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3 Use Cases for Generative AI Agents

DareData

At DareData Engineering, we believe in a human-centric approach, where AI agents work together with humans to achieve faster and more efficient results. In this blog post, we'll delve into some of our project portfolio in the Generative AI space and understand how we are deploying GenAI at our customers.

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A Day in the Life of a Data Scientist

Knowledge Hut

In their quest for knowledge, data scientists meticulously identify pertinent questions that require answers and source the relevant data for analysis. Beyond their analytical prowess, they possess the ability to uncover, refine, and present data effectively.

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Solutions Architect Job Roles in 2024 [Career Options]

Knowledge Hut

Data Solutions Architect Role Overview: Design and implement data management, storage, and analytics solutions to meet business requirements and enable data-driven decision-making. Role Level: Mid to senior-level position requiring expertise in data architecture, database technologies, and analytics platforms.

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How JPMorgan uses Hadoop to leverage Big Data Analytics?

ProjectPro

With more than 150 petabytes of data, approximately 3.5 billion user accounts and 30,000 databases, JPMorgan Chase is definitely a name to reckon with in the financial sector. JP Morgan has massive amounts of data on what its customers spend and earn. ”-said Lee McGinty, Head of European Portfolio at JPMorgan.

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5 Reasons to Learn Hadoop

ProjectPro

5 Reasons to Learn Hadoop ​ Hadoop brings in better career opportunities in 2015 Learn Hadoop to pace up with the exponentially growing Big Data Market Increased Number of Hadoop Jobs Learn Hadoop to Make Big Money with Big Data Hadoop Jobs Learn Hadoop to pace up with the increased adoption of Hadoop by Big data companies Why learn Hadoop?

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Hadoop vs Spark: Main Big Data Tools Explained

AltexSoft

MapReduce performs batch processing only and doesn’t fit time-sensitive data or real-time analytics jobs. Data engineers who previously worked only with relational database management systems and SQL queries need training to take advantage of Hadoop. Data storage options. Data management and monitoring options.

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NoSQL vs SQL- 4 Reasons Why NoSQL is better for Big Data applications

ProjectPro

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. RDBMS is not always the best solution for all situations as it cannot meet the increasing growth of unstructured data.

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