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ETL Pipeline with Google DataFlow and Apache Beam

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Processing large amounts of raw data from various sources requires appropriate tools and solutions for effective data integration. Building an ETL pipeline using Apache […].

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Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics, Part 3: Visualization and trend analysis using Amazon QuickSight

AWS Big Data

You can slice data by different dimensions like job name, see anomalies, and share reports securely across your organization. With these insights, teams have the visibility to make data integration pipelines more efficient. Select Publish new dashboard as , and enter GlueObservabilityDashboard. Choose Publish dashboard.

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Metadata, the Neglected Stepchild of IT

Data Virtualization

Reading Time: 3 minutes While cleaning up our archive recently, I found an old article published in 1976 about data dictionary/directory systems (DD/DS). Nowadays, we no longer use the term DD/DS, but “data catalog” or simply “metadata system”. It was written by L.

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Reporting System: Everything You Need to Know

FineReport

It is composed of three functional parts: the underlying data, data analysis, and data presentation. The underlying data is in charge of data management, covering data collection, ETL, building a data warehouse, etc. You can design, generate, and manage reports in this part.

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Salesforce and the (single source of) Truth about Customer 360

Andrew White

If I am moved to write research about a vendor, I’ll write it and publish it behind our pay wall, in the assumption the advice is valuable. This acquisition followed another with Mulesoft, a data integration vendor. Analytics offerings are valuable; data integration tools are too.

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Week in the Life of an Analyst at Gartner US IT Symposium (virtual) 2021

Andrew White

Lakehouse (data warehouse and data lake working together) 8. Data Literacy, training, coordination, collaboration 8. Data Management Infrastructure/Data Fabric 5. Data Integration tactics 4. Figure 3: The Data and Analytics (infrastructure) Continuum. Business Innovation with D&A 6.

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Enterprise Reporting: The 2020’s Comprehensive Guide

FineReport

Then the reporting engine publishes these reports to the reporting portal to allow non-technical end-users access. In this way, users can gain insights from the data and make data-driven decisions. . The underlying data is responsible for data management, including data collection, ETL, building a data warehouse, etc.