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Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

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

AltexSoft

Big Data analytics processes and tools. Data ingestion. The process of identifying the sources and then getting Big Data varies from company to company. It’s worth noting though that data collection commonly happens in real-time or near real-time to ensure immediate processing. NoSQL databases.

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The Good and the Bad of the Elasticsearch Search and Analytics Engine

AltexSoft

In this edition of “The Good and The Bad” series, we’ll dig deep into Elasticsearch — breaking down its functionalities, advantages, and limitations to help you decide if it’s the right tool for your data-driven aspirations. Fluentd is a data collector and a lighter-weight alternative to Logstash. What is Elasticsearch?

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10 Best Big Data Books in 2024 [Beginners and Advanced]

Knowledge Hut

Some of these ideas consist of: Big data technology and technologists deal with a number of similar problems, such as data heterogeneity and incompleteness, data volume and velocity, storage limitations, and privacy concerns. Relational and non-relational databases, such as RDBMS, NoSQL, and NewSQL databases.

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Top 16 Data Science Specializations of 2024 + Tips to Choose

Knowledge Hut

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines.