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• Cloud vs. legacy ERP systems: Tug of war intensifies for SMBs

  Aging legacy ERP systems at SMBs seem to be getting plenty of scrutiny these days. Heightened consumer demands, shifting technology landscapes and relentless market disruptions, not to mention maintenance costs, technical support and obsolescence, ... Continue Reading

• data warehouse

  A data warehouse is a federated repository for all the data collected by an enterprise's various operational systems, be they physical or logical. Continue Reading

• Apache Hive

  Apache Hive is an open source data warehouse system for querying and analyzing large data sets that are principally stored in Hadoop files. Continue Reading

• Good data quality for machine learning is an analytics must

  As companies add machine learning applications, they need to really understand -- and be able to improve -- their data. That's where data quality initiatives come in. Continue Reading

• The benefits of columnar storage and the Parquet file format

  What's behind Apache Parquet's growing popularity? It may be the file format's columnar storage orientation, which leads to benefits including improved query performance. Continue Reading

• Definitions to Get Started

  • data warehouse
  • Apache Hive
  • database replication
  • data quality

  • relational database
  • RDBMS (relational database management system)
  • Hadoop
  • entity relationship diagram (ERD)

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• database replication

  Database replication is the frequent electronic copying of data from a database in one computer or server to a database in another so that all users share the same level of information.Continue Reading

• Four first steps for customer data management

  Forrester's Mike Gualtieri details how to develop a unified plan to manage customer data that gives business users what they need to manage CRM programs.Continue Reading

• What are primary, super, foreign and candidate keys in a DBMS?

  Here's a guide to primary, super, foreign and candidate keys, what they're used for in relational database management systems and the differences between them.Continue Reading

• Three factors for protecting sensitive data in the GDPR era

  Data privacy is a hot topic nowadays thanks to GDPR and the Facebook data scandal. But how do data security, access control and data protection differ?Continue Reading

• What's the difference between DDL and DML?

  What's the difference between DDL and DML? Get the answer and see examples of data manipulation language and data definition language commands for SQL databases.Continue Reading

• What goes into a customer analytics data integration framework

  Customer data integration is a minefield for IT teams to navigate. But incorporating a set of core technical functions into an integration architecture can ease the process.Continue Reading

• Google Cloud data lake fuels cloud payment processing flow

  To create a cloud payment processing system, Global Payments first had to deploy a data lake in the Google Cloud. Getting quick user feedback was another early step.Continue Reading

• Develop smart AI in CRM strategies to win and keep customers

  Of the three words that comprise customer relationship management, one word binds the other two. As necessity and competition dictate that CRM upgrade itself with artificial intelligence and flights to the cloud, what counts most in ...Continue Reading

• data quality

  Data quality is a perception or an assessment of data's fitness to serve its purpose in a given context.Continue Reading

• GDPR compliance requirements drive new winds of data privacy

  Hello, GDPR. May 25 is the witching hour for enforcement of the EU's much-discussed GDPR compliance requirements -- and it's a harbinger of more changes to come.Continue Reading