PPT-Teradata Columnar: A new standard for Columnar databases

Source Teradata is thinking Big Stephen Swoyer Presented by Deesha Phalak and Kaushiki Nag Summary Teradata Corporation introduced Teradata Columnar that integrates columnar and rowbased tables. Hybrid Columnar Compression Technology Overview Warehouse Compression Archive Compression Storing column data together with the same data type and similar characteristics drastically increases the storage savings achieved from compression 2UDFOH57526V57347DGDWD57347EULG57347ROXPQDU57347RPSUHVVLRQ57347573555735657347XWLOLHV a combination DrHelmertStr 23 14482 Potsdam Germany hassoplattnerhpide ABSTRACT Five years ago I proposed a common database approach for transactionprocessingandanalyticalsystemsusingacolum nar inmemory database disputing the common belief that column stores are n This short note propose a data compression method that reuses traditional on disk tree stru tures with only minor changes yet achieve storage density and scan performance comparable to sp ecialized colu m nar designs The advantage of the proposed me Columnar day books. Learning objectives. After you have studied this chapter, you should be able to:. Explain why organisations use columnar day . books. Decide which basis is to be used for the selection of analysis columns for columnar day . Kinocilia. . Simple Columnar Epithelium with . Kinocilia. . (higher magnification). Pseudostratified. Columnar Epithelium with . Stereocilia. . Tongue. Esophagus – Stratified Squamous Epithelium. Stomach – Simple Columnar Epithelium. Small . Intestine – Simple Columnar. Colon – Simple Columnar. Liver – Glandular Epithelium. Pancreas – Glandular Epithelium. columnar-lined oesophagus eport of the Working Party of August 2005Designed, Typeset and Printed by 28 Editors Tissues of the human body . Epithelial Tissues. The lining, covering and glandular tissue of the body. . Functions include: . Protection. . Absorption. . Filtration. . Secretion. . Simple . Squamous. Bigtable. Column- Oriented Database. What is a column-oriented database?. Why is it better than a row-oriented database?. When isn’t it better?. What do I need to know to use it?. How will I need to change my application code?. Can’t make the trip to Atlanta? Get the second best seat to Teradata PARTNERS, the premier, customer-led global data conference for advanced data, analytics, and industry experts looking to extract more value from their data. . CPIS 312 . Lab 3 . 1. Classical Encryption. TRIGUI Mohamed Salim. Students will learn how Columnar algorithm works. . Students will try to apply Columnar algorithm practically and they will be able to know how each letter is encrypted using different key.. Xe+trymethilamine. Mixtures using a . Micromegas. -TPC. D. C. Herrera, on behalf of the Zaragoza group. Universidad de Zaragoza, Spain . in . c. ollaboration with Lawrence Berkeley Lab, USA. TIPP Conference. Testis and epididymis.. 2. Vas deferens.. 3. Seminal vesicles.. 4. Prostate.. TESTIS. Formed of:. Note:. The Exocrine part of the parenchyma is . Seminiferous tubules. The Endocrine part of the parenchyma is .