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SQL Transformations for Optimized ETL Pipelines

Table of Contents SQL (Structured Query Language) is one of the most commonly used tools for transforming data within ETL (Extract, Transform, Load) processes. SQL transformations are essential for converting raw, extracted data in CSV, JSON, XML or any format into a clean, structured, and meaningful format before loading it into a target database or cloud data warehouse like BigQuery or Snowflake.

How ClearML Stacks Up Against Alternate Solutions - Weights & Biases

At first glance, ClearML’s AI Development Center and alternatives such as Weights & Biases seem to offer similar capabilities for MLOps. For example, both solutions support experiment management, data management, and orchestration. However, each product is designed to solve a different use case. It is important to understand how these approaches affect the user experience.

AI Data Mapping: How it Streamlines Data Integration

AI has entered many aspects of data integration, including data mapping. AI data mapping involves smart identification and mapping of data from one place to another. Sometimes, creating data pipelines manually can be important. The process might require complex transformations between the source and target schemas while setting up custom mappings.

Shift Left: Bad Data in Event Streams, Part 1

At a high level, bad data is data that doesn’t conform to what is expected. For example, an email address without the “@”, or a credit card expiry where the MM/YY format is swapped to YY/MM. “Bad” can also include malformed and corrupted data, such that it’s completely indecipherable and effectively garbage.

Transforming Customer Support with Qlik Answers

Watch as an HVAC manufacturer's customer service rep leverages Qlik Answers to provide instant, accurate information to a HVAC contractor, inquiring about a replacement air conditioning system. This video showcases how Qlik Answers uses simple natural language question to turn technical queries into clear, actionable insights, enabling the rep to quickly address compatibility issues, warranty details, and installation guidelines and more.

Reducing Your Data Risk to Drive Innovation

Organizations today face a myriad of risks that can affect their operations, reputation and bottom line. Prime among them are the existential threats to your data, including infrastructure risks and data risks. Comprehensive data governance solutions enable you to address both your infrastructure and data risk to build a resilient and secure environment that supports your operations and protects your valuable data assets.