... 60–62
with search criteria
62–64
storing data in 37–57
adding data process
37–41
batch processing 46–48
examining in changing
data 42–44
removing data 45–46
validating changes
49–56
DataType, DataColumn ... from: iDATA.ws
DataView instances
393
creating relationships be-
tween 78–79
Data Source Configuration
Wizard 13, 355, 360
Data Source Connection
Wizard 27, 122–124,
126
Data Source key 123
data ...
columns 67
DataView
about 99–100
creating 100–102
using 102–106
DataTable class type
about 18, 19
data- related events in 19
generating table-specific
data rows 38
PrimaryKey property
24–25
DataTableExtensions...
... purposes with sufficient accuracy. For storing
spatial data contained within a single country or smaller area, the geometry datatype will generally
provide sufficient accuracy, and comes with the ... objects
294
CHAPTER 10 WORKING WITH SPATIAL DATA
Figure 10-7. Previewing data downloaded from the Geonames web site
300
CHAPTER 10 WORKING WITH SPATIAL DATA
However, you should exercise ... to spatial data
held in a database. Users pan and zoom the map to display a particular area of interest, and any data
contained within the visible map view is retrieved from the database to...
... CHAPTER 11 WORKING WITH TEMPORAL DATA
When a user submits new data or updates existing data, thereby altering date/time
data in the database, the database should convert the data from the user’s ... date/time within
the range of the data type you’re working with.
330
CHAPTER 11 WORKING WITH TEMPORAL DATA
370
Summary
Virtually all data has some form of a temporal component, and every database ... WORKING WITH TEMPORAL DATA
However, even though this might solve the problem of creating temporal data in different time
zones, problems still occur when performing calculations on that data. ...
... on-time, on-budget commitment, coupled
with its one-stop services for wireless networks providers, allowed the carri-
er to expand its data center capabilities within six months.
BUSINESS CHALLENGE
A ... CHALLENGE
A major wireless carrier needed to expand two mirrored data centers, more
than 2,000 miles apart, with the same quality and consistency throughout to
provide uninterruptible ... well as ensure uniform service quality.
ENSURING WIRELESS AVAILABILITY AND
SERVICE QUALITY WITH DUAL DATA CENTERS
CASE STUDY
...
...
Working with Primitive Data Types
C# has a number of built-in types called primitive data types. The following table lists the
most commonly used primitive data types in C#, and ... Primitive Data Type Values
In the following exercise, you'll use a C# program named PrimitiveDataTypes to
demonstrate how several primitive data types work.
Display primitive data type ...
2\PrimitiveDataTypes folder in your My Documents folder. Select the file
PrimitiveDataTypes.sln and then click Open.
The solution loads, and the Solution Explorer displays the solution and
PrimitiveDataTypes...
... Database
Database
DataSet
DataSet
Tables
Tables
DataTable
DataTable
DataRowCollection
DataRowCollection
DataColumnCollection
DataColumnCollection
ConstraintCollection
ConstraintCollection
DataRelationCollection
DataRelationCollection
ADO.NET ... System.Type.GetType("System.String"))
Creating a DataSet
DataTable
DataTable
DataSet
DataSet
Practice: Binding a Control to a DataSet
Binding a control to a DataSet
Binding a control to a DataSet
1
1
Verifying the ... XmlDocument
Lesson: Using DataSets
ADO.NET Model
Creating a DataSet
Filling the DataSet
Persisting the DataSet as an XML File
Binding to a DataSet
Using a DataGrid
Working with SQL Server CE
Available database...
... of data integration tasks, such as sources, targets and how data ows
between them.
Chapter 5, Working with Databases, is the rst chapter that will show how to use
ODI Studio to work with databases: ... to, or integration with data. Job roles that are a likely
match include ETL developers, Data Warehouse Specialists, Business Intelligence
Analysts, Database Administrators, Database Programmers, ... Enterprise, or Data
Architect, among others.
Those interested in, or responsible for, data warehouses, data marts, operational data
stores, reporting and analytic servers, bulk data load/movement/transformation,...
... CALDER
´
ON PROBLEM WITH PARTIAL DATA
585
Ψ is analytic, real and satisfies (6.1) with ϕ(x)=Φ(x, x)=ln|x − x|. We can
take α = y and (6.2) becomes
f(x)=f(x; θ)=Ψ
y
|ν,θ=(y, x, ν),(6.11)
with (y, ν) ... by applying (3.23) with v replaced by
v − h
2
qu. Summing up the discussion so far, we have
Annals of Mathematics, 165 (2007), 567–591
The Calder´on problem with partial data
By Carlos E. Kenig, ... PROBLEM WITH PARTIAL DATA
581
5. More use of the Carleman estimate
In Section 3 we derived a Carleman estimate for e
ϕ/h
u when h
2
(−∆+q)u
= v when ϕ is a smooth limiting Carleman weight with nonvanishing...
... 3
Defining BigData 3
The Importance of BigData 4
Building a BigData Platform 5
Infrastructure Requirements 5
Solution Spectrum 6
Oracle’s BigData Solution 8
Oracle BigData Appliance ... is tightly integrated with
Oracle Exadata and Oracle Database, so you can analyze all your data together with extreme
performance.
Oracle BigData Appliance
Oracle BigData Appliance comes ... extreme volumes of data, with varying data types, which can then be
integrated with an organization’s other enterprise data to be analyzed.
The Importance of BigData
When bigdata is distilled...
... Noisy Data of Machine-labeled
Data
We finally obtained labeled data of a documents
unit, machine-labeled data. Now we can learn text
classifiers using them. But since the machine-
labeled data ... TCFP with
those Using other Classifiers
In this section, we prove the superiority of TCFP
over the other classifiers (SVM, kNN, Naive Bayes
(NB), Roccio) in training datawith much noisy
data ... with
robustness from noisy data (Ko and Seo, 2004).
How can labeled training data be automatically
created from unlabeled data and title words?
Maybe unlabeled data don’t have any information...
... xem tiếp
Big Data là gì?
Big Data lớn về số lượng, được bắt giữ với tốc độ nhanh, có cấu trúc hoặc không
có cấu trúc, hoặc là bao gồm các yếu tố ở trên. Những yếu tố này làm cho BigData
khó ... nghĩa về BigData và sau đó thực hiện một loạt các ví dụ
để bạn có thể có được những hiểu biết ban đầu về một số khả năng của Hadoop,
công nghệ nguồn mở hàng đầu trong lĩnh vực Big Data. Cụ ... Hadoop
Big Data nguồn mở, Phần 1: Hướng dẫn Hadoop: Tạo ứng
dụng Hello World với Java, Pig, Hive, Flume, Fuse, Oozie và
Sqoop với Informix, DB2 và MySQL
Có rất nhiều điều thú vị về Big Data...
... (vincent.bumgarner@gmail.com)
www.it-ebooks.info
www.it-ebooks.info
Table of Contents
[ ix ]
Transforming data 396
Generating data 401
Writing a scripted lookup to enrich data 403
Writing an event renderer 406
Using specic elds 406
Table of elds ... 339
Receiving syslog events 340
Receiving events directly on the Splunk indexer 340
Using a native syslog receiver 341
Receiving syslog with a Splunk forwarder 343
Consuming logs from a database 343
Using ... Appears in X% of results tells you how many events contain a value for
this eld.
• Show only events with this eld will modify the query to only show
events that have this eld dened.
• Select...
... vii
1.
Big Data, Big Impact. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Why Big Data? 4
What Is BigData Forcing? 5
Big Data ... data analysis tools. Bigdata is data too big to be handled and analyzed by traditional
database protocols such as SQL (which makes
big data a term that may evolve over time;
what is now big ... for bigdata ethics:
2 | Chapter 1: Big Data, Big Impact
www.it-ebooks.info
Those benefits can include:
• Faster consumer adoption by reducing fear of the unknown (how are you using my
data? )
•...