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Testing and Monitoring Data Pipelines: Part Two

Dataversity

In part one of this article, we discussed how data testing can specifically test a data object (e.g., table, column, metadata) at one particular point in the data pipeline.

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Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

Big Data Analytics News has hailed big data as the future of the translation industry. You might use predictive analysis-based data that can help you analyse buying trends or look at how the business might perform in a range of new markets. Using a Translation Company with Your Big Data Strategy.

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5 Practical Applications of Big Data for Small Businesses

Smart Data Collective

In manufacturing, for example, the rollout of smart, connected devices at many points along the production line mean that even relatively small-scale operations can be monitored, managed and synchronized more effectively.

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What Are OLAP (Online Analytical Processing) Tools?

Smart Data Collective

A data warehouse extracts data from a variety of sources and formats, including text files, excel sheets, multimedia files, and so on. The consolidated totals are saved in a data model in the HOLAP technique, while the particular data is maintained in a relational database. The Benefits of OLAP.

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Comparing DynamoDB and MongoDB for Big Data Management

Smart Data Collective

You can also easily monitor these databases. What Are Their Ranges of Data Models? MongoDB has a wider range of datatypes than DynamoDB, even though both databases can store binary data. It is compatible with a laptop to mainframe and on-premise through a hybrid cloud.

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5 Hardware Accelerators Every Data Scientist Should Leverage

Smart Data Collective

This feature helps automate many parts of the data preparation and data model development process. This significantly reduces the amount of time needed to engage in data science tasks. A text analytics interface that helps derive actionable insights from unstructured data sets.

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Can My Business Users Really Become Citizen Data Scientists?

ElegantJ BI

A Citizen Data Scientist will use his or her domain knowledge and primary skills and experience to gain insight into the data and hypothesize, prototype, analyze and forecast using data to improve accuracy of decisions and to share data and data models with other users.