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Cloudera Lakehouse Optimizer Makes it Easier Than Ever to Deliver High-Performance Iceberg Tables

Cloudera

It combines the flexibility and scalability of data lake storage with the data analytics, data governance, and data management functionality of the data warehouse. Let’s take a look at some of the features in Cloudera Lakehouse Optimizer, the benefits they provide, and the road ahead for this service.

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Comparing DynamoDB and MongoDB for Big Data Management

Smart Data Collective

A growing number of companies are discovering the benefits of investing in big data technology. One of the problems companies face is trying to setup a database that will be able to handle the large quantity of data that they need to manage. There are a number of solutions that can help companies manage their databases.

Big Data 111
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Top 10 Management Reporting Best Practices To Create Effective Reports

datapine

Management reporting is a source of business intelligence that helps business leaders make more accurate, data-driven decisions. In this blog post, we’re going to give a bit of background and context about management reports, and then we’re going to outline 10 essential best practices you can use to make sure your reports are effective.

Reporting 263
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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. These applications are designed to benefit logistics and shipping companies alike. Did you know?

Big Data 275
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Implement data warehousing solution using dbt on Amazon Redshift

AWS Big Data

Managing the SQL files, integrating cross-team work, incorporating all software engineering principles, and importing external utilities can be a time-consuming task that requires complex design and lots of preparation. In this post, we look into an optimal and cost-effective way of incorporating dbt within Amazon Redshift.

Snapshot 101
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Use Apache Iceberg in your data lake with Amazon S3, AWS Glue, and Snowflake

AWS Big Data

Iceberg tables maintain metadata to abstract large collections of files, providing data management features including time travel, rollback, data compaction, and full schema evolution, reducing management overhead. Snowflake integrates with AWS Glue Data Catalog to retrieve the snapshot location.

Data Lake 104
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Power enterprise-grade Data Vaults with Amazon Redshift – Part 2

AWS Big Data

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x