balancing performance complexity and big data

... banks and big data: Risk and compliance executives weigh in Big data as the key to better risk management Which of the following areas presents the biggest opportunities for Big Data to improve performance ... integrate, manipulate and query big data when creating risk profiles Almost half (47%) have plans to invest in these Retail banks and big data: Risk and compliance executives weigh in Big data as the key ... executives In years 81 Basic big data tools to integrate, manipulate and access structured and unstructured data 15 42 Advanced big data tools such as predictive analytics and data visualization 47 41...

Ngày tải lên: 04/12/2015, 00:11

... the Looking Glass Welcome to the Big Data Age From Pieces of a Puzzle to a Complete Picture: The Future Is Now Advertising as the Big Bad Wolf Big Brother and Big Data Around the World At the Crossroads: ... available data sources from federal, state, and local government agencies, academic and research institutions, geospatial data, economic data, census data; this list goes on as well With all that data ... power.” It was true then and it is still true now The more informed we are about privacy in the age of big data, the more we can shape and affect data privacy policies, standards, and regulations This...

Ngày tải lên: 12/03/2018, 09:52

... new data storage and processing techniques and tools such as Hadoop clusters, Bloom filters, and R data analysis tools Big data is data too big to be handled and analyzed by traditional database ... wires and batteries and capacitors and resistors could all be combined and recomthat wires and batteries and capacitors and resistors could all be combined and recom bined to create brand new ... conceive of and treat individual identity, personal privacy, and data ownership, and how you understand potential impacts on customer’s reputaand data ownership, and how you understand potential...

Ngày tải lên: 31/03/2014, 12:20

... John Wiley & Sons, Inc., Publication High -Performance Parallel Database Processing and Grid Databases High -Performance Parallel Database Processing and Grid Databases David Taniar Monash University, ... 286 Grid Databases 10 Transactions in Distributed and Grid Databases 291 10.1 Grid Database Challenges 292 10.2 Distributed Database Systems and Multidatabase Systems 10.2.1 Distributed Database ... include data warehousing and online analytic processing (OLAP) applications, data mining, genome databases, and multiple media databases manipulating unstructured and semistructured data Therefore,...

Ngày tải lên: 21/01/2014, 18:20

... records from data page to main memory, 44 Chapter Analytical Models ž ž ž Data computation and data distribution, Writing records (query results) from main memory to data page, and Data writing ... in any parallel database processing is the middle step, consisting of data computation and data distribution What we mean by data computation is the performance of some basic database operations, ... (SIGMOD 1992), and MAGIC (IEEE TPDS 1994) Other data partitioning methods for parallel databases have been reported by Hua and Lee (VLDB 1990) and Ibá nez-Espiga and Williams (DEXA 1992) Data placement...

Ngày tải lên: 21/01/2014, 18:20

... Iyer and Dias (ICDE 1990) and DeWitt et al (1992) discuss systems issues in parallel database sorting Parallel sorting for databases uses external sorting methods Yamane and Take (1987) and Zhao ... done, either before data redistribution or after data redistribution In general, the performance of two-phase and redistribution methods are better than those of the traditional and hierarchical ... load and save costs The save costs are double those of the load costs as data saving is done twice: once after the data has arrived from the network and again when final results are produced and...

Ngày tải lên: 21/01/2014, 18:20

... join) and Hua et al (VLDB 1991; IEEE TKDE 1995; proposing partition tuning to handle dynamic load balancing) Other work on skew handling and load balancing include DeWitt et al (VLDB 1992) and ... involve only one aggregate function and a single join High -Performance Parallel Database Processing and Grid Databases, by David Taniar, Clement Leung, Wenny Rahayu, and Sushant Goel Copyright  2008 ... parameters N Number of processors R and S Size of table R and table S jRj and jSj Number of records in table R and table S jRi j and jSi j Number of records in table R and table S on node i P Page size...

Ngày tải lên: 21/01/2014, 18:20

... spread spread spread, but spread spread spread, but spread not random randomly randomly not random randomly randomly not random randomly Figure 7.26 A comparative table for parallel multi-index ... search search Local data Local data Remote Remote Remote load load data load data load data load Not Not Not necessary necessary necessary N/A N/A Local data Remote Local data load data load load ... search search search Remote Remote Remote data load data load data load Not Searching Searching necessary needed needed Remote Local data Remote data load load data load 7.7 Comparative Analysis 215...

Ngày tải lên: 21/01/2014, 18:20

... and 33, and processors), load balancing is achieved by spreading and combining partitions to create more equal loads For example, buckets 11, 22 and 23 are placed at processor 1, buckets 13 and ... sort-merge, sort-hash, and purely hash Parallel Collection-Intersect Join Algorithms Data partitioning methods available are simple replication, divide and broadcast, and divide and partial broadcast ... technique, Ž Divide and broadcast technique, Ž One-way divide and partial broadcast technique, and Ž Two-way divide and partial broadcast technique b Adopting the two-way divide and partial broadcast...

Ngày tải lên: 21/01/2014, 18:20

... both autonomous and heterogeneous computing and data resources Advanced scientific and business applications are data intensive These applications are collaborative in nature, and data is collected ... feature from the performance perspective How does data replication affect the data consistency? 10.2 DISTRIBUTED DATABASE SYSTEMS AND MULTIDATABASE SYSTEMS Management of distributed data has evolved ... distributed data, replicating the data at local sites for efficient access, and fast processing of data by divide -and- conquer technique, and at times distributed processing is computationally and economically...

Ngày tải lên: 21/01/2014, 18:20

... homogeneous and synchronous distributed database systems cannot be implemented in Grid databases because of architectural limitations (Grid databases are heterogeneous and asynchronous) (2) Multidatabase ... (distributed and multidatabase), and the recovery model for DBMS without global information (Grid database) Figure 12.8 shows the recovery model for an individual database site The stable database ... Grid-ACP, and outline the differences between failure recovery in Grid-ACP and other systems (e.g., distributed and multidatabase systems) Chapter 13 Replica Management in Grids Grid databases or data...

Ngày tải lên: 21/01/2014, 18:20

... rules and parallel sequential patterns, respectively 16.1 FROM DATABASES TO DATA WAREHOUSING TO DATA MINING: A JOURNEY All three, databases, data warehouses, and data mining, deal with data Therefore, ... 16.2, covering basic data mining tasks, differences between data mining and database querying, and parallelism techniques for data mining algorithms Following this, Sections 16.3 and 16.4 describe ... to understand the evolution of data mining, through databases and data warehousing, all of which have a common denominator called data or databases An overview of data mining is described in more...

Ngày tải lên: 21/01/2014, 18:20

... different from databases and data warehouses, whose data follows a particular structure and model, such as relational structure in relational databases or star schema or data cube in data 16.2 Data Mining: ... data mining and Predictive data mining Descriptive data mining describes the data set in a concise manner and presents interesting general properties of the data This somehow summarizes the data ... process Data preparation steps generally cover: ž ž ž ž Data selection: Only relevant data to be analyzed is selected from the database Data cleaning: Data is cleaned of noise and errors Missing and...

Ngày tải lên: 21/01/2014, 18:20

... M., “GAMMA—A High Performance Data ow Database Machine”, Proceedings of Very Large Data Bases (VLDB), pp 228–237, 1986 High -Performance Parallel Database Processing and Grid Databases, by David ... Handbook for Database and Transaction Systems, Second edition, Morgan Kaufmann, 1993 Hameurlain, A and Morvan, F., “A Cost Evaluator for Parallel Database Systems”, Proceedings of Database and ... A.R., and O’Mullane, W., “When Database Systems Meet the Grid”, Proceedings of Conference on Innovative Data Systems Research (CIDR), pp 154–161, 2005 Ozkarahan, E., Database Machines and Database...

Ngày tải lên: 26/01/2014, 15:20

... Talia, D., and Trunfio, P., “Parallel and Grid-Based Data Mining - Algorithms, Models and Systems for High -Performance KDD”, Proceedings of the Data Mining and Knowledge Discovery Handbook, pp ... Deloch, S., “Databases, Web Services, and Grid Computing—Standards and Directions”, Proceedings of Euro-Par, pp 3, 2003 Koparanova, M.G and Risch, T., “High -Performance GRID Stream Database Manager ... 430 data mining tasks, 431–433 descriptive data mining, 431 predictive data mining, 431 data parallelism, 437–438 data warehouse, 429 data- intensive applications, 428 definition, 430 from databases...

Ngày tải lên: 26/01/2014, 15:20

... Talia, D., and Trunfio, P., “Parallel and Grid-Based Data Mining - Algorithms, Models and Systems for High -Performance KDD”, Proceedings of the Data Mining and Knowledge Discovery Handbook, pp ... Deloch, S., “Databases, Web Services, and Grid Computing—Standards and Directions”, Proceedings of Euro-Par, pp 3, 2003 Koparanova, M.G and Risch, T., “High -Performance GRID Stream Database Manager ... 430 data mining tasks, 431–433 descriptive data mining, 431 predictive data mining, 431 data parallelism, 437–438 data warehouse, 429 data- intensive applications, 428 definition, 430 from databases...

Ngày tải lên: 26/01/2014, 15:20

... next issue for Optimizing Performance DURING the Big Event’: Nutrition, Hydration and Training Tips Trent Stellingwerff is a PhD Candidate in the Dept of Human Biology and Nutritional Sciences ... in Nutrition and Exercise Physiology, while captaining the track and field team in his last year Currently, Trent works part time at the Univ of Guelph Health and Performance Centre and is also ... subjects lasting 33% and 69% longer on the bike over the mixed diet and high fat and high protein diet, respectively5 So obviously taking in a CHO rich diet the threedays before a big event can really...

Ngày tải lên: 16/03/2014, 19:20

... Implementing Splunk: Big Data Reporting and Development for Operational Intelligence Learn to transform your machine data into valuable IT and business insights with this comprehensive and practical ... Splunk from the command line Querying Splunk via REST Writing commands When not to write a command When to write a command Configuring commands Adding fields Manipulating data [ viii ] www.it-ebooks.info ... read and search across Packt's entire library of books.  Why Subscribe? • Fully searchable across every book published by Packt • Copy and paste, print and bookmark content • On demand and accessible...

Ngày tải lên: 30/03/2014, 05:20

... Oracle performance by writing and tuning SQL properly, using performance tools, and optimizing instance performance It also explains how to create an initial database for good performance and includes ... 13 Creating a Database for Good Performance Building a Database for Performance Initial Database Creation Database Creation Using the Installer Manual Database Creation ... Trace and TKPROF instead Note: Part III, "Creating a Database for Good Performance" This section describes how to create and configure a database for good performance Chapter 13, "Building a Database...

Ngày tải lên: 29/04/2014, 15:32

... big data, under limited memory and computational cost budget These two methods handle two different types of contaminations within the data: (1) OR-PCA is for the data with sparse corruption and ... [6] Practical high dimensional data, such as DNA microarray data, financial data, consumer data, and climate data, easily have dimensionality ranging from thousand to billions Partly due to the ... 4.1 (a) and (b): subspace recovery performance under different corruption fraction ρs (vertical axis) and rank/n (horizontal axis) Brighter color means better performance; (c) and (d): the performance...

Ngày tải lên: 09/09/2015, 11:33