"Hi Jason,Hope you're doing fine please go thourgh the below requirement for a contract oppurtunity.. If interested please reply with your updated resume and contact details please.. Email ID : email@example.comPosition …"
Hi Jason, Hope you're doing fine please go thourgh the below requirement for a contract oppurtunity.. If interested please reply with your updated resume and contact details please.. Email ID : firstname.lastname@example.org Position : Oracle Apex developer Position OPEN until 10th of Feb 2011 Location: NEW YORK, NY Duration: 6 months Rate : Mention least workable rates please Skills Set : • Oracle Application Express development – Minimum 3 years • Experience in converting MS Access application to Oracle Application Express/Oracle Database – Minimum 3 years • Strong PL/SQL working knowledge - Minimum 5 years • Oracle BI Publisher - Minimum 2 Years • Knowledge of Java Script • Exposure to HTML development • Relational Database schema design – Minimum 4 Years • Manipulation of MS Access and MS Excel • Report development using Oracle Discoverer • Development of reports using SAS statistical software Warm Regards, Dinesh Chegoni Innosense Solutions Inc Direct : 773-741-6400 Email : email@example.com Web : www.innosensesolutions.com Yahoo IM : dinesh.recruiter
I'm not a fan of advertising, and so I will not be including any advertisements on OracleCommunity.net. However, managing this community does not come without cost! If you are willing to donate to help pay for the monthly community fees and domain services I accept Bitcoin and PayPal donations.
SQL data table and esProc TSeq(Table Sequence) are all the structured 2-dimensional data objects. The records, indexes, and primary keys can all be applied to the structured data computing. Although both of them can be applied to the structured data computing, their application scenarios differ distinctly. TSeq is fit for solving the complex computing problem involving not-so-big data volume, while data table is fit for the common computation involving possible big data volume.