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How Snowflake Native Apps Help DTCC Bring Hypothetical Market Scenarios to Customers

Snowflake

As part of our commitment to the industry, we run quantitative “what if” models and analyses on client portfolios to accurately project the associated risk to our clearing services. Moreover, by using Snowflake’s Secure Data Sharing and “share back” capabilities, we can bring this capability to our clients’ data platforms as well.

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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Finally, make data visualizations to display your project's results and construct a website to showcase your work, whether it's a portfolio or a personal site.

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Data Analyst Responsibilities-What does a data analyst do?

ProjectPro

Having a data analyst degree may make it easier to land your first data analyst job, but a degree isn’t required if you’re skilled in analytics tools like Excel, SQL, Tableau, PowerBI, QlikView, and others. Whatever learning path you choose, make sure you build a strong data analytics portfolio.

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7-Step Guide to Become a Machine Learning Engineer in 2023

ProjectPro

3) Machine Learning Engineer vs Data Scientist 4) How to Become a Machine Learning Engineer-Learn Machine Learning Skills 5) Build a Machine Learning Portfolio 6) Find the Best Machine Learning Jobs 7) Ace Your Machine Learning Interview How to become a machine learning engineer without a degree?

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Top 15 Cloud Computing Projects Ideas for Beginners in 2023

ProjectPro

Popular ride-hailing services, such as Uber and Ola, have used such cloud-based analytics applications for data-driven decision-making. You can acquire and improve your skills in Cloud Computing and data analytics with this project. Banking applications and systems use such applications to protect information and data sets.

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Top 6 Big Data and Business Analytics Companies to Work For in 2023

ProjectPro

The company targets to deliver values to its customers through the free SaaS based analytics applications so that it can build credibility with the clients to encourage them to buy more.

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How LinkedIn uses Hadoop to leverage Big Data Analytics?

ProjectPro

All the batch processing and analytics workload at LinkedIn is primarily handled by Hadoop. LinkedIn uses Hadoop for development of predictive analytics applications like “Skill Endorsements” and “People You May Know”, ad-hoc analysis by data scientists and for descriptive statistics for operating internal dashboards.

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