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How to Implement Data Lineage Mapping Techniques

Octopai

Look for the Metadata. In order to perform accurate data lineage mapping, every process in the system that transforms or touches the data must be recorded. This metadata (read: data about your data) is key to tracking your data. Data Lineage by Tagging or Self-Contained Data Lineage.

Metadata 130
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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. Athena is used to run geospatial queries on the location data stored in the S3 buckets. The firehose table stores raw, unmodified data from the Amazon Location tracker.

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Introducing Cloudera DataFlow Designer: Self-service, No-Code Dataflow Design

Cloudera

In 2021 we launched Cloudera DataFlow for the Public Cloud (CDF-PC) , addressing operational challenges that administrators face when running NiFi flows in production environments. Developers need to onboard new data sources, chain multiple data transformation steps together, and explore data as it travels through the flow.

Testing 101
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Automate discovery of data relationships using ML and Amazon Neptune graph technology

AWS Big Data

The data science algorithm Valentine is an effective tool for this. Valentine is presented in the paper Valentine: Evaluating Matching Techniques for Dataset Discovery (2021, Koutras et al.). This solution solves the interoperability and linkage problem for data products. We focus on the former.

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Optimize data layout by bucketing with Amazon Athena and AWS Glue to accelerate downstream queries

AWS Big Data

Alternatively, you can use AWS Glue for Apache Spark, which provides built-in support for bucketing configurations during the data transformation process. AWS Glue allows you to define bucketing parameters, such as the number of buckets and the columns to bucket on, providing an optimized data layout for efficient querying with Athena.

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Why Data Lineage is Key to the LIBOR Transition

Octopai

In fact, the LIBOR transition program marks one of the largest data transformation obstacles ever seen in financial services. Building an inventory of what will be affected is a huge undertaking across all of the data, reports, and structures that must be accounted for. Like any data project, it boils down to the details.

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NEW: Octopai Announces Support of Microsoft Azure Data Factory

Octopai

Octopai is the first BI Intelligence Platform in the Industry to Support Azure Data Factory, Providing Full Lineage of Advanced BI Tools. This is done by visualizing the Azure Data Factory pipelines’ full column-level with source-to-target traceability through different data transformations at the most detailed level.