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Technology of Data Analytics. INTRODUCTION OBJECTIVE  Data Analytics mindset – shallow and wide, deep when you need it  Quick overview, useful tidbits,

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Presentation on theme: "Technology of Data Analytics. INTRODUCTION OBJECTIVE  Data Analytics mindset – shallow and wide, deep when you need it  Quick overview, useful tidbits,"— Presentation transcript:

1 Technology of Data Analytics

2 INTRODUCTION OBJECTIVE  Data Analytics mindset – shallow and wide, deep when you need it  Quick overview, useful tidbits, provide a jumping off point AGENDA/ TOPICS  Excel  VBA  Access  SQL  Tableua  Hadoop  Analytical Packages: R/ SAS/ SPSS/ Minitab

3 SQUARE 1 Business and Technology  Entity  Attributes  Schema  Relational Database  ETL - Extract Transform Load  Data Mining

4 START WITH EXCEL  It’s the easiest and most available platform  Can teach others to maintain Collect Data Validation Drop Downs Store vLookups Analyze Formulas If, And Pivot Table Report/ Visualize Charts Conditional Formatting Offset

5 VISUAL BASIC FOR APPLICATIONS Microsoft language Object Oriented- noun.verb; noun.adjective=“adjective” Record macro and play around Modules and Userforms Cell Referencing - cells(x,y).select For loop – for index = startingnumber to ending number If logicalstuff then stuff that happens end if Use it for: Moving data Changing charts

6 GOOGLE DOCS: COLLECTION  Somebody already did everything for you  Google people are smarter than you  You can use the interwebs: instead of local drive

7 ACCESS  Beginning of databasing Table Like Excel spreadsheet Tightly defined values allowed View Pulling info from tables using logic A lasting query that is used to populate reports Form Data input Report Generates reports

8 SQL  Big Boy Access  Same as Access without the bumpers and hand holding  Real deal use in software world  Can be used for maintenance and diagnosing software back ends Table Like Excel spreadsheet Tightly defined values allowed View Pulling info from tables using logic A lasting query that is used to populate reports Query Viewing data Stored Procedures Loading and moving data I don’t really know SRS Web based reports

9 TABLEAU  Connections  Worksheets  Views  Dashboards  Stories

10 HADOOP  Virtualizes multiple computers/ servers to create a cloud computing unit  Hadoop Common – contains libraries and utilities needed by other Hadoop modules.  Hadoop Distributed File System (HDFS) – a distributed file-system that stores data on commodity machines, providing very high aggregate bandwidth across the cluster.  Hadoop YARN – a resource-management platform responsible for managing compute resources in clusters and using them for scheduling of users' applications.  Hadoop MapReduce – a programming model for large scale data processing.  Get started at:

11 Analyze: SAS/ R/ SPSS/ Minitab S.A.S. Academic/ Common R Open source S.P.S.S IBM Minitab Analytical Excel

12 Other  iTunes U: Data Visualization  CoursEra: Introduction to Data Science  Code Academy: other programming languages

13 EDUCATION PROJECTS Open Source Education – BDAA Book of Knowledge  Stats Cheat Sheet  Excel Guide  SQL Guide  How to Guides in General….


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