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Platforms and tools Organizations often rely on advanced tools such as Apache Hadoop and Apache Spark to streamline data handling. Innovations on the horizon Anticipated advancements include: AI and machine learning: These technologies are expected to further improve data analysis capabilities.
AI and ML in action: Auto-suggestions streamline the buildout of business glossaries. Automated Data Orchestration (AKA DataOps). DataOps is the leading process concept in data today. See Gartner’s “ How DataOps Amplifies Data and Analytics Business Value ”). We’ve arrived at the top layer of the fabric!
We’re constantly diving into our customer’s challenges and finding innovative ways to help solve them through custom data and AI solutions, often centered around Snowflake. Through our work, phData has boasted a 98 percent average renewal rate for phData Elastic Operations, DataOps, and MLOps.
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