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Tag: data partitioning

Data Warehouse vs. Database – DATAVERSITY

What are data warehouses and databases? How are they different, and when should you use a data warehouse vs. database to store data? Below,...

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Effectively solve distributed training convergence issues with Amazon SageMaker Hyperband Automatic Model Tuning | Amazon Web Services

Recent years have shown amazing growth in deep learning neural networks (DNNs). This growth can be seen in more accurate models and even opening...

Mr. Pavan’s Data Engineering Journey Drives Business Success

Introduction We had an amazing opportunity to learn from Mr. Pavan. He is an experienced data engineer with a passion for problem-solving and a drive...

Get started managing partitions for Amazon S3 tables backed by the AWS Glue Data Catalog | Amazon Web Services

Large organizations processing huge volumes of data usually store it in Amazon Simple Storage Service (Amazon S3) and query the data to make data-driven...

Modern Data Engineering with MAGE: Empowering Efficient Data Processing

Introduction In today’s data-driven world, organizations across industries are dealing with massive volumes of data, complex pipelines, and the need for efficient data processing. Traditional...

Is blockchain technology ready for high-storage applications?

Web3 — the third generation of the internet — refers to a decentralized and distributed version of the web that uses blockchain technology, and...

Difference Between ETL and ELT Pipelines

Introduction The data integration techniques ETL (Extract, Transform, Load) and ELT pipelines (Extract, Load, Transform) are both used to transfer data from one system to...

How to choose the right Amazon MSK cluster type for you

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is an AWS streaming data service that manages Apache Kafka infrastructure and operations, making it easy...

Use Apache Iceberg in a data lake to support incremental data processing

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve...

Built with BigQuery: How BigQuery Helps Leverege Deliver Business-critical Enterprise IoT Solutions at Scale

Introduction Leverege is a software company that enables market leaders around the globe to quickly and cost effectively build enterprise IoT applications to provide data-centric...

Best Practices For Loading and Querying Large Datasets in GCP BigQuery

Introduction BigQuery is a robust data warehousing and analytics solution that allows businesses to store and query large amounts of data in real time. Its...

We Need to Make Smart Manufacturing Safer With Better Cybersecurity

Manufacturing cybersecurity cannot be an afterthought. These days, it seems easier to count the companies that haven’t been affected by cybercrime than the...

Data Lakes and SQL: A Match Made in Data Heaven

Image by Author Big data is a big deal, and data lakes are a key tool for storing and analyzing large datasets. But how...

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