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Showing 8 results for “spark”.
A+ · Operational Procedures
…tic discharge can destroy components without a visible spark, so wear an anti-static wrist strap connected to ground, use anti-static mats and bags, and avoid carpets. Unplug equipment befor…
DBX-SPARK · Data pipeline design
A data pipeline needs defined inputs, transformations, outputs and checkpoints. Failures can leave partial results, so decide how processing resumes without losing or duplicating records. Tr…
DBX-SPARK · Data quality
A value can have the right data type and still be wrong for the business. Data quality checks should cover required values, uniqueness, valid ranges and relationships, along with freshness a…
DBX-SPARK · Databricks lakehouse concepts
A lakehouse workflow can separate raw ingestion from validated and business-ready datasets. Each layer should have a clear contract rather than merely a different folder name. Preserve enoug…
DP-900 · Describe considerations for working with non-relational data on Azure
… level, and efficient use by analytics engines such as Spark, Synapse and Databricks that expect file-system semantics. It is the foundation of modern lakehouse designs and Microsoft Fabric'…
DP-900 · Describe an analytics workload on Azure
…ng, serverless SQL for querying lake files, and Apache Spark pools, all inside Synapse Studio. Azure Databricks is a premium Apache Spark platform with collaborative notebooks, favoured for …
DP-900 · Describe an analytics workload on Azure
…writes results to Power BI, Cosmos DB, SQL or storage. Spark Structured Streaming in Databricks or Synapse is the code-first alternative. Typical use cases are fraud detection, live dashboar…
GCP-CDL · Exploring data transformation with Google Cloud
…ataproc is the alternative for teams that already have Spark or Hadoop jobs and want a managed cluster. Cloud Composer, based on Apache Airflow, orchestrates workflows across these services …
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