PPT-Data…Data…Data

April 19 2011 Sam Watson VP for Patient Safety and Quality MHA Keystone Center On the CUSP Stop CAUTI 1 2 CUSPCAUTI Content Call 2 The Science of Safety Moderator Sam Watson  Speaker Sean Berenholtz. x and 5x and Apache Spark x Oracle Enterprise Manager combined with Cloudera Manage r simplifies management of the entire Big Data Appliance x Advanced analytics with Oracle R directly interacting with data stored in HDFS x Handle low latency unstru S businesses 611 billi on 750Billion in 2013 dollars a year 5 of GDP TDWI Report Series 2002 Poor data quality costs the typical company at least 10 of revenue 20 is probably a better estimate DM Review 200 Gartner estimates that more than 25 of cri If just 1 byte of data has been altered the same process will generate a different string If a checksum has changed unexpectedly then you know there is an inconsistency between copies If the checksums match the data has not altered brPage 4br UK DAT Adding even more demand to rapidly integrate new data sources and applications are growing trends such as cloud and big data enabling the business to create differentiating services access new data for advanced analytics or change internal processes Data consistency Asynchronous writeback for user data Write back forced after fixed time intervals e g 30 sec Write back forced after fixed time intervals eg 30 sec Can lose data written within time interval Maintain new version of data in temporar 1 Data Integration Trends 2 Oracle Data Integrator Enterprise Edition 2 OWBEE 11gR2 Data Integration Enhancements 3 Code Template Mappings Using ODI Knowledge Modules 3 Change Data Capture Mappings Ranga Rodrigo. No.. Does the computer. know about data types?. Data Types. Computer programs manipulate data of various types, such as:. numbers, both integral and floating point, . characters, based on the ASCII code, . Chap 2: Data Analytics Lifecycle. Charles . Tappert. Seidenberg School of CSIS, Pace University. Data Analytics Lifecycle. Data science projects differ from BI projects. More exploratory in nature. Critical to have a project process. Dory Seidel and Jenna Tweedie, . NDTAC. Data Quality Overview. Why Is Data Quality Important?. Trusting your data is important for informing:. Funding and other decisionmaking . Technical assistance (TA) needs . KDE Employee Training. Data Security Video Series 2. . of 3. October 2014. Most KDE employees have access to some confidential data. Can include:. Personnel data – even its just your own. . Student Information. DH Press. Our Example Projects. These are set up in our . test . blog. .. DH Press’ . demo musicians project. , from . their supplied data . set.. Maps. Timeline. Embedded audio in popups. Grove Road. . Sentiment Analysis with HDInsight . James Beresford. Gavin Russell-Rockliff. Group Managers, Avanade. DBI222. Who am I?. ... and what am I doing here?. James. Over a decade of MS BI & DW Experience. Data Source: VHA Administrative data, USRDS ESRD Database, CMS Medicare Inpatient and Outpatient data. Statesand territories of the United States of America Figure 8.1 Distribution of Black incident ESRD veterans (%) among 85,505 incident ESRD veterans across states and territories of the United States, 10/1/2007-3/31/2014 If you\'re looking to embark on a journey to master Big Data through Hadoop, the Hadoop Big Data course at H2KInfosys is your ideal destination. Let\'s explore why this course is your gateway to Big Data success.

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