Your team is struggling to adapt to a new data environment. What can you do to help them?
Data engineering is a fast-paced and dynamic field that requires constant learning and adaptation. Whether you are migrating to a new platform, integrating new sources, or implementing new pipelines, you may face challenges and uncertainties that affect your team's performance and morale. How can you help your team overcome these difficulties and thrive in a new data environment? Here are some tips to consider.
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Axel SchwankeSenior Data Engineer | Data Architect | Data Science | Data Mesh | Data Governance | 4x Databricks certified | 2x AWS…
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Dilip SaindarData Engineer | Certified in Snowflake | Google cloud ?? | Big data| Big query| Cloud Dataflow | Snowflake| DBT |Azure…
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Astikar Vivek KumarLinkedin Top Data Engineering Voice | @Google @Microsoft Certified | Magma M Scholar | @Data Maverick | Building the…