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Navigate your way to success – Top 10 data science careers to pursue in 2023

Data Science Dojo

Data Engineer Data engineers are responsible for building, maintaining, and optimizing data infrastructures. They require strong programming skills, expertise in data processing, and knowledge of database management.

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Why SQL is important for Data Analyst?

Pickl AI

Data Analysis is one of the most crucial tasks for business organisations today. SQL or Structured Query Language has a significant role to play in conducting practical Data Analysis. Data Analysts need deeper knowledge on SQL to understand relational databases like Oracle, Microsoft SQL and MySQL.

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Where to Find Snowflake Training Resources

phData

Snowflake’s SnowPro Advanced Certifications assess advanced Snowflake knowledge and skills relating to five data science roles. The SnowPro Advanced Administrator Certification targets Snowflake Administrators, Snowflake Data Cloud Administrators, Database Administrators, Cloud Infrastructure Administrators, and Cloud Data Administrators.

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Data Intelligence empowers informed decisions

Pickl AI

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Key Components of Data Intelligence In Data Intelligence, understanding its core components is like deciphering the secret language of information.

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Career Options after BCA – Pickl.AI

Pickl AI

Database Administrator (DBA): They are responsible for managing and maintaining databases used by organizations to store and retrieve data. They ensure data security, optimize database performance, and troubleshoot any issues that arise. Python, R).

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Star Schema vs. Snowflake Schema: Comparing Dimensional Modeling Techniques

Pickl AI

Analysts and business users can easily comprehend and interact with the schema, which simplifies the process of generating reports and performing data analysis. Star Schema’s design prioritises simplicity and performance, making it advantageous for various data warehousing and business intelligence needs.

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Beginner’s Guide To GCP BigQuery (Part 2)

Mlearning.ai

Without partitioning, daily data activities will cost your company a fortune and a moment will come where the cost advantage of GCP BigQuery becomes questionable. Using Scheduled Queries is a smart choice for regular reporting, data analysis, and other processing tasks. Creating Scheduled Queries is straightforward.

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