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Becoming a Data Engineer: 7 Tips to Take Your Career to the Next Level

Data Science Connect

In this blog post, we will be discussing 7 tips that will help you become a successful data engineer and take your career to the next level. Learn SQL: As a data engineer, you will be working with large amounts of data, and SQL is the most commonly used language for interacting with databases.

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Why using Infrastructure as Code for developing Cloud-based Data Warehouse Systems?

Data Science Blog

In the contemporary age of Big Data, Data Warehouse Systems and Data Science Analytics Infrastructures have become an essential component for organizations to store, analyze, and make data-driven decisions. So why using IaC for Cloud Data Infrastructures?

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Best Used Servers for Databases and Cloud Computing

Smart Data Collective

Investing in the Best Servers for Cloud Computing. Organizations that need servers for their databases or cloud computing can’t just go out and buy the first option that presents itself, though. What to look for in a server to meet your cloud computing needs. MS SQL Server. Server configuration.

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

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TigerEye (YC S22) Is Hiring a Full Stack Engineer

Hacker News

Here are a few of the things that you might do as an AI Engineer at TigerEye: - Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ sales teams - Own training, integration, deployment, versioning, and monitoring of ML components - Improve TigerEye’s existing metrics collection and (..)

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Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field. Data scientists use algorithms for creating data models. These data models predict outcomes of new data. Data science is one of the highest-paid jobs of the 21st century.

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How to Optimize Power BI and Snowflake for Advanced Analytics

phData

Snowflake is a cloud computing–based data cloud company that provides data warehousing services that are far more scalable and flexible than traditional data warehousing products. The June 2021 release of Power BI Desktop introduced Custom SQL queries to Snowflake in DirectQuery mode.