PPT-Data

Shuffling for Protecting Confidential Data A Software Demonstration Rathindra Sarathy and Krish Muralidhar Oklahoma State University Stillwater OK 74078 USA rathinsarathyokstateedu . Is your company using big data to develop innovative products and services and to improve business operations As data volumes continue to grow they quickly consume the capacity of data warehouses and application databases Is your IT organization for 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 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 You can use it to enter new data edit existing data and edit attributes of the data in the dataset such as variable names labels and display formats as well as value labels In addition to the view of the data there are two windows for manipulating v Big Data Connectors greatly simplify development and are optimized for efficient connectivity and high performance between Oracle Big Data Appliance and Oracle Ex adata Oracle Big Data Connectors 30 delivers a rich set of new features increased con 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 . Data 1 Data 0 Data 0 Data 1 Data 0 Data 1 Data 0 Data 1 Shunt RelayDoor 2 (NC) Shunt RelayDoor 1(NC) What are the components?. A scientifically trained person who explores all the dimensions of the data in an open ended way far better than a computer scientists elegant algorithmic approach; better at writing data exploration and representation code than any discipline based scientist. 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. The data is usually described as a certain type. This type determines what you can do with the data and how the data is stored. In Python basic types are integers (. int. ), floating point (float), strings and Booleans. 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