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Data Architect: Role Description, Skills, Certifications and When to Hire

AltexSoft

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Hiring a well-skilled data architect can be very helpful for that purpose. What is a data architect? Let’s discuss and compare them to avoid misconceptions.

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Details About Data Architect Salary for 2023

Knowledge Hut

Along with the data science roles of a data analyst, data scientist, AI, and ML engineer, business analyst, etc, data architect is also one of the top roles in the data science field. Who is a Data Architect? This increased the data generation and the need for proper data storage requirements.

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Introducing Polaris Catalog: An Open Source Catalog for Apache Iceberg

Snowflake

Open source file and table formats have garnered much interest in the data industry because of their potential for interoperability — unlocking the ability for many technologies to safely operate over a single copy of data.

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The Role of Technology in Making Data-Driven Strategic Decisions

Precisely

Enterprise Challenges in 2024 and Beyond The big-picture process of building data that is accurate, consistent and contextual – or data integrity – calls for a systematic approach combining technology tools, internal change management, and a company-wide commitment to results.

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Simplify Application Development With Hybrid Tables

Snowflake

“Serving promotion treatment from Hybrid Tables reduces point lookup latency and allowed us to maintain unified governance by keeping all of that sensitive data within Snowflake,” says Rahul Jha, Senior Data Architect at William Hill. Note: Hybrid Tables is not available for free trial accounts.

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Fundamentals for Success in Cloud Data Management

Cloudera

Everybody needs more data and more analytics, with so many different and sometimes often conflicting needs. Data engineers need batch resources, while data scientists need to quickly onboard ephemeral users. Fundamental principles to be successful with Cloud data management.

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.