Manufacturers today are implementing a range of new technologies to increase operational efficiency and create visibility and flexibility across value chains. These include robotics, automation, data analytics, IoT, and artificial intelligence (AI) and machine learning (ML), according to Deloitte. Company leaders hope these innovations will help them create more productive and resilient supply chains, improve production quality and efficiency, and mitigate risks.

The world of artificial intelligence and machine learning is constantly evolving, with new challenges and innovations emerging every day. Tzag Elita is a leading provider of HPC and AI solutions in Israel, and understands the importance of staying ahead of the curve and delivering cutting-edge solutions to their customers. That’s why ClearML is excited to announce our partnership with Tzag Elita.

Data ingestion is an important component of any successful data initiative. It refers to the process of collecting data from multiple sources and loading it into another system. Businesses most commonly use a subtype of data ingestion called ETL (extract, transform, load), which allows the data to be transformed before it's loaded. This extra step provides many benefits. Most importantly, it allows organizations to automatically match and correlate data from a variety of different sources.

Are you executing data replications and backups? Building ETL data pipelines? Ensuring the data ingestion is running smoothly? Or simply building an ad hoc dataset for your machine learning task? Using a data mapping tool can shave hours off your engineering work in all four use cases. In this article, you will learn.

Accelerate the extraction, loading, storing and transformation of data — including data from SAP systems — for faster, richer manufacturing insights.

BigQuery change data capture lets you replicate, insert, update, and/or delete changes from source systems without DML MERGE-based ETL pipelines.

Fivetran, Talend, and Integrate.io are three of the most popular ETL tools on the market. Each platform offers unique features and capabilities, but deciding which ETL tool best suits your business depends on your needs and requirements.

Data is the biggest value driver for businesses bringing positive change and enabling near term efficiency.

AWS DMS (Amazon Web Services Database Migration Service) is a managed solution for migrating databases to AWS. It allows users to move data from various sources to cloud-based and on-premises data warehouses. However, users often encounter challenges when using AWS DMS for ongoing data replication and high-frequency change data capture (CDC) processes.