There exists a viewpoint that big data has achieved maturity. From my perspective, there is still room to grow. Traditional data management and data integration approaches continue to undergo changes that are disrupting and altering product offerings, or resulting in entirely new product offerings. Big data oriented analytic use cases are evolving rapidly, which will … Continue reading “Why Big Data Is Still In Its Adolescence!”Read More..
As reliance on Hadoop and Spark grows for data management, processing and analytics, data integration strategies should evolve to exploit big data platforms in support of digital business, Internet of Things (IoT) and analytics use cases. While Hadoop is used for batch data processing , Spark supports low-latency processing. Integration leaders should understand the various … Continue reading “Five Patterns of Big Data Integration”Read More..
What are some useful features that would benefit users of self-service data preparation offerings? Here is my list: Tighter integration with Business Intelligence tools; the BI user should be able to drill down into the Data Preparation pipeline from BI tools to further understand the underlying transformations and explore the data. Scalability of the infrastructure … Continue reading “My perspective on features that would benefit self-service data preparation”Read More..