An index is an additional database structure which has the purpose of improving read performance at the cost of extra storage. For more details abo...
What does a Data Engineering team do? Building big data intensive applications consists in permanently pushing the boundaries of what is possible. A Data Engineering Team provides the building block of your company’s data strategy, allowing you to design consistent data architecture and fully capitalize on your data resources.
We focus on practical applications of data collection, transformation and validation needed for analysis, building the platforms that enable Data Scientists to develop AI models and do their magic.
Our Data Engineering team works with Python, Spark, Hive, MapR, AWS EMR, Dask, Airflow, PostgreSQL, ELK Stack, and is constantly assimilating new and emerging technologies.
Our Data Engineering Services offer a holistic approach, helping our clients turn data into business value through:
We consult with you, discuss all outcomes for your projects. We propose enhancements to your existing data infrastructure. We build production-ready data-intensive solutions
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