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- ETL
- Comparison - Datastage vs Informatica
- Jitterbit - Open source ETL tool review
- Talend Open Studio - Open source ETL tool review
- Pentaho Kettle - Open source ETL tool review
- Leading Open source ETL tools
- ETL process best practices
- ETL performance optimization tips
- Challenges for Real time ETL
- Four layered ETL architecture design
- ETL - Data warehousing project life cycle
- Real-life execution ETL life cycle
- Where does ETL fits in Data Warehousing?
- Mining
- Difference: Text mining vs Data mining
- Text Analytics - Tools & Techniques
- Text mining applications & Uses
- Text mining software - Commercial & Open source tools
- BioNLP - Biomedical text mining
- History of Text Data mining
- What is text mining?
- Purpose of data mining
- Microarray data mining - Challenges & Future
- OLAP
ETL Tools
- SSIS Tutorial
- SSIS best practices - Use logging only where it is necessary
- SSIS best practices - Use partitionaing feature
- SSIS best practices - Perform tasks ONLY where it performs better
- SSIS Optimization - Optimum use of data types
- SSIS Optimization - Adjust the packet-size
- SSIS Optimization - Source & Destination connections, Lookup transformation
- SSIS best practices - Baselining source extract speed
- SSIS best practices - Optimum resource utilization
- SSIS best practices - Fitting transformations in memory
- Informatica
- IBM Datastage
- Datastage performance tuning tips
- Debugging DataStage parallel jobs
- Handling external reference tables in datastage
- Programatically generating sequential keys in Datastage
- Generating Sequential Keys in Datastage
- Clearing user record locks in Universe Database in Datastage
- Datastage best practices - Job design TIPS
- Abinitio tutorial
- Pentaho Kettle
- What is business intelligence(BI)?
- What is data warehouse?
- What is data mining?
- What is ETL process?
- Who are top BI vendors?
- Define: Facts, Dimensions table
- What is data modeling?
- What is star schema?
- What is snowflake schema?
- What are BI scorecards?
- Difference: OLTP vs OLAP
- Difference: KPI vs Dashboard
- Difference: Dashboard vs Scorecard
- Database vs Data Warehouse
- Data warehousing vs Data mining
- Data warehouse vs Datamart
- Star schema vs Snowflake schema
- Analytics Vs Data mining
- What is the use of BI & DW technologies?
Meta Menu
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- OLAP Jargons
- Aggregate or Consolidate or Roll-ups - Definition & meaning
- Calculated Member - Definition & meaning
- Cell or Member Combination - Definition & meaning
- Children - Definition & meaning
- Cross Dimensional - Definition & meaning
- Dense - Definition & meaning
- Derived Data or Pre-calculated data - Definition & meaning
- Dimension - Definition & meaning
- Drill down / Drill up - Definition & meaning
- Formula - Definition & meaning
- Level - Definition & meaning
- Member - Definition & meaning
- Multi-dimensional Array, Cube, Hypercube - Definition & meaning
- Multidimensional Analysis - Definition & meaning
- Multidimensional Query Language - Definition & meaning
- OLAP Client - Definition & meaning
- OLAP Server - Definition & meaning
- Page Dimension - Definition & meaning
- Page Display - Definition & meaning
- Parent - Definition & meaning
- Pivot or Rotate - Definition & meaning
- Scoping - Definition & meaning
- Selection - Definition & meaning
- Slice - Definition & meaning
- Slice and Dice - Definition & meaning
- Sparce - Definition & meaning
- BI news archive
- Oracle unveils finance data warehouse
- Jaspersoft rearchitects BI stack
- Self-service BI, SaaS, real-time analytics will dominate 2011 agenda
- Emerging tech: Business intelligence apps go mobile
- IBM adds assessment tools to data center service offerings
- Data analytics requirements push database tech to limits
- Sybase IQ updated for parallel processing
- Researchers turn to data analytics tools to help stroke victims
- Microsoft's Bob Muglia details cloud strategy
- Q&A on Emerging Tech: Analyzing the Voice of Your Customer
- Planned Netezza deal further defines IBM's analytics plans
- SAP rolls out real-time business analytics apps
- BI firm takes iPads over laptops
- SAP partner launches cloud-based mobile app service
- SAS rolls out predictive analytics for business users
- Agile Meets Integration at TDWI Conference
- Cloud computing offers speedy path to business innovation, report says
- Under the Hood of Oracle's Revamped BI Suite
- An Imperative to Build, Not Buy, Agile BI
- JReport 10 Enhances Agile BI with Rich Visualization
- Memphis cops use predictive analytics to fight crime
- Quantivo 4 Enables One-step Query Analysis to Behavioral Marketing
- DePaul University to offer grad degree in predictive analytics
- Harnessing the Power of PowerPivot in the Enterprise
- Q&A: Creating a More Agile Organization
- BI Trends: LyzaSoft Champions Social Media
- Top Tips for Effective DI
- Indianapolis launches $16M ERP project
- IBM Embraces MapReduce for Big Data Analytics
- Attivio Releases Active Intelligence Engine 2.1
- Berners-Lee explains his 'linked open data' idea
- Composite Software Updates Data Virtualization Platform
- SAP quiet on its plans for Sybase
- Strategies for Organizing Business Analysts
- Understanding Kalido's Diversity
- Rapidly Expanding Birst Partner Program Delivers New Source of Easy-to-Deploy : BIS
- SAP to Acquire Sybase, Inc.
- IBM points predictive analytics at social Web
- Sharp stock market drop likely human, computer error
- Making the Case for Agile BI
DW Guide
- Fundamentals
- Difference: OLAP system Vs. BI Vs. Decision Support Systems
- Operational Daata Store(ODS) Vs. Data mart Vs. Data warehouse
- Dimension modeling and Data normalization
- Fundamentals - Types of data modeling
- Fundamentals - What is data profiling?
- Legacy systems vs OLTP systems
- DW fundamentals - Types of Data Marts
- Data warehouse Vs. Data warehousing Vs. Enterprise datawarehouse
- Fundamentals - Building blocks of Data WareHousing
- Architecture
- Data modeling
- ETL Process
- Management
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