Contributor: Philip Russom
        
Philip Russom, Ph.D., is  director of TDWI Research for data management and oversees many of TDWI’s  research-oriented publications, services, and events. Before joining TDWI in  2005, Russom was an industry analyst covering BI at Forrester Research, Giga  Information Group, and Hurwitz Group. He also ran his own business as an  independent industry analyst and BI consultant and was a contributing editor  with leading IT magazines. Before that, Russom worked in technical and  marketing positions for various database vendors.
 
 
All articles by Philip Russom
        
     
        
                    
                
                
	                
                    
                                        
		            
                    As data's sources, structures, latencies, and business use cases evolve, we need to modernize how we design, deploy, use, and govern data hubs.
                    
			            - By Philip  Russom
 - September 9, 2019
 
		            
		            
                
                    
                    
                    
                 
            
                
	                
                    
                                        
		            
                    To manage geographically distributed data at scale worldwide, global organizations are turning to cloud and hybrid deployments.
                    
			            - By Philip  Russom
 - July 26, 2019
 
		            
		            
                
                    
                    
                    
                 
            
                
	                
                    
                                        
		            
                    New requirements for data, software, and business practices are driving a new wave of modernization for the operational data warehouse.
                    
			            - By Philip  Russom
 - June 7, 2019
 
		            
		            
                
                    
                    
                    
                 
            
                
	                
                    
                                        
		            
                    Traditional data quality best practices and tool functions still apply to big data, but success depends on making the right adjustments and optimizations.
                    
			            - By Philip  Russom
 - April 19, 2019
 
		            
		            
                
                    
                    
                    
                 
            
                
	                
                    
                                        
		            
                    Early adopters of the data lake have arrived at a maturation stage where they need to modernize their platforms before expanding their implementations.
                    
			            - By Philip  Russom
 - March 15, 2019
 
		            
		            
                
                    
                    
                    
                 
            
                
	                
                    
                                        
		            
                    Tool automation and intelligence are replacing manual technical tasks with immediate business results.
                    
			            - By Philip  Russom
 - January 11, 2019