the size of the database to store huge amount of transactional data. All the challenges involved in processing these huge transactional data can be overcome with NoSQL database systems. No DBA required NoSQL database systems can handle many of the things on its own. Dedicated database administrators are not required to handle day to day database operations. Since these systems have simpler data models, automated repair etc., No administrator is necessary to handle these things. Economics Traditional databases costs more money. The amount of space that you get on buying traditional database systems is less when compared to the NoSQL database system. In other words, cost per gigabyte per second or transaction per second is many times less when compared to traditional database management system. Flexible data model NoSQL database systems have flexible data models, unlike traditional relational database management systems. If any changes to the data model in traditional database systems, then it may bring down whole database system or the functions might not work as expected. But this is not the case with NoSQL database system. NoSQL has far more relaxed data model which allows the user to add a new column to store data without any much fuss. NoSQL key value stores and document the database virtually in a data
Another function of the DBMS is the concurrency control services. Database Management System must ensure that the database is updated correctly because the database can be used by many multiple users. The DMS enable many user to access the data concurrently. The database managements system will help from ay data loss. It have the features which that can support the updates like batch processing, locking, two-phase locking and the time stamping.