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A Cost-Effective Data Warehouse Solution in CDP Public Cloud – Part1

Cloudera

A typical approach that we have seen in customers’ environments is that ETL applications pull data with a frequency of minutes and land it into HDFS storage as an extra Hive table partition file. In this way, the analytic applications are able to turn the latest data into instant business insights.

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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. Data pipeline best practices should be shown in these initiatives. In addition to this, they make sure that the data is always readily accessible to consumers.

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Real-Time Data Ingestion: Snowflake, Snowpipe and Rockset

Rockset

Without performant data ingestion, you run the risk of querying outdated values and returning irrelevant analytics. Snowflake provides a couple of ways to load data. The first, bulk loading, loads data from files in cloud storage or a local machine.

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Top 15 Cloud Computing Projects Ideas for Beginners in 2023

ProjectPro

You must maintain and improve the data quality at all times. Taxi/Cab Service Data Analysis The project aims to analyze the data of cab service to assist the organization's ineffective strategy development and decision-making. In this project, you can build a personal cloud server.

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

ProjectPro

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Visualizing Wikipedia Trends Big Data Project with Source Code.

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SQL for Data Engineering: Success Blueprint for Data Engineers

ProjectPro

For example, the data manipulation language (DML) and data definition language (DDL) allow engineers to collect and manipulate data scripts and design and modify data structures. They must load the raw data into a data warehouse for this analysis.