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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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Hadoop Use Cases

ProjectPro

Hadoop clusters are used by banks to create more accurate risk analysis models for the customers in its portfolio. Currently banks as well as government financial institutions use HDFS and MapReduce to commence anti money laundering practices, asset valuation and portfolio analysis. The solution to this problem is straightforward.

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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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AWS vs GCP - Which One to Choose in 2023?

ProjectPro

Popular instances where GCP is used widely are machine learning analytics, application modernization, security, and business collaboration. AWS vs. Google Cloud - Machine Learning AWS and GCP offer cutting-edge machine learning tools from their portfolio that help develop, train, and test a machine learning model.

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