Statistical Engine Type of processing Sample Clauses

Statistical Engine Type of processing. Processing method 1. Batch Processing; executing a series of programs every time inter- val, technology suggested - R software. 2. Stream Processing; processing computations parallel in memory, enables real time analytics, technology suggested - Spark Stream- ing software web application framework. 3. Hybrid Processing; combining Batch and Stream processing 6 Optimizer We will produce the optimal results according to our WP2 partners’ spec- ifications. Table 3 expands on the possible methods mentioned above in respect to the four industrial scenarios we have identified earlier. H2020-SPIRE-2014 DISIRE Table 3: Possible Technologies by Module and Scenario # Module Task Small Data; Non-Real Time Small Data; Real Time Big Data; Non-Real Time Big Data; Real Time 2 Sensor Data Files Data acquisition "Pull Based" approach "Push Based" approach "Pull Based" approach "Push Based" approach Storing sensor’s files in the hard drive in the hard drive Distributed data store in the SSD or in the RAM Eliminating re- dundancy Usually not needed filtration might be needed filtration and compression need to be consider filtration and compression need to be consider 3 Organization and preparation of the data Preparation of the data Using the entire row- data Using the entire row-data using the entire row-data or Aggregate the data need to be consider using the entire row-data or Aggregate the data need to be consider Organization of the data ETL programming ETL programming or Ob- ject oriented programming need to be consider ETL programming ETL programming or Ob- ject oriented programming need to be consider 4 Sensor Database Type of data- base RDBMS RDBMS Distributed data store Distributed data store 5 Statistical Engine Type of pro- cessing Batch Processing Stream Processing or Hy- brid Processing Batch Processing Stream Processing or Hy- brid Processing 6 Optimizer H2020-SPIRE-2014 DISIRE In the previous two sections we have introduced the basic framework that we will use as a starting point in discovering the optimal solutions in our WP. As mentioned earlier this archi- tecture must be robust in handling the various types of data we have encountered in the indus- try with our DISIRE partners. In some of the cases we have seen that historical data is kept and stored for future use while in other cases the streaming data is disregarded soon after it has been used. Our prototype is planned to be generic enough to include both cases. H2020-SPIRE-2014 DISIRE
Sample 1
AutoNDA by SimpleDocs

Related to Statistical Engine Type of processing

  • Statistical Sampling Documentation a. A copy of the printout of the random numbers generated by the “Random Numbers” function of the statistical sampling software used by the IRO.

  • Details of Processing 3.1. For details of how personal data is processed under this Agreement, please register to see our "GDPR Portal" at xxxxx://xxxxxx- xxxxxxx.xxxxx.xxx/Xxxxxxx/x/xxxx-xxx. You may also request a copy of the Product Fact Sheet from Your Access Account Manager.

  • Scope of Processing The subject-matter of Processing of Personal Data by Okta is the performance of the Service pursuant to the Agreement. The duration of the Processing, the nature and purpose of the Processing, the types of Personal Data and categories of Data Subjects Processed under this DPA are further specified in Appendix 1 to this DPA.

  • SUBMISSION OF THE MONTHLY MI REPORT 4.1 The completed MI Report shall be completed electronically and returned to the Authority by uploading the electronic MI Report computer file to MISO in accordance with the instructions provided in MISO.

  • Selection of projects and financial parameters 4.1 Open calls and availability of funds (including number of calls, duration of calls, and estimated size):

  • Statistical Analysis 31 F-tests and t-tests will be used to analyze OV and Quality Acceptance data. The F-test is a 32 comparison of variances to determine if the OV and Quality Acceptance population variances 33 are equal. The t-test is a comparison of means to determine if the OV and Quality Acceptance 34 population means are equal. In addition to these two types of analyses, independent verification 35 and observation verification will also be used to validate the Quality Acceptance test results.

  • Demographic, Classification and Wage Information XXXXXX agrees to coordinate the accumulation and distribution of demographic, classification and wage data, as specified in the Letter of Understanding dated December 14, 2011, to CUPE on behalf of Boards of Education. The data currently housed in the Employment Data and Analysis Systems (EDAS) will be the source of the requested information.

  • Statistical Information Any third-party statistical and market-related data included in the Registration Statement, the Time of Sale Disclosure Package and the Prospectus are based on or derived from sources that the Company believes to be reliable and accurate in all material respects.

  • Sector Sub-Sector Industry Classification Level of Government Type of Obligation Description of Measure Source of Measure All sectors : : - : Central : National Treatment Senior Management and Board of Directors : National Treatment and the Senior Management and Board of Directors obligations shall not apply to any measure relating to small and medium sized domestic market enterprise2. Foreign equity is restricted to a maximum of 40% for domestic market enterprises with paid-in equity capital of less than the equivalent of USD 200,000 Note: Members of the Board of Directors or governing body of corporation or associations shall be allowed in proportion to their allowable participation or share in the capital of such enterprises. : -1987 Constitution of the Republic of the Philippines. - Foreign Investments Act of 1991 (R.A. No. 7042, as amended by R.A. No. 8179). -Presidential and Administrative Issuances. ∞ 2 The concept of a small and medium sized domestic market enterprise is an enterprise with paid in equity capital of less than the equivalent of USD 200,000.00.

  • Statistics 1. Each Party shall provide to the other Party statistics that are required by domestic laws and regulations, and, upon request, other available statistical information as may be reasonably required for the purpose of reviewing the operation of the air services.

Time is Money Join Law Insider Premium to draft better contracts faster.