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Who is a BI Developer: Role, Responsibilities & Skills

Pickl AI

What is Business Intelligence? Business Intelligence (BI) refers to the technology, techniques, and practises that are used to gather, evaluate, and present information about an organisation in order to assist decision-making and generate effective administrative action. billion in 2015 and reached around $26.50

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Star Schema vs. Snowflake Schema: Comparing Dimensional Modeling Techniques

Pickl AI

Data Lakes Vs. Data Warehouse: Its significance and relevance in the data world. Exploring Differences: Database vs Data Warehouse. It allows for intuitive data exploration and reporting, supports complex queries, and enables users to derive meaningful insights quickly.

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Discover the Snowflake Architecture With All its Pros and Cons- NIX United

Mlearning.ai

Today, companies are facing a continual need to store tremendous volumes of data. The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. Snowflake data cloud provides IP whitelisting to restrict access to data to authorized users.

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How to Use Fivetran to Ingest Salesforce Data into Snowflake

phData

Under this category, tools with pre-built connectors for popular data sources and visual tools for data transformation are better choices. Integration: How well does the tool integrate with your existing infrastructure, databases, cloud platforms, and analytics tools? What is Fivetran?

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Maximize the Power of dbt and Snowflake to Achieve Efficient and Scalable Data Vault Solutions

phData

The implementation of a data vault architecture requires the integration of multiple technologies to effectively support the design principles and meet the organization’s requirements. The most important reason for using DBT in Data Vault 2.0 Automate and prioritize Test Driven Development (TDD) for data vault projects.

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Data science vs data analytics: Unpacking the differences

IBM Journey to AI blog

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

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Data architecture strategy for data quality

IBM Journey to AI blog

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. What does a modern data architecture do for your business?