Building an Enterprise Data Lake for Enterprise Data-as-a-Service

June 5-6, 2019 | Italy

Building an Enterprise Data Lake for Enterprise Data-as-a-Service aims to provide the opportunities to attendees to learn how to define a strategy for producing trusted data as-a-service in a distributed environment of multiple data stores and data sources, How to organise data in a centralised or distributed data environment to overcome complexity and chaos How to design, build, manage and operate a Logical distributed or centralised Data Lake within their organisation, How data standardisation and business glossaries can help make sure data is understood, What technologies and implementation methodologies they need to get their data under control

Spotlight

In this video, we will discuss a data analyst's day-to-day responsibilities, including data collection, cleaning, analysis, and visualization. We'll also be discussing the tools and technologies commonly used by data analysts, such as Excel, SQL, and Python.


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Spotlight

In this video, we will discuss a data analyst's day-to-day responsibilities, including data collection, cleaning, analysis, and visualization. We'll also be discussing the tools and technologies commonly used by data analysts, such as Excel, SQL, and Python.

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