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Cloud Computing Syllabus: Chapter Wise Summary of Topics

Knowledge Hut

Additionally, students learn about service and deployment models, SLAs, economic models, cloud security, enabling technologies, popular cloud stacks, and their use cases. It also discusses case studies on Software Defined Storage (SDS), Software Defined Networks (SDN), and Amazon EC2.

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15+ Best Data Engineering Tools to Explore in 2023

Knowledge Hut

Database management: Data engineers should be proficient in storing and managing data and working with different databases, including relational and NoSQL databases. Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale.

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Top Big Data Tools You Need to Know in 2023

Knowledge Hut

Many business owners and professionals are interested in harnessing the power locked in Big Data using Hadoop often pursue Big Data and Hadoop Training. Apache Hadoop This open-source software framework processes data sets of big data with the help of the MapReduce programming model. What is Big Data?

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Google BigQuery: A Game-Changing Data Warehousing Solution

ProjectPro

BigQuery also supports many data sources, including Google Cloud Storage, Google Drive, and Sheets. It can process data stored in Google Cloud Storage, Bigtable, or Cloud SQL, supporting streaming and batch data processing. Q: Is BigQuery SQL or NoSQL? A: BigQuery is a hybrid system between SQL and NoSQL.

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Data Architect: Role Description, Skills, Certifications and When to Hire

AltexSoft

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

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SQL for Data Engineering: Success Blueprint for Data Engineers

ProjectPro

Despite the buzz surrounding NoSQL , Hadoop , and other big data technologies, SQL remains the most dominant language for data operations among all tech companies. For instance, data engineers can easily transfer the data onto a cloud storage system and load the raw data into their data warehouse using the COPY INTO command.

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AWS vs GCP - Which One to Choose in 2023?

ProjectPro

Amazon brought innovation in technology and enjoyed a massive head start compared to Google Cloud, Microsoft Azure , and other cloud computing services. It developed and optimized everything from cloud storage, computing, IaaS, and PaaS. AWS S3 and GCP Storage Amazon and Google both have their solution for cloud storage.

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