Knowledge Hut
JANUARY 24, 2024
Supports numerous data sources It connects to and fetches data from a variety of data sources using Tableau and supports a wide range of data sources, including local files, spreadsheets, relational and non-relational databases, data warehouses, big data, and on-cloud data.
Knowledge Hut
JUNE 23, 2023
Data architecture to tackle datasets and the relationship between processes and applications. Coding helps you link your database and work with all programming languages. You should be well-versed in Python and R, which are beneficial in various data-related operations.
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AltexSoft
JUNE 26, 2023
Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. In total, datasets prepared for ML projects amount to thousands of data samples. No wonder only 0.5
ProjectPro
JANUARY 31, 2023
MapReduce is a Hadoop framework used for processing large datasets. Another name for it is a programming model that enables us to process big datasets across computer clusters. Information-Theoretic Models: This technique aims to find outliers as the bad data instances that increase the dataset's complexity.
Cloud Academy
JANUARY 27, 2022
These fundamentals will give you a solid foundation in data and datasets. Knowing SQL means you are familiar with the different relational databases available, their functions, and the syntax they use. Apache Hadoop Introduction to Google Cloud Dataproc Hadoop allows for distributed processing of large datasets.
ProjectPro
JANUARY 19, 2022
Relational and non-relational databases are among the most common data storage methods. Learning SQL is essential to comprehend the database and its structures. ETL (extract, transform, and load) techniques move data from databases and other systems into a single hub, such as a data warehouse.
AltexSoft
NOVEMBER 23, 2021
To join data together from non-relational databases and other unstructured sources, TIBCO has the built-in transformation engine doing all the jobs. For this purpose, make a comprehensive list of all datasets, applications, services, and systems producing information. Know your data sources.
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