Systems | Development | Analytics | API | Testing

Modernizing the Analytics Data Pipeline

Apr 15, 2022 By Qlik In Qlik
Enterprises run on a steady flow of best-fit data analytics. Robust processes ensure these assets are always accurate, relevant, and fit for purpose. Increasingly, organizations are implementing these processes within structured development and operationalization “pipelines.” Typically, analytics data pipelines include data engineering functions such as extract-transform-load (ETL) and data science processes such as machine-learning model development.
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integrate

Why You Need a Fully Automated Data Pipeline

Apr 14, 2022 By Mark Smallcombe In Integrate
The five main reasons to implement a fully automated data pipeline are: When you think about the core technologies that give companies a competitive edge, a fully automated data pipeline may not be the first thing that leaps to mind. But to unlock the full power of your data universe and turn it into business intelligence and real-time insights, you need to gain full control and visibility over your data at all its sources and destinations.
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keboola

Do you want to build an ETL pipeline?

Oct 26, 2021 By Keboola In Keboola
Analysts and data scientists use SQL queries to pull data from the data storage underbelly of an enterprise. They mold the data, reshape it, and analyze it, so it can offer revenue-generating business insights to the company. But analytics is only as good as the material it works with. That is, if the underlying data is missing, compromised, incomplete, or wrong, so will the data analysis and inferences derived from it.
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integrate

The Ultimate Guide to Building a Data Pipeline

Oct 14, 2021 By Donal Tobin In Integrate
Data is the new oil. Almost every industry is becoming more and more data-driven, and this trend will only continue to grow in the coming years. With so many organizations now relying on data for decision-making, they must easily access and analyze their information through data pipelines. This article will get you started on how to build your own data pipeline.
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integrate

ETL Pipeline vs. Data Pipeline: What's the Difference?

Sep 17, 2021 By Donal Tobin In Integrate
ETL Pipeline and Data Pipeline are two concepts growing increasingly important as businesses keep adding applications to their tech stacks. More and more data is moving between systems, and this is where Data and ETL Pipelines play a crucial role. Take a comment on social media, for example. It might be picked up by your tool for social listening and registered in a sentiment analysis app.
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bigquery

Optimizing your BigQuery incremental data ingestion pipelines

Sep 8, 2021 By Anna Epishova In Google BigQuery

When you build a data warehouse, the important question is how to ingest data from the source system to the data warehouse. If the table is small you can fully reload a table on a regular basis, however, if the table is large a common technique is to perform incremental table updates. This post demonstrates how you can enhance incremental pipeline performance when you ingest data into BigQuery.

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