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AWS vs GCP - Which One to Choose in 2023?

ProjectPro

Google launched its Cloud Platform in 2008, six years after Amazon Web Services launched in 2002. Amazon brought innovation in technology and enjoyed a massive head start compared to Google Cloud, Microsoft Azure , and other cloud computing services. Let’s get started! Launched in 2006.

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Build and Deploy ML Models with Amazon Sagemaker

ProjectPro

Integration with other AWS services: SageMaker integrates seamlessly with other services, such as Amazon Simple Storage Service(S3) and Amazon Elastic Compute Cloud (EC2), making it easy to incorporate machine learning into existing workflow and infrastructure. Amazon launched SageMaker in November 2017.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Smart IoT Infrastructure Aviation Data Analysis Shipping and Distribution Demand Forecasting Event Data Analysis Data Ingestion Data Visualization Data Aggregation Let us discuss them in detail. After preprocessing, cleansing, and data transformation, you will visualize data in various Dashboards.

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Snowflake Architecture and It's Fundamental Concepts

ProjectPro

Traditional data preparation platforms, including Apache Spark, are unnecessarily complex and inefficient, resulting in fragile and costly data pipelines. Multi-Cloud Support- Snowflake is a fully managed data warehouse deployed across various clouds while maintaining the same intuitive user interface.

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How to Become a Big Data Engineer in 2023

ProjectPro

Data Warehousing: Data warehouses store massive pieces of information for querying and data analysis. Your organization will use internal and external sources to port the data. You must be aware of Amazon Web Services (AWS) and the data warehousing concept to effectively store the data sets.

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Big Data Analytics: How It Works, Tools, and Real-Life Applications

AltexSoft

It’s highly scalable making it possible to handle huge volumes of data by replicating them into multiple nodes. Amazon DynamoDB is a fully managed NoSQL database that comes as a part of the Amazon Web Services portfolio. Also, Spark supports machine learning (MLlib), SQL, graph processing (GraphX).

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20 Solved End-to-End Big Data Projects with Source Code

ProjectPro

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. How do you Create a Good Big Data Project?