Remove 2021 Remove Data Transformation Remove Reporting Remove Visualization
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How to Implement Data Lineage Mapping Techniques

Octopai

In other words, kind of like Hansel and Gretel in the forest, your data leaves a trail of breadcrumbs – the metadata – to record where it came from and who it really is. So the first step in any data lineage mapping project is to ensure that all of your data transformation processes do in fact accurately record metadata.

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. Visual layouts in some screenshots in this post may look different than those on your AWS Management Console.

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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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What is a DataOps Engineer?

DataKitchen

Too many data organizations run data operations like a hundred-year-old car factory. While car companies lowered costs using mass production, companies in 2021 put data engineers and data scientists on the assembly line. That’s the state of data analytics today. . Their product is the data.

Testing 152
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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. With Octopai’s support and analysis of Azure Data Factory, enterprises can now view complete end-to-end data lineage from Azure Data Factory all the way through to reporting for the first time ever.

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!

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Showpad accelerates data maturity to unlock innovation using Amazon QuickSight

AWS Big Data

In 2021, Showpad set forth the vision to use the power of data to unlock innovations and drive business decisions across its organization. In this post, we share how Showpad used QuickSight to streamline data and insights access across teams and customers. Showpad migrated over 70 dashboards with over 1,000 visuals.