Remove Data Analytics Remove Data Architecture Remove Data Warehouse Remove Digital Transformation
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AI at Scale isn’t Magic, it’s Data – Hybrid Data

Cloudera

Let this sink in a while – AI at scale isn’t magic, it’s data. What these data leaders are saying is that if you can’t do data at scale , you can’t possibly do AI at scale. Which means no digital transformation. Data and AI projects cost more and take longer. Data science needs analytics.

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How ATB Financial is Utilizing Hybrid Cloud to Reduce the Time to Value for Big Data Analytics by 90 Percent

Cloudera

With the right technology now in place, ATB Financial is landing and curating more data than ever to bring data-driven insights to the business and its customers. Implementing a Modern Data Architecture. Reducing Analytic Time to Value by More Than 90 Percent. Check out our customer stories.

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Visualize data quality scores and metrics generated by AWS Glue Data Quality

AWS Big Data

He is passionate about helping customers build modern data architecture on the AWS Cloud. He has helped customers of all sizes implement data management, data warehouse, and data lake solutions. Avik Bhattacharjee is a Senior Partner Solutions Architect at AWS.

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5 Data Governance Mistakes to Avoid

Alation

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed.

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Carhartt turns to data under new CIO

CIO Business Intelligence

Carhartt’s signature workwear is near ubiquitous, and its continuing presence on factory floors and at skate parks alike is fueled in part thanks to an ongoing digital transformation that is advancing the 133-year-old Midwest company’s operations to make the most of advanced digital technologies, including the cloud, data analytics, and AI.

Data Lake 128
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5 Data Governance Mistakes to Avoid

Alation

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed.

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Strategically Approaching Graph Technologies

Ontotext

Firstly, on the data maturity spectrum, the vast majority of organizations I’ve spoken with are stuck in the information stage. They have massive amounts of data they’re collecting and storing in their relational databases, document stores, data lakes, and data warehouses.