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6 Big Data Challenges and How to Overcome Each
Through collecting and analyzing large amounts of data, companies can unlock unprecedented potential, from predicting new market trends to ...
How to Interpret Enterprise Data Architecture in 2019
This equation has become more complex with the emergence of Big Data, Cloud as a Service, Data Science, Machine learning, No SQL databases, ...
Considering a Logical Data Warehouse?
In recent years the logical data warehouse concept has gained a lot of attention, but the understanding of what it really involves is ...
Overcoming Big Data Integration Challenges
The components in a Hadoop stack are focused on infrastructure and built to solve a specific set of problems. A managed data lake, for ...
Turning Data into Money
At Next Pathway we have the pleasure of helping global organizations along their data journey. We’ve observed that companies that create ...
Data-as-a-Service - Making Reliable Data Consumable
Part of the DaaS methodology is to deliver relevant data in a timely and secure manner through either public or private cloud platforms ...
Automating Big Data Management for Compliance with IFRS 9
The worldwide implementation of the new standards will occur on January 1st , 2018 but Canada will be adopting them earlier, on November ...
The Importance of Data Ingestion
The ability to harness this data to cultivate actionable insights is what innovative companies must do to effectively deliver the best ...
Converging API Management and SOA Governance to Provide Enterprise Class Solutions
Over the last few years, APIs have evolved based on advances in technology and business innovation, that has enabled conceptualizing and ...