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Lack of Proper Test Data Poses Bottleneck

TDAN

Implementing an optimized test data management program […] IT is operating at a faster pace than ever before and has become a vital component of modern business. The speed of application development is becoming a decisive factor for a company’s success.

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Uplevel your data architecture with real- time streaming using Amazon Data Firehose and Snowflake

AWS Big Data

Overview of solution The following are the steps to implement the solution to stream data from AWS to Snowflake: Create a Snowflake database, schema, and table. Create a Kinesis data stream. Create a Firehose delivery stream with Kinesis Data Streams as the source and Snowflake as its destination using a secure private link.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

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DataKitchen’s Best of 2021 DataOps Resources

DataKitchen

Gartner – Top Trends and Data & Analytics for 2021: XOps. What is a Data Mesh? DataOps Data Architecture. DataOps is Not Just a DAG for Data. Data Observability and Monitoring with DataOps. Add DataOps Tests to Deploy with Confidence. DataOps is NOT Just DevOps for Data.

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What is a Data Mesh?

DataKitchen

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. The communication between business units and data professionals is usually incomplete and inconsistent. Introduction to Data Mesh. Source: Thoughtworks.

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Cloudera Introduces AI Inference Service With NVIDIA NIM

Cloudera

Cloudera AI Inference: Scalable and Secure Model Serving Key Features of Cloudera AI Inference service: Hybrid cloud support: Run workloads on premises or in the cloud, depending on specific needs and requirements, making it suitable for enterprises with complex data architectures or regulatory constraints.

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Why the Data Journey Manifesto?

DataKitchen

Much like the goal of a customer journey, a Data Journey should give you a better understanding of how, when, where, and what data flows through your data analytic systems. Data Journeys track and monitor all levels of the data estate, from data to tools to code to tests across all critical dimensions.

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