ProjectPro

DECEMBER 7, 2021

This blog will give you an in-depth knowledge of what is a data pipeline and also explore other aspects such as data pipeline architecture, data pipeline tools, use cases, and so much more. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases.

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Data Pipeline Architecture Kafka AWS 52

DareData

JULY 5, 2023

In today's data-driven world, organizations are faced with the challenge of managing and processing large volumes of data efficiently. To overcome this challenge, many companies are turning to Data Lake solutions, which provide a centralized and scalable platform for storing, processing, and analyzing data.

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Data Lake Building Raw Data ETL Tools 52

Knowledge Hut

APRIL 25, 2023

The practice requires them to use a mix of various programming languages, data warehouses, and tools. Data engineering tools are software applications that help data engineers manage and process large and complex data sets. Data engineers add meaning to the data for companies, be it by designing infrastructure or developing algorithms.

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Data Engineering Data Engineer Engineering Google Cloud 52

AltexSoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. This whole process of making sense of data is known under the broad term of data science. Data engineering itself is a process of creating mechanisms for accessing data.

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Data Engineering Data Engineer Engineering Machine Learning 98

DataKitchen

OCTOBER 11, 2021

A DataOps implementation project consists of three steps. A DataOps project begins with a list of challenges. Having worked with multiple customers on various use cases, scenarios and different toolchains, I believe there are commonalities in all DataOps projects. When is a project ready to be pushed to production?

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Engineering BI Business Analyst Metadata 62

AltexSoft

OCTOBER 8, 2021

Luckily, there are various data integration tools that support automation and provide a unified data view for more efficient data management. Data integration defines the process of collecting data from a number of disparate source systems and presenting it in a unified form within a centralized location like a data warehouse.

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Data Integration Hadoop Data Warehouse Data Lake 52

DataKitchen

JULY 27, 2023

While working in Azure with our customers, we have noticed several standard Azure tools people use to develop data pipelines and ETL or ELT processes. You can use it for big data analytics and machine learning workloads. Databricks Notebooks are often used in conjunction with Workflows. Is it overkill?

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Data Pipeline BI Machine Learning Data Preparation 52