analytics and big data

... 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 ... Retail 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...

Ngày tải lên: 04/12/2015, 00:11

... Industry understanding in the past – BI-DWH is about bank profitability & risk, retention and acquisition, not just reporting – Understanding your customer (customer data) , automation and integration ... Data Warehouse Enabling Analytics to Provide Business Insight What is Data Warehouse? Definitions “A Data Warehouse is a subjectoriented, integrated, time-variant, nonvolatile collection of data ... understand what is being done with their products and services and how they impact a customer’s life and lifestyle • Accelerate decision time make analytic-based decisions in seconds and pervasive...

Ngày tải lên: 20/12/2013, 17:15

... 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

... 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

... www.it-ebooks.info Chapter Big Data and Splunk In this introductory chapter we will discuss what big data is and different ways (including Splunk) to process big data What Is Big Data? Big data is, admittedly, ... category of big data in this book, but the methodology and techniques described here can easily be applied to industrial big data analytics Alternate Data Processing Techniques Big data is not ... sources of machine data or operational data and work with traditional data sources such as databases and data warehouses? The short answer is yes, and we will learn how we can get the data into Splunk...

Ngày tải lên: 05/05/2014, 13:17

... 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 ... algorithms for processing big realistic data 1.2 Thesis Focus and Main Contributions In this thesis, we focus on robust and efficient low-dimensional structure learning for big data analysis The main...

Ngày tải lên: 09/09/2015, 11:33

... 3.3.1 Data Driven Center (DDC) 66 3.3.2 Data Driven Random (DDR) 69 3.3.3 Restricted Data Driven (DD1C and DD1R) 70 3.3.4 Materialized Data Driven Random ... face the big data problem sooner Thus, such problems that were considered solved need to be revisited in the context of big data This thesis provides solutions to three big data problems and summarizes ... of Data Scientist to deal with these complex analyses and come up with a solution in solving big data problems A recent study showed that data scientist is on high demand for the next years and...

Ngày tải lên: 09/09/2015, 17:56

... trợ giải pháp máy chủ standby RDBMS and Data Management/ Session 7/18 of 25 Nhóm tập tin ghi vết giao dịch  Thêm tập tin ghi vết vào sở liệu Cú pháp: ALTER DATABASE database_name { } [;] ::= ... tạo Cú pháp: CREATE DATABASE database_snapshot_name ON ( NAME = logical_file_name, FILENAME = ‘os_file_name’ ) [ , n ] AS SNAPSHOT OF source_database_name [;]  RDBMS and Data Management/ Session ... COLLATE collation_name ] ] [;] RDBMS and Data Management/ Session 7/15 of 25 Nhóm tập tin ghi vết giao dịch  Thêm nhóm tập tin vào CSDL có: Cú pháp ALTER DATABASE database_name { ...

Ngày tải lên: 01/09/2012, 09:09

... XML for the data content of an existing DataSet instance, call its WriteXml method, passing an output file name C# DataSet infoSet = new DataSet(); // - Add tables, relations, and data, then ... format Reading XML Both the DataSet and DataTable classes include ReadXml and ReadXmlSchema counterparts to the XML-writing methods To use them, create a new DataSet or DataTable instance; then ... XmlReadMode.ReadSchema  Reconstructs the DataTable members of the DataSet without loading in the data Chapter 7  Saving and Restoring Data 111 ■■ XmlReadMode.IgnoreSchema  Loads in the data, ignoring any schema...

Ngày tải lên: 03/10/2013, 00:20

... that uses SQL_DMO to extract the data from the database and transform the data into standard electronic data interchange (EDI) files Answer: A Explanation: The data will be published at the company’s ... for this database and then add the size of the model database All new databases are based on the model database The model database has an initial size of MB A quick estimate of the user data of ... queries and determine which indexes should be created on a table and to select and create an optimal set of indexes and statistics for a SQL Server 2000 database without requiring an expert understanding...

Ngày tải lên: 04/11/2013, 16:15

... exactly what Big Data is Why Is Big Data Important? Before you try to understand what Big Data is, you should know why Big Data matters to business In a nutshell, the quest for Big Data is directly ... Top 50 Big Data Twitter influencers (@BigData_ paulz) Paul has written more than 350 magazine articles and 16 books, including Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming ... many Big Data capabilities, such as analytics, visualization, search, and more In Part II, Analytics for Big Data at Rest,” we cover the optimized IBM Big Data platform repositories for data...

Ngày tải lên: 07/12/2013, 11:33

... splits Big Data into two key areas that only IBM seems to be talking about when defining Big Data: Big Data in motion and Big Data at rest In this chapter, we focus on the at-rest side of the Big Data ... fraud teams to work on, and turned Why Is Big Data Important? 23 Mashups and Applications Data Warehouse ODS InfoSphere BigInsights Big Data Repository and Processing Big Data Fraud Analytic Models ... GLANCE PART I Big Data: From the Business Perspective What Is Big Data? Hint: You’re a Part of It Every Day Why Is Big Data Important? 15 Why IBM for Big Data? 35 PART II Big Data: From...

Ngày tải lên: 07/12/2013, 11:34

... 12.7 Icons relevant to External Data 195 CHAPTER 13 13.1 Data from the Internet 195 READING ASCII TEXT DATA 198 Understanding ASCII Text data 199 Why is data stored and distributed in this format? ... “1995,” “2000” and “2010”) 2.2.A NEW DATA You can enter the data for a new case/row by clicking on “New” and typing in the data for the first series, pressing the “TAB and then entering the data for ... Two Roles Of Data/ Form 38 CHAPTER 3.1 REDUCING ERRORS IN DATA ENTRY— VALIDATION AND AUTOCORRECT 40 Validating Data During Data- Entry 40 3.1.a 3.1.b 3.1.c 3.1.d Validation for numeric data 42 Message...

Ngày tải lên: 09/12/2013, 15:15

... my C:\ drive and typed in backup and sure enough, my Windows 95 box had a backup utility and it worked We were able to make a “backup” of Perl and write it to a couple floppies and restore it ... understand the threats and have a chance at finding them Let’s learn a bit more about how data can be hidden on a computer system It makes sense for attackers or criminals to hide files and data ... with Windows and Unix OS • Viruses: File Infector and Boot Record Infector, Macro • Tools like CHKDSK and MEM may help locate malicious code • Files in DOS and Unix can be hidden and found using...

Ngày tải lên: 10/12/2013, 14:16

... for backing up and restoring data Module 10: Backing Up and Restoring Data Introduction to Backing Up and Restoring Data Slide Objective Backup To introduce backing up and restoring data Lead-in ... topics and objectives ! ! Backing Up Data ! Restoring Data ! In this module, you will learn how to back up and restore data Preparing to Back Up Data ! Lead-in Introduction to Backing Up and Restoring ... lost and corrupt data A user must have the appropriate user right or permission to back up and restore data Permissions and User Rights Are Required to Back Up and Restore Restore Restore Data...

Ngày tải lên: 10/12/2013, 16:15

... the skills to group and summarize data by using aggregate functions These skills include using the GROUP BY and HAVING clauses to summarize and group data and using the ROLLUP and CUBE operators ... the skills to group and summarize data by using aggregate functions These skills include using the GROUP BY and HAVING clauses to summarize and group data and using the ROLLUP and CUBE operators ... summarize data by groups ! Use the ROLLUP and CUBE operators and GROUPING function to generate summary data ! Use the COMPUTE and COMPUTE BY clauses to generate control-break reports, grand totals, and...

Ngày tải lên: 11/12/2013, 14:15

... between data- driven and business-driven APIs and explains when one model is preferable over the other It then explains how constraint modeling fits into the data binding picture and how data binding ... open source data binding API, and this chapter details its ins and outs You'll see that Quick offers ideas and processes that are entirely different from most data binding frameworks and you'll ... Command lines and options that should be typed verbatim Names and keywords in Java programs, including method names, variable names, and class names XML element names and tags, attribute names, and...

Ngày tải lên: 12/12/2013, 11:15

... refer to variables by the first part name and the question mark Thus, if we type a command using GDP? EViews uses all three GDP series for the USA, Canada, and Mexico Notice the button PoolGenr PoolGenr ... coefficients and intercepts Even though you may fail to reject the hypotheses that represent restrictions that you impose, the hypotheses may not be perfectly true, and that may affect the estimators and ... Hypothesis Testing In panel data models (as in single-equation multiple-regression models) we are interested in testing two types of hypotheses: hypotheses about the variances and covariances of the...

Ngày tải lên: 20/12/2013, 18:15

... my C:\ drive and typed in backup and sure enough, my Windows 95 box had a backup utility and it worked We were able to make a “backup” of Perl and write it to a couple floppies and restore it ... understand the threats and have a chance at finding them Let’s learn a bit more about how data can be hidden on a computer system It makes sense for attackers or criminals to hide files and data ... with Windows and Unix OS • Viruses: File Infector and Boot Record Infector, Macro • Tools like CHKDSK and MEM may help locate malicious code • Files in DOS and Unix can be hidden and found using...

Ngày tải lên: 21/12/2013, 05:16

... data from, modify data in, and update data sources The DataSet Class The DataSet is a collection of DataTable objects that represent the underlying data of a data source A DataSet has zero or ... disconnected data (such as the DataSet class) System .Data. Common Contains utility classes and interfaces that the data providers inherit and implement System .Data. SqlClient Contains the SQL Server NET data ... Description DataColumnCollection DataColumn The DataColumn object contains data that describes the data in the column (metadata): the column name, the data type, whether the column can be NULL, and so...

Ngày tải lên: 21/12/2013, 19:15