Getting Started with IBM Data Studio for DB2

More documents

Recommendations

Info

42 Getting Started with IBM Data Studio for DB2 Installation Manager begins the installation. There may be a pause in the progress bar at some point; be sure to wait and not interrupt the processing. When the product successfully installs, you see the screen shown in Figure 1.13. Figure 1.13 – Congratulations! Data Studio is installed 12. Click Finish to close Installation Manager. Now that you have installed Data Studio, you should open the product and create a workspace. To start Data Studio for the first time: 1. Open Data Studio: Windows: Open the workbench from the Start menu: Start > All Programs > IBM Data Studio > Data Studio 3.1.1 Full Client. Linux:installation_directory/eclipse (where installation directory is the directory where you installed Data Studio).
Chapter 1 – Overview and installation 43 2. Specify a workspace name. We use the name GettingStarted for our workspace. An example of this is shown in Figure 1.14. Figure 1.14 – Specifying a workspace name Note: A workspace is a location for saving all your work, customizations, and preferences. Your work and other changes in one workspace are not visible if you open a different workspace. The workspace concept comes from Eclipse. The Data Studio workbench opens. You see the default Database Administration perspective, including the Task Launcher, as shown in Figure 1.15.
Page 1 and 2: ]
Page 3 and 4: 3 Notices This information was deve
Page 5 and 6: Table of contents 5 Table of conten
Page 7 and 8: 3.3.1 Exporting data...............
Page 9 and 10: Chapter 7 - Tuning queries ........
Page 11 and 12: 11.4 Community and resources ......
Page 13 and 14: Preface 13 Keeping your skills curr
Page 15 and 16: around the world have participated
Page 17 and 18: 17 About the authors Dimple Bhatia
Page 19 and 20: Contributors 19 The following peopl
Page 21: 21 Acknowledgements The authors owe
Page 24 and 25: 24 Getting Started with IBM Data St
Page 92 and 93:
92 Getting Started with IBM Data St
Page 94 and 95:
Page 96 and 97:
Page 98 and 99:
Page 100 and 101:
100 Getting Started with IBM Data S
Page 103 and 104:
103 Chapter 3 - Maintaining the dat
Page 105 and 106:
Chapter 3 - Maintaining the databas
Page 107 and 108:
Page 109 and 110:
Page 111 and 112:
Page 113 and 114:
Page 115 and 116:
Page 117 and 118:
Page 119 and 120:
Page 121 and 122:
Page 123 and 124:
Page 125 and 126:
Page 127 and 128:
Page 129 and 130:
Page 131 and 132:
Page 133 and 134:
Figure 3.35 - Selecting additional
Page 135 and 136:
Page 137:
Page 140 and 141:
Page 142 and 143:
Page 144 and 145:
Page 146 and 147:
Page 148 and 149:
Page 150 and 151:
Page 152 and 153:
Page 154 and 155:
Page 156 and 157:
Page 159 and 160:
159 Chapter 5 - Creating SQL and XQ
Page 161 and 162:
Chapter 5 - Creating SQL and XQuery
Page 163 and 164:
Page 165 and 166:
Page 167 and 168:
Page 169 and 170:
Page 171 and 172:
Page 173 and 174:
Page 175 and 176:
Page 177 and 178:
Page 179 and 180:
Page 181 and 182:
On Success On Error Result Chapter
Page 183 and 184:
Page 185 and 186:
Page 187 and 188:
Page 189 and 190:
Page 191 and 192:
Page 193 and 194:
193 Chapter 6 - Managing jobs Job m
Page 195 and 196:
Chapter 6 - Managing jobs 195 6.3 J
Page 197 and 198:
Chapter 6 - Managing jobs 197 6.4 C
Page 199 and 200:
Chapter 6 - Managing jobs 199 Figur
Page 201 and 202:
Chapter 6 - Managing jobs 201 Comp
Page 203 and 204:
Page 205 and 206:
Page 207 and 208:
Chapter 6 - Managing jobs 207 6.5 R
Page 209 and 210:
Chapter 6 - Managing jobs 209 6.6.2
Page 211 and 212:
Page 213 and 214:
213 Chapter 7 - Tuning queries In t
Page 215 and 216:
Chapter 7 - Tuning queries 215 Figu
Page 217 and 218:
Chapter 7 - Tuning queries 217 You
Page 219 and 220:
Chapter 7 - Tuning queries 219 •
Page 221 and 222:
Page 223 and 224:
7.4.2 Run the Statistics Advisor an
Page 225 and 226:
Chapter 7 - Tuning queries 225 7.4.
Page 227 and 228:
Chapter 7 - Tuning queries 227 For
Page 229 and 230:
Page 231 and 232:
Chapter 7 - Tuning queries 231 To s
Page 233 and 234:
Chapter 7 - Tuning queries 233 3. O
Page 235 and 236:
Chapter 7 - Tuning queries 235 7.6
Page 237 and 238:
237 Chapter 8 - Developing SQL stor
Page 239 and 240:
Chapter 8 - Developing SQL stored p
Page 241 and 242:
Page 243 and 244:
Page 245 and 246:
Page 247 and 248:
Page 249 and 250:
Page 251 and 252:
Page 253 and 254:
Page 255 and 256:
Page 257 and 258:
Page 259 and 260:
Page 261 and 262:
Page 263:
Page 266 and 267:
Page 268 and 269:
Page 270 and 271:
Page 272 and 273:
Page 274 and 275:
Page 276 and 277:
Page 278 and 279:
Page 280 and 281:
Page 282 and 283:
Page 284 and 285:
Page 286 and 287:
Page 288 and 289:
Page 290 and 291:
Page 292 and 293:
Page 294 and 295:
Page 296 and 297:
Page 298 and 299:
Page 300 and 301:
Page 302 and 303:
Page 304 and 305:
Page 306 and 307:
Page 308 and 309:
Page 310 and 311:
Page 312 and 313:
Page 314 and 315:
Page 316 and 317:
Page 318 and 319:
Page 320 and 321:
Page 322 and 323:
Page 324 and 325:
Page 326 and 327:
Page 328 and 329:
Page 330 and 331:
Page 332 and 333:
Page 334 and 335:
Page 336 and 337:
Page 338 and 339:
Page 340 and 341:
Page 342 and 343:
Page 344 and 345:
Page 346 and 347:
Page 348 and 349:
Page 350 and 351:
Page 352 and 353:
Page 355 and 356:
355 Appendix D - The Sample Outdoor
Page 357 and 358:
Appendix D - The Sample Outdoor Com
Page 359 and 360:
Page 361 and 362:
Page 363 and 364:
Appendix E - Advanced topics for de
Page 365 and 366:
Page 367 and 368:
Page 369 and 370:
Page 371 and 372:
Page 373 and 374:
Page 375 and 376:
Page 377 and 378:
Page 379 and 380:
Page 381 and 382:
Page 383 and 384:
Page 385 and 386:
Page 387 and 388:
Page 389 and 390:
E.5.4 Data web services artifacts A
Page 391 and 392:
References 391 References [1] HAYES
Page 393 and 394:
References 393 Books and articles 1
Page 396:
396 Getting started with IBM Data S
show all

Getting Started with IBM Data Studio for DB2

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?