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lunes, 19 de agosto de 2019

domingo, 18 de agosto de 2019

Oracle Costa Rica, en busca de Consultores Funcionales

Costa Rica !!! Únete a Oracle como Consultor Funcional. Utiliza tu espíritu emprendedor y tu experiencia previa en implementación ERP para participar en nuestros proyectos estratégicos en Centro América.

Envía tu CV a maria.cristina.rey@oracle.com y a alejandra.oliva@oracle.com para ser considerado.


Cosas que se debemos conocer y tener en background, antes de ver el documental de Netflix sobre Cambridge Anatíca:

Cambridge Analytica (CA) fue una compañía privada que combinaba la minería de datos y el análisis de datos con la comunicación estratégica para el proceso electoral.

La empresa fue creada en 2013 como una rama de la casa matriz Strategic Communication Laboratories (SCL), para participar en la política estadounidense, pero también lo hicieron en otros países, con una inversión de 15 millones de dólares por parte del republicano Robert Mercer y Steve Bannon


En 2015, la empresa se reveló como la compañía de análisis de datos que trabajó para la campaña presidencial de Ted Cruz. En 2016, tras el fracaso de la candidatura de Cruz, CA trabajó para la campaña presidencial de Donald Trump.

El Parlamento Británico, vincula a la empresa trabajando con el PRO y Mauricio Macri en 2015, luego de revelar que SCL Group, nombre legal de Cambridge Analytica, elaboró una campaña anti-kirchnerista en mayo de 2015, cuando Mauricio Macri y Daniel Scioli se disputaban la presidencia de Argentina.​ Además influyó en la campaña para la retirada del Reino Unido de la Unión Europea.

Mercer es definido como un científico de la computación y director ejecutivo de Renaissance Technologies, un fondo de alto riesgo que usa algoritmos para influir en los mercados financieros, y que le ha hecho multimillonario.

Mercer comenzó a trabajar para IBM Research a finales de 1972 en el Centro Watson de Investigación de Yorktown (NY), donde desarrolló una técnica de traducción automática estadística.

Bannon es un ejecutivo de medios estadounidense, figura política, ex banquero de inversiones y ex presidente ejecutivo de Breitbart News. Se desempeñó como estratega jefe de la Casa Blanca en la administración del presidente de los Estados Unidos Donald Trump, durante sus primeros siete meses de mandato hasta el 18 de agosto 2017, cuando fue despedido.

Después de dejar la Casa Blanca, Bannon ha hecho campaña y ha ayudado a varios movimientos políticos europeos de derecha y extrema derecha. Estos incluyen el Frente Nacional de Francia,3​ la Fidesz de Hungría y la Alternativa para Alemania, entre otros.
Alternativa para Alemania, incluye en su programa electoral el rechazo al euro, a los rescates a los países periféricos y la defensa de la vuelta al marco alemán.

Además de ser un partido populista y de ultraderecha., varios de sus integrantes han hecho declaraciones que han sido calificadas de racistas​ y xenófobas.

Su defensa del nacionalismo alemán ha hecho que algunos medios hayan comparado a AfD con el neonazismo.

Ahora si, a ver el documental.

miércoles, 14 de agosto de 2019

Home Improvement Specialist Builds Better Customer Experiences with Oracle





Press Release 
Home Improvement Specialist Builds Better Customer Experiences with Oracle 
Nicaragua-based SINSA uses Oracle Retail to drive better understanding of customer needs and inventory control 

Managua, Nicaragua and REDWOOD SHORES, Calif.—Aug 14, 2019 



SINSA, the largest home improvement retailer in Nicaragua, has tapped Oracle Retail as the foundation to deliver superior customer experiences and propel growth. In business for nearly 30 years, the family-owned retailer operates 24 retail stores and wholesale properties, offering 65,000+ SKUs in 15 categories of home improvement products and services for the remodeling, construction, decoration and electrical industries. By adopting Oracle Retail technology, the Do-it-Yourself (DIY) retailer can now provide improved customer service through better inventory control. 

“Innovation is at the core of our DNA and SINSA is constantly looking at how we can improve our operations,” said Roger Vargas, continuous improvement manager, SINSA. “Our focus is to better serve the customer with improved inventory control and transition all processes to digital, which is key to gaining agility in the modern retail environment. The Oracle Retail project has been transformational, we are delivering on our vision to become more agile and satisfy our customer’s needs through a digital transformation process that starts by analyzing our processes, making adjustments and adopting a modern platform that can help us reduce risks and bring scalability to our business units as we continue to grow.” 
SINSA has four business units, with retail accounting for 75 percent of company sales, followed by project and engineering services, wholesale, and car battery distribution. The SINSA store operation has a unique style where customers can negotiate the cost of products with the sales associate. Within a specific range, the associate can offer a discount, which contributes to delivering an even more exciting and dynamic shopping experience. Customers can choose from store pick up and distribution center (DC) pick up, as well as create quotations and come on a later date to process those quotations into sales. As such, providing associates with the latest information on their buyers and store inventory is critical. 

“Retailers need to move beyond just selling what they buy and architect business processes that consider every attribute associated with items, orders, inventory and customers. When data is spread across disparate systems, customer profiles are incomplete. It is necessary for retailers to build informed workflows by mining buyer attributes to build comprehensive customer profiles. Oracle delivers a platform for modern retail that informs and executes; providing the agility companies like SINSA require to keep pace with the changing needs of their business,” said Mike Webster, senior vice president, and general manager, Oracle Retail. 

While the project is still in its early days, SINSA is already able to point to operational improvements. For example, the increased degree of detail at the item level is helping improve the efficiency of replenishment in warehousing. SINSA also reduced the wait time in stores by 33 percent using modern Point of Sale systems, which has positively impacted customer satisfaction. Through a CRM focused in retail, SINSA now has a detailed view of customer needs and can provide a personalized shopping experience. 

“Technology needs to support this dynamic environment at the store level, and our in-house system required modernization. With Oracle Retail, all associates can access transactions anywhere including on their computers or from their mobile phones,” said Edwin Gonzalez Mendoza, IT manager, SINSA. “We adapted payment options and a store operation process to fit our customer service model. The new hybrid on-premise and cloud infrastructure brought us the right combination to gain the speed and agility we needed in our business.” 

SINSA implemented Oracle Retail Merchandising System, Oracle Retail Merchandise Financial Planning, Oracle Retail Xstore Point-of-Service, Oracle Retail Customer Engagement, Oracle Retail Order Broker, and Oracle ERP Cloud with help from Oracle PartnerNetwork Platinum level partner SkillNet. SkillNet provided local resources with language capabilities, in-depth knowledge of the retail industry, and Oracle Retail solution expertise. 

Contact Info 

Kris Reeves
Oracle
+1.925.787.6744

martes, 13 de agosto de 2019

Cómo conocer el último registro ingresado en una tabla en Oracle, sin tener un campo TIMESTAMP?

A ver, una forma simple de como saber el último registro que ha sido insertado en una tabla.
Para ello vamos a crear una tabla de pruebas y vamos a ingresar algunos registros. Para que nos sirva de validación visual, crearemos una columna tipo DATE y otra con un valor de una secuencia. La tercera columna es relleno.

Connected.
SQL> drop table t;
drop table t
           *
ERROR at line 1:
ORA-00942: table or view does not exist


SQL> create table t ( fecha date, secuencia number, string varchar2(50));

Table created.

SQL> create sequence n_consecutivo;

Sequence created.

SQL> insert into t values ( sysdate, n_consecutivo.nextval, sysdate||n_consecutivo.nextval);

1 row created.

SQL> insert into t values ( sysdate, n_consecutivo.nextval, sysdate||n_consecutivo.nextval);

1 row created.

SQL> insert into t values ( sysdate, n_consecutivo.nextval, sysdate||n_consecutivo.nextval);

1 row created.

SQL> insert into t values ( sysdate, n_consecutivo.nextval, sysdate||n_consecutivo.nextval);

1 row created.

SQL> insert into t values ( sysdate, n_consecutivo.nextval, sysdate||n_consecutivo.nextval);

1 row created.

SQL> commit;

Commit complete.

Veamos el contenido de la tabla.
SQL> select * from t;

FECHA                SECUENCIA STRING
------------------- ---------- -----------------------
13-08-2019 14:58:10          1 13-08-2019 14:58:101
13-08-2019 14:58:15          2 13-08-2019 14:58:152
13-08-2019 14:58:17          3 13-08-2019 14:58:173
13-08-2019 14:58:18          4 13-08-2019 14:58:184
13-08-2019 14:58:20          5 13-08-2019 14:58:205

El método utilizando el rownum, no nos sirve de nada.

SQL> select * from t where rownum = ( select max(rownum) from t);

no rows selected

SQL> select max(rownum) from t;

MAX(ROWNUM)
-----------
          5

SQL> select * from t where rownum = 5;

no rows selected

Las seudocolumnas con información de SCN, tampoco nos sirven, porque van variando según el último cambio generado en alguno de los registros de la tabla.

SQL> select ora_rowscn,scn_to_timestamp(ora_rowscn),fecha, secuencia, string from t;

ORA_ROWSCN SCN_TO_TIMESTAMP(ORA_ROWSCN)        FECHA                SECUENCIA STRING
---------- ----------------------------------- ------------------- ---------- ---------------------
3.9824E+10 13-AUG-19 02.58.19.000000000 PM     13-08-2019 14:58:10          1 13-08-2019 14:58:101
3.9824E+10 13-AUG-19 02.58.19.000000000 PM     13-08-2019 14:58:15          2 13-08-2019 14:58:152
3.9824E+10 13-AUG-19 02.58.19.000000000 PM     13-08-2019 14:58:17          3 13-08-2019 14:58:173
3.9824E+10 13-AUG-19 02.58.19.000000000 PM     13-08-2019 14:58:18          4 13-08-2019 14:58:184
3.9824E+10 13-AUG-19 02.58.19.000000000 PM     13-08-2019 14:58:20          5 13-08-2019 14:58:205

SQL> insert into t values ( sysdate, n_consecutivo.nextval, sysdate||n_consecutivo.nextval);

1 row created.

SQL> commit;

Commit complete.

SQL> select ora_rowscn,scn_to_timestamp(ora_rowscn),fecha, secuencia, string from t;

ORA_ROWSCN SCN_TO_TIMESTAMP(ORA_ROWSCN)         FECHA                SECUENCIA STRING
---------- ------------------------------------ ------------------- ---------- ---------------------
3.9824E+10 13-AUG-19 03.02.13.000000000 PM      13-08-2019 14:58:10          1 13-08-2019 14:58:101
3.9824E+10 13-AUG-19 03.02.13.000000000 PM      13-08-2019 14:58:15          2 13-08-2019 14:58:152
3.9824E+10 13-AUG-19 03.02.13.000000000 PM      13-08-2019 14:58:17          3 13-08-2019 14:58:173
3.9824E+10 13-AUG-19 03.02.13.000000000 PM      13-08-2019 14:58:18          4 13-08-2019 14:58:184
3.9824E+10 13-AUG-19 03.02.13.000000000 PM      13-08-2019 14:58:20          5 13-08-2019 14:58:205
3.9824E+10 13-AUG-19 03.02.13.000000000 PM      13-08-2019 15:02:13          6 13-08-2019 15:02:136

6 rows selected.

Pero si utilizamos el ROWID, ahí podemos obtener la información que andamos buscando.
SQL> select * from t where rowid in(select max(rowid) from t);

FECHA                SECUENCIA STRING
------------------- ---------- ---------------------
13-08-2019 15:02:13          6 13-08-2019 15:02:136

SQL> insert into t values ( sysdate, n_consecutivo.nextval, sysdate||n_consecutivo.nextval);

1 row created.

SQL> commit;

Commit complete.

SQL> select ora_rowscn,scn_to_timestamp(ora_rowscn),fecha, secuencia, string from t;

ORA_ROWSCN SCN_TO_TIMESTAMP(ORA_ROWSCN)          FECHA                SECUENCIA STRING
---------- ------------------------------------- ------------------- ---------- ---------------------
3.9824E+10 13-AUG-19 03.04.01.000000000 PM       13-08-2019 14:58:10          1 13-08-2019 14:58:101
3.9824E+10 13-AUG-19 03.04.01.000000000 PM       13-08-2019 14:58:15          2 13-08-2019 14:58:152
3.9824E+10 13-AUG-19 03.04.01.000000000 PM       13-08-2019 14:58:17          3 13-08-2019 14:58:173
3.9824E+10 13-AUG-19 03.04.01.000000000 PM       13-08-2019 14:58:18          4 13-08-2019 14:58:184
3.9824E+10 13-AUG-19 03.04.01.000000000 PM       13-08-2019 14:58:20          5 13-08-2019 14:58:205
3.9824E+10 13-AUG-19 03.04.01.000000000 PM       13-08-2019 15:02:13          6 13-08-2019 15:02:136
3.9824E+10 13-AUG-19 03.04.01.000000000 PM       13-08-2019 15:04:02          7 13-08-2019 15:04:027

7 rows selected.

SQL>  select * from t where rowid in(select max(rowid) from t);

FECHA                SECUENCIA STRING
------------------- ---------- ---------------------
13-08-2019 15:04:02          7 13-08-2019 15:04:027

SQL>

SQL> select * from t order by rowid;

FECHA                SECUENCIA STRING
------------------- ---------- ---------------------
13-08-2019 14:58:10          1 13-08-2019 14:58:101
13-08-2019 14:58:15          2 13-08-2019 14:58:152
13-08-2019 14:58:17          3 13-08-2019 14:58:173
13-08-2019 14:58:18          4 13-08-2019 14:58:184
13-08-2019 14:58:20          5 13-08-2019 14:58:205
13-08-2019 15:02:13          6 13-08-2019 15:02:136
13-08-2019 15:04:02          7 13-08-2019 15:04:027

7 rows selected.

Que pasa si actualizamos un registro 'X' en la tabla.?
SQL> update t
  2  set fecha=sysdate
  3  where secuencia=2;

1 row updated.

SQL> commit;

Commit complete.

SQL> select ora_rowscn,scn_to_timestamp(ora_rowscn),fecha, secuencia, string from t;

ORA_ROWSCN SCN_TO_TIMESTAMP(ORA_ROWSCN)           FECHA                SECUENCIA STRING
---------- -------------------------------------- ------------------- ---------- --------------------
3.9824E+10 13-AUG-19 03.16.07.000000000 PM        13-08-2019 14:58:10          1 13-08-2019 14:58:101
3.9824E+10 13-AUG-19 03.16.07.000000000 PM        13-08-2019 15:16:08          2 13-08-2019 14:58:152
3.9824E+10 13-AUG-19 03.16.07.000000000 PM        13-08-2019 14:58:17          3 13-08-2019 14:58:173
3.9824E+10 13-AUG-19 03.16.07.000000000 PM        13-08-2019 14:58:18          4 13-08-2019 14:58:184
3.9824E+10 13-AUG-19 03.16.07.000000000 PM        13-08-2019 14:58:20          5 13-08-2019 14:58:205
3.9824E+10 13-AUG-19 03.16.07.000000000 PM        13-08-2019 15:02:13          6 13-08-2019 15:02:136
3.9824E+10 13-AUG-19 03.16.07.000000000 PM        13-08-2019 15:04:02          7 13-08-2019 15:04:027

7 rows selected.

Con la actualización no tenemos ningún problema.

SQL> select * from t order by rowid;

FECHA                SECUENCIA STRING
------------------- ---------- --------------------
13-08-2019 14:58:10          1 13-08-2019 14:58:101
13-08-2019 15:16:08          2 13-08-2019 14:58:152
13-08-2019 14:58:17          3 13-08-2019 14:58:173
13-08-2019 14:58:18          4 13-08-2019 14:58:184
13-08-2019 14:58:20          5 13-08-2019 14:58:205
13-08-2019 15:02:13          6 13-08-2019 15:02:136
13-08-2019 15:04:02          7 13-08-2019 15:04:027

7 rows selected.

SQL> select * from t where rowid in(select max(rowid) from t);

FECHA                SECUENCIA STRING
------------------- ---------- --------------------
13-08-2019 15:04:02          7 13-08-2019 15:04:027

SQL>

Software Player Parlays Oracle Autonomous Database to Speed Retail Operations

Press Release 

Supply-chain SaaS powerhouse JASCI uses latest Oracle database to supercharge processes for customers 

Redwood Shores, Calif.—Aug 13, 2019 

JASCI Software, a leader in cloud supply-chain, is leveraging Oracle’s Autonomous Database technology, continuing to innovate and scale its SaaS platform. With the world’s first self-driving database, JASCI’s enterprise customers are able to process twice as many orders at half the labor costs, which is critical to success in an industry where profit margins are razor thin. 

With Oracle Autonomous Transaction Processing, JASCI can scale and secure real-time order fulfillment processing to meet customers’ ever-growing demands for expedited and smarter order delivery. The database provides the flexibility to instantly scale up CPU and storage capacity for seasonal or spikes in demand. Additionally, JASCI is now able to allocate IT resources more strategically, enabling employees to focus on delivering supply chain expertise to customers while the database tunes, patches and upgrades itself, helping ensure security of critical customer data and availability of the system. 

Businesses need a technology platform that accelerates their supply chains–helping process orders quickly and accurately to keep up with the demanding delivery expectations of modern consumers. With Oracle Autonomous Transaction Processing running on Oracle’s next-generation cloud infrastructure, JASCI has the performance, scalability and reliability to handle huge volumes of transactions, deliver sub-second response times, and protect sensitive customer data. 

“Today’s greatest challenge is meeting customer demands for order fulfillment. Speed is no longer a luxury, but a requirement,” said Craig Wilensky, CEO, JASCI. “With Oracle Autonomous Database, we are creating a new status quo for our industry so our customers can deliver their goods faster and successfully compete in the age of next-day shipping.” 

JASCI’s all-in-one SaaS platform embeds AI into its applications to provide customers with real-time visibility into their warehouse, inventory, orders, labor and shipping. With Oracle Autonomous Database, JASCI has seen transaction times up to 100x faster, a key measurement in real-time environments. 

“Retailers need a platform that can instantly process orders to meet the demand for fastest possible delivery to their doorstep,” said Juan Loaiza, executive vice president of mission-critical database technologies, Oracle. “Oracle Autonomous Database enables companies like JASCI to grow their platform, handle trillions of transactions, and scale elastically to accommodate peak processing demands without downtime.” 

Oracle Autonomous Database builds on 40 years of experience supporting the majority of the world’s most demanding applications. Oracle Autonomous Database uses ground breaking machine learning to provide self-driving, self-repairing, and self-securing capabilities to enable customers to innovate more, pay less, and ensure the safety of their data.
 

Learn more about JASCI
Learn more about Oracle Autonomous Database
Follow Oracle Database via Blog, Facebook and Twitter

Contact Info 

Nicole Maloney
Oracle
+1.650.506.0806

lunes, 12 de agosto de 2019

Oracle Hot Topics: ORA-7445 [KAFGEX1] AFTER TTS IMPORT


Bugs

Bug
Product Area
Bug ID
Last Updated
Oracle Database - Enterprise Edition
10226927
Mon, 12 Aug 2019 08:28 GMT-06:00

Apparel Group Fuels Amazing Growth Trajectory with Oracle

Press Release 

Global fashion and lifestyle retailer streamlines operations to gain a single view of the truth, from inventory to financials 

DUBAI, UAE and REDWOOD SHORES, Calif.—Aug 12, 2019 

Global fashion retail conglomerate Apparel Group has selected Oracle to help meet its long-term strategic, financial, and operational goals. With a growing portfolio of more than 75 brands, catering for millions of customers in its 1,750 stores, Apparel Group will use Oracle technology to streamline processes across departments, to launch new brands and expand into different geographies. 
“Successful retailers need to be able to gain complete visibility across their operations, from merchandising and inventory down to financials,” said Nilesh Ved, Founder, Apparel Group. “Oracle will provide us with a single, global version of the truth and real-time view of inventory and profitability across our vast array of channels and brands. Not only will this enable us to operate smarter, but also elevate the omnichannel experience we are providing our customers.” 


Tech Mahindra, an Oracle PartnerNetwork Platinum level member, delivered an end to end implementation of Oracle Retail Merchandising Operations Management Suite integrated with Oracle Human Capital Management (HCM) Cloud and Oracle Enterprise Resource Planning (ERP) Cloud. Additionally, the Apparel Group rolled out Oracle Retail Xstore Point-of-Service and Oracle Retail Store Inventory Management in over 700 stores under the brands like Charles & Keith, Aldo, Ardene, Garage, Rituals, HEMA, Dollar Plus, and more. The Oracle Retail stores solutions will continue to be rolled out to the rest of the stores in the next couple of months. With a foundation for growth established, Apparel Group will apply the power of data science against their assortment by implementing Oracle Retail Merchandise Financial Planning, Oracle Retail Assortment Planning, and Oracle Retail Merchandising Insights. 


“Oracle provides a modern, end-to-end platform for retailers to grow and evolve. Our purpose-built solutions easily integrate across the Oracle portfolio to deliver a global competitive advantage,” said Mike Webster, senior vice president and general manager, Oracle Retail. “With our integrated or hybrid cloud solutions, retailers like Apparel Group can drive value securely and at scale.” 

Contact Info 

Kris Reeves
Oracle PR
+1.925.787.6744

jueves, 1 de agosto de 2019

GroundBreakers Tour 2019 Costa Rica: Serie Oracle Hacking Etico: 3 maneras distintas en como un DBA puede robar tu idéntidad, sin que te des cuenta




Me han aceptado una tercera charla para el Oracle GroundBreakers Tour 2019 en Costa Rica.
Esta charla que la había anunciado, la voy a dar de primero en el evento el 21 de Agosto y luego la replicaremos por redes sociales para el resto de la gente que no pueda acompañarnos ese día o que se encuentre fuera del país.
Serie Oracle Hacking Etico Capítulo #3: 3 maneras distintas, en como un DBA puede robar la idéntidad en una base de datos Oracle Enterprise Edition 19c.
La seguridad sigue siendo un desafío de tiempo completo en nuestras compañías. Cada vez más, existe información que se comparte en foros de discusión, redes sociales y blogs, de como violar la seguridad de un sistema. Cada vez más, existen carreras universitarias, que brindan el background requerido para formar Hackers que luego tomaron el camino del sombrero negro, gris o blanco. Es necesario que conozcamos las vulnerabilidades y exposiciones que sufren nuestros sistemas, para estar preparado y no sufrir un apocalipsis.
Ni la más reciente versión de base de datos Oracle, se salva. Siempre habrá una puerta trasera que podrá ser explotada.
Más info: oraugcrc.com

My Oracle Support Site Alert: Planned Maintenance to My Oracle Support Portal on Friday August 2, 2019



My Oracle Support Portal will be undergoing maintenance on Friday August 2, 2019 starting at 9:00 PM Pacific Time (Saturday August 3, 2019 at 4:00 AM GMT/UTC) and ending on Saturday August 3, 2019 at 2:00 AM Pacific Time (Saturday August 3, 2019 at 9:00 AM GMT/UTC).

During this outage, users will not be able to access this application to create or update SRs but can continue to search our Oracle Knowledge Base by going to https://support-lite.oracle.com or access our My Oracle Support Communities by going to community.oracle.com.

Please call your local Oracle Support center for any urgent issues during the outage window. You can find global Support phone numbers at our Oracle Support Contacts Global Directory.

jueves, 25 de julio de 2019

Clarificación de reglas: Release Schedule of Current Oracle Database Releases (Doc ID 742060.1)

Qué es lo que este documento o comunicado muestra?

Este documento incluye una hoja de ruta, recomendaciones de actualización y un calendario de lanzamiento junto con la información de soporte pertinente para los lanzamientos de Oracle Database (Versiones, Patch Set y Revisiones anuales). El contenido que de este documento representa la información más precisa que Oracle puede proporcionar y que es actualiza con frecuencia.

Lo que se dedica en este documento es definitivo:?

Las fechas publicadas en este documento son solo para fines de planificación y discusión. Está destinado únicamente para ayudarle a planificar sus proyectos de TI.  Las fechas no son un plan de desarrollo en firme. El lanzamiento y el calendario de cualquier plataforma están sujetos a cambios en cualquier momento y a discreción exclusiva de Oracle.

Cómo interpretar la hoja de ruta ?

La hoja de ruta es una representación visual de los modelos de lanzamiento actuales y pasados y sus correspondientes "Políticas de Soporte de por vida".
Existen tres estados posibles para los productos en este ruta de vida:

  • Premier
  • Extendido con excepción de pago adicional por soporte
  • Extendido ( con pago extra por soporte )

Los colores en el gráfico a continuación significan:

  • Soporte Premier, color azul
  • Soporte Extendido color rojo
  • Fechas de finalización de parches, color gris

Modelo de denominación de versiones y revisiones

  • (Previo a la versión 12.2) - Modelo de lanzamiento principal basado en la denominación de versiones Ejemplo: 11.2, 12.1
  • (12.2 en adelante) - Modelo de publicación anual, por ejemplo: 12.2, 18c, 19c
Recuerden que a partir de 12.2, la nomenclatura para productos cambia a un modelo anual. En el caso de 12.2 la versión base es 12.2.0.1 y revisión #1 anual 18c, revisión #2 anual 19c.

Para fines y propósitos del ciclo de vida de los productos, las versiones 18c y 19c, están debajo de la sombrilla de 12.2.

Por tanto, cuando se afirma que 12c tendrá soporte hasta el año 2026, debemos tener en claro, que no estamos hablando de los productos denominados con ese número, sino a aquellos que "se cubren" con la misma sombrilla. En este caso la versión 19c, es quién tendrá soporte extendido hasta marzo 2026.

Oracle 12c 12.2.0.1, queda sin corrección de errores y parches a partir del 20 de noviembre de 2020 y estará con soporte extendido hasta el 31 de marzo de 2023; fecha en la cuál también concluye el Soporte Premier para la versión 18c y 19c. Esta última (19c), tiene en agenda, soporte extendido hasta el 31 de marzo del 2026.

Para la versión 18c termina el soporte de correcciones el 08-Junio-2021, que corresponde a los 24 meses posteriores a la última versión liberada de esta versión a nivel de plataforma ON-PREMISE.



La última actualización de la hoja de ruta se la muestro a continuación:

jueves, 11 de julio de 2019

Historias inspiradoras en el Java Champions & Oracle Groundbreakers en Jconf Colombia


Oracle Bug Reporte


Bugs

Bug
Product Area
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Oracle Insights Help Retailers Right-Size Inventory for Every Store



Press Release 

Advanced data science and machine learning can give fashion retailers an accurate view of demand for sizes and styles across each store location 

ORACLE RETAIL CROSS TALK, Minneapolis, MN.—Jun 11, 2019 


Fast fashion retailers are under an immense amount of pressure to get their in-store product assortments allocated perfectly. While customers expect their desired styles and sizes to be in stock, retailers grapple to minimize excessive inventory and dramatic markdowns. Part of the newly launched Oracle Retail Science Platform Cloud Service, the Size Profile Science features enable retailers to tackle this problem by helping accurately predict sales to ensure they have the right inventory mix in the right locations. 

“Customer expectations are higher than ever and retailers are constantly walking a tightrope, balancing between too much of the wrong inventory and not enough of the right,” said Jeff Warren, vice president, Oracle Retail. “Predicting sales at the size and style level, with assortments changing monthly, creates an exorbitant amount of data. Oracle continues to invest in powerful machine learning and artificial intelligence-based applications that enable retailers to quickly turn that data into usable insights and an action plan when it comes to ordering.” 

For example, using the application, a beachwear retailer would be able to analyze proprietary and third-party customer or consumer fit datasets to determine what size flip-flops were top sellers in its specific markets. Combining that data with machine learning and artificial intelligence, the company would be able to understand what assortment of sizes would be needed to quickly sell at the top price in each location and minimize those sizes that would end up on the sale rack. On a million dollars of inventory, even a five percent reduction in average load would result in $50K in savings, all as a result of putting the right sized products in the right locations at the time of demand. 

Business benefits of Size Profile Science include the ability to: 

· Maintain and even decrease inventory levels necessary to drive additional revenue 
· Increase customer satisfaction by improving in-stock rates by location 
· Reduce missed sales by helping ensure optimal sizes are available at time of demand 
· Decrease workloads through intelligent alerts, exceptions and streamlined parameter setting 
· Design escalation paths to deliver accurate profiles when useful lower level data is unavailable 

“With the amount of choice the customer has today, retailers must be able to effectively understand size and fit preferences to preserve their brand equity and foster loyal shoppers. A targeted assortment plan, as well as an optimized size strategy, will maximize the sell-through of inventory at full price, enabling a significant margin increase,” said Marc Koehler, solution director at Oracle Retail. 

See Size Profile Science in action here.

Contact Info 
Kris Reeves
Oracle
+1.925.787.6744

Oracle Q4 FY19 GAAP EPS Up 36% to $1.07 and NON-GAAP EPS Up 23% to $1.16



Press Release 

Operating Income Up 3% in USD and 7% in Constant Currency 

Redwood Shores, Calif.—Jun 19, 2019 


Oracle Corporation (NYSE: ORCL) today announced fiscal 2019 Q4 results and fiscal 2019 full year results. Total Quarterly Revenues were $11.1 billion, up 1% in USD and up 4% in constant currency compared to Q4 last year. Cloud Services and License Support revenues were $6.8 billion, while Cloud License and On-Premise License revenues were $2.5 billion. Total Cloud Services and License Support plus Cloud License and On-Premise License revenues were $9.3 billion, up 3% in USD and 6% in constant currency. 

Q4 GAAP Operating Income was up 2% to $4.3 billion and GAAP operating margin was 38%. Non-GAAP Operating Income was up 4% to $5.3 billion and non-GAAP operating margin was 47%. GAAP Net Income was up 14% to $3.7 billion and non-GAAP Net Income was up 3% to $4.1 billion. GAAP Earnings Per Share was $1.07, while non-GAAP Earnings Per Share was $1.16. 

Short-term deferred revenues were $8.4 billion. Operating cash flow for fiscal 2019 was $14.6 billion. 

For fiscal 2019, Total Revenues were $39.5 billion, slightly higher in USD and up 3% in constant currency. Cloud Services and License Support revenues were $26.7 billion, while Cloud License and On-Premise License revenues were $5.9 billion. Total Cloud Services and License Support plus Cloud License and On-Premise revenues were $32.6 billion, up 2% in USD and 4% in constant currency. 

Fiscal 2019 GAAP Operating Income was $13.5 billion, and GAAP operating margin was 34%. Non-GAAP Operating Income was $17.4 billion, and non-GAAP operating margin was 44%. GAAP Net Income was $11.1 billion, while non-GAAP Net Income was $13.1 billion. GAAP Earnings Per Share increased 251% to $2.97, while non-GAAP Earnings Per Share was up 16% to $3.52. 

“In Q4, our non-GAAP operating income grew 7% in constant currency—which drove EPS well above the high end of my guidance,” said Oracle CEO, Safra Catz. “Our high-margin Fusion and NetSuite cloud applications businesses are growing rapidly, while we downsize our low-margin legacy hardware business. The net result of this shift away from commodity hardware to cloud applications was a Q4 non-GAAP operating margin of 47%, the highest we’ve seen in five years.” 

“Our Fusion ERP and HCM cloud applications suite revenues grew 32% in FY19,” said Oracle CEO, Mark Hurd. “Our NetSuite ERP cloud applications revenues also grew 32% this year. These strong results extend Oracle’s already commanding lead in worldwide Cloud ERP. Our cloud applications businesses are growing faster than our competitors. That said, let me call your attention to the following approved statement from industry analyst IDC.” 

Per IDC’s latest annual market share results, Oracle gained the most market share globally out of all Enterprise Applications SaaS vendors three years running—in CY16, CY17 and CY18. 

“We added over five thousand new Autonomous Database trials in Q4,” said Oracle Chairman and CTO, Larry Ellison. “Our new Gen2 Cloud Infrastructure offers those customers a compelling array of advance technology features including our self-driving database that automatically encrypts all your data, backs itself up, tunes itself, upgrades itself, and patches itself when a security threat is detected. It does all of this autonomously—while running—without the need for any human intervention, and without the need for any downtime. No other cloud infrastructure provides anything close to these autonomous features.” 

The Board of Directors also declared a quarterly cash dividend of $0.24 per share of outstanding common stock. This dividend will be paid to stockholders of record as of the close of business on July 17, 2019, with a payment date of July 31, 2019. 
Q4 Fiscal 2019 Earnings Conference Call and Webcast 

Oracle will hold a conference call and webcast today to discuss these results at 2:00 p.m. Pacific. You may listen to the call by dialing (816) 287-5563, Passcode: 425392. To access the live webcast, please visit the Oracle Investor Relations website at http://www.oracle.com/investor. In addition, Oracle’s Q4 results and fiscal 2019 financial tables are available on the Oracle Investor Relations website. 

A replay of the conference call will also be available by dialing (855) 859-2056 or (404) 537-3406, Passcode: 9955119.


Contact Info 

Ken Bond
Oracle Investor Relations
+1.650.607.0349

Deborah Hellinger
Oracle Corporate Communciations
+1.212.508.7935

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Optimismo para una vida Mejor
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