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
        
     
        
                    
                
                
	                
                    
                                        
		            
                    The leading 2016 trends included Hadoop adoption, data lakes, and data warehouse modernization.  In 2017 we'll see new activity around the SQL-ization of Hadoop, orchestrated data hubs, and managing IoT sensor data.
                    
			            - By Philip  Russom
 - December 16, 2016
 
		            
		            
                
                    
                    
                    
                 
            
                
	                
                    
                                        
		            
                    Big data presents significant business opportunities when leveraged properly. When poorly governed or managed, big data presents significant business and technology risks.
                    
			            - By Philip  Russom
 - December 2, 2016
 
		            
		            
                
                    
                    
                    
                 
            
                
	                
                    
                                        
		            
                    In some emerging best practices, a free-form data lake implemented on Hadoop complements a structured relational data warehouse.
                    
			            - By Philip  Russom
 - November 3, 2016
 
		            
		            
                
                    
                    
                    
                 
            
                
	                
                    
                                        
		            
                    New practices such as self-service data prep, exploration, and discovery don't work well (or at all) without new ways of making data more accessible.
                    
			            - By Philip  Russom
 - September 14, 2016
 
		            
		            
                
                    
                    
                    
                 
            
                
	                
                    
                                        
		            
                    To overcome barriers and get started with big data and Hadoop, you need the right business case, the right training, and a good starting point.
                    
			            - By Philip  Russom
 - June 30, 2016
 
		            
		            
                
                    
                    
                    
                 
            
                
	                
                    
                                        
		            
                    Evolving approaches to analytics and data management are driving users toward the data lake as a new way of managing certain data.
                    
			            - By Philip  Russom
 - June 10, 2016