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15 of the Best Data Science Roles to pursue Right Now

ProjectPro

Data Engineer - Roles and Responsibilities The day-to-day tasks of a data engineer are as follows: Using data to identify hidden patterns and predict trends Creating reports and providing updates to stakeholders based on data analytics. Experience with data warehouses, data governance, and big data analytics.

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Expert Talk TLDR: SQL vs NoSQL Databases in the Modern Data Stack

Rockset

Last week, Rockset hosted a conversation with a few seasoned data architects and data practitioners steeped in NoSQL databases to talk about the current state of NoSQL in 2022 and how data teams should think about it. NoSQL is great for well understood access patterns. Much was discussed.

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100+ Big Data Interview Questions and Answers 2025

ProjectPro

This process involves data collection from multiple sources, such as social networking sites, corporate software, and log files. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Data Processing: This is the final step in deploying a big data model.

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Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

Big Data Engineer/Data Architect With the growth of Big Data, the demand for Data Architects has also increased rapidly. Data Architects, or Big Data Engineers, ensure the data availability and quality for Data Scientists and Data Analysts.

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Top 7 Data Engineering Career Opportunities in 2024

Knowledge Hut

Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language). For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. Understanding of Big Data technologies such as Hadoop, Spark, and Kafka.

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Unstructured Data: Examples, Tools, Techniques, and Best Practices

AltexSoft

A loose schema allows for some data structure flexibility while maintaining a general organization. Semi-structured data is typically stored in NoSQL databases, such as MongoDB, Cassandra, and Couchbase, following hierarchical or graph data models. MongoDB, Cassandra), and big data processing frameworks (e.g.,

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Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

Steps to Become a Data Engineer One excellent point is that you don’t need to enter the industry as a data engineer. You can start as a software engineer, business intelligence analyst, data architect, solutions architect, or machine learning engineer. Step 4 - Who Can Become a Data Engineer?