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Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase. They also make use of ETL tools, messaging systems like Kafka, and Big Data Tool kits such as SparkML and Mahout.

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Data Scientist vs Data Engineer: Differences and Why You Need Both

AltexSoft

Data engineers are programmers first and data specialists next, so they use their coding skills to develop, integrate, and manage tools supporting the data infrastructure: data warehouse, databases, ETL tools, and analytical systems. Deploying machine learning models.

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Top 10 MongoDB Career Options in 2024 [Job Opportunities]

Knowledge Hut

Proficiency in MongoDB query language and database design principles. Familiarity with application development frameworks and tools. Extensive experience in MongoDB database administration and architecture. Proficiency in database design principles and optimization techniques. Strong programming skills (e.g.,

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Azure Cloud Engineer Salary in India [Freshers & Experienced]

Knowledge Hut

LPA - INR 20 LPA Data Engineer ETL tools, data pipelines, SQL, data warehousing INR 3.91 LPA - INR 20 LPA Solutions Architect System design, architecture, cloud computing INR 6.79 LPA - INR 10 LPA Full Stack Software Developer HTML, CSS, JavaScript, database design, and querying INR 4.13 LPA - INR 6.14

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The Rise of Streaming Data and the Modern Real-Time Data Stack

Rockset

It can be the right choice when you have massive datasets that require deduplication and other preprocessing before ingestion into your real-time analytics database. Real-Time Analytics Database: The lynchpin is an analytics database designed expressly to handle streaming data.

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Solutions Architect Job Roles in 2024 [Career Options]

Knowledge Hut

Extensive experience in data architecture, database design, and data warehousing. Proficiency in database technologies such as SQL, NoSQL, and Big Data platforms. Design end-to-end integration solutions, including data mappings, message formats, and protocols.

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The Evolution of Customer Data Modeling: From Static Profiles to Dynamic Customer 360

phData: Data Engineering

It often involves specialized databases designed to handle this kind of atomic, temporal data. You might implement this using a tool like Apache Kafka or Amazon Kinesis, creating that immutable record of all customer interactions.

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