Move to Modern Big Data and Cloud Platforms in 2017 | January Newsletter
January 31, 2017
We trust that your 2017 initiatives are off and running. By now you have probably seen your fair share of predictions for trends in the New Year. Here are a couple more based on the kinds of projects we have lined up across our customers.
ETLs Migrate to Hadoop (and Spark)
Whether leveraging their traditional data integration tools that offer Hadoop enabled extensions, or pivoting from 'closed' systems to a more open source environment (such as Hydrograph ), IT Leaders we work with recognize that they have viable options for taking advantage of the processing power of Hadoop and Spark to transform the ETL process on large datasets. Whatever your strategy, Bitwise provides the tools and expertise to help manage your ETL migration to Hadoop or Spark.
Workloads Move to Cloud
The battle of cloud providers has been heating up, and based on what we are seeing with our clients, there is little wonder why. IT Leaders we work with are reaching the conclusion that cloud platforms can offer the necessary performance and security in a way that can reduce total cost of ownership, guided by proven Governance frameworks. For enterprises, cloud offers flexibility to adapt to new technologies (such as migrating EDW workloads to Hadoop) to provide more cost effective, agile solutions for the business.
Bitwise looks forward to helping our clients realize value in their initiatives for transitioning to modern Big Data and Cloud platforms in 2017. Contact us to discuss your initiative and how we can help.
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