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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.

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Tableau vs Power BI: Which is The Better Business Intelligence Tool in 2024?

Pickl AI

Introduction Business Intelligence (BI) tools are crucial in today’s data-driven decision-making landscape. They empower organisations to unlock valuable insights from complex data. Tableau and Power BI are leading BI tools that help businesses visualise and interpret data effectively. billion in 2023.

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deepsense.ai at SQLDay

deepsense.ai

SQLDay, one of the biggest Microsoft Data Platform conferences in Europe, is set to host an insightful presentation on GPT in data analysis by Maksymilian Operlejn, Data Scientist at deepsense.ai. The presentation entitled “GPT in data analysis – will AI replace us?”

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Big Data vs Data Warehouse

Marktechpost

Flexible Structure: Big Data systems can manage unstructured, semi-structured, and structured data without enforcing a strict structure, in contrast to data warehouses that adhere to structured schemas. What is a Data Warehouse? A data warehouse’s essential characteristics are as follows.

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Top Big Data Tools Every Data Professional Should Know

Pickl AI

Statistics : BigQuery can process terabytes of data in seconds, making it a preferred choice for companies needing quick insights from large datasets. Amazon EMR (Elastic MapReduce) Amazon EMR is a cloud-native Big Data platform that simplifies running Big Data frameworks such as Apache Hadoop and Apache Spark on AWS.

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How to choose the best AI platform

IBM Journey to AI blog

AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. Major cloud infrastructure providers such as IBM, Amazon AWS, Microsoft Azure and Google Cloud have expanded the market by adding AI platforms to their offerings. trillion in value.

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18 Data Profiling Tools Every Developer Must Know

Marktechpost

Analytics, management, and business intelligence (BI) procedures, such as data cleansing, transformation, and decision-making, rely on data profiling. Content and quality reviews are becoming more important as data sets grow in size and variety of sources.