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Analytics learning-path-anchor Databricks metastore The top-level Unity Catalog container for catalogs, schemas, tables, volumes, models, functions, and governance permissions. Databricks intermediate 4 commands Aliases: Unity Catalog metastore, Databricks Unity Catalog metastore, metastore Quick peek Open full term page

Analytics learning-path-anchor Databricks MLflow The managed MLflow experience in Azure Databricks for experiments, runs, metrics, artifacts, model lineage, and MLOps evidence. Databricks fundamentals 4 commands Aliases: MLflow on Databricks, Databricks experiment tracking, MLflow tracking Quick peek Open full term page

Analytics learning-path-anchor Databricks model serving A managed serving endpoint pattern for exposing Databricks models or AI workloads for online inference with operational controls. Databricks intermediate 4 commands Aliases: Databricks Model Serving, serving endpoint, model serving endpoint Quick peek Open full term page

Analytics learning-path-anchor Databricks notebook A collaborative Azure Databricks document for code, SQL, visualizations, exploration, jobs, and ML workflows attached to compute. Databricks fundamentals 4 commands Aliases: Azure Databricks notebook, Databricks workspace notebook, interactive notebook Quick peek Open full term page

Analytics learning-path-anchor Databricks Photon The native vectorized Azure Databricks engine for accelerating eligible SQL, DataFrame, ETL, and streaming workloads. Databricks intermediate 4 commands Aliases: Photon engine, Photon acceleration, Databricks vectorized engine Quick peek Open full term page

Analytics learning-path-anchor Databricks repo A workspace Git integration, now called Git folders, for versioning notebooks and files used in Databricks development and CI/CD. Databricks fundamentals 4 commands Aliases: Databricks Repos, Databricks Git folder, Azure Databricks Git folders, workspace Git folder Quick peek Open full term page

Analytics learning-path-anchor Databricks schema A Unity Catalog namespace under a catalog that groups tables, views, volumes, models, functions, and permissions. Databricks fundamentals 4 commands Aliases: Unity Catalog schema, Databricks database schema, schema in Unity Catalog Quick peek Open full term page

Analytics learning-path-anchor Databricks secret scope A named Databricks collection of secrets used to store credentials and grant controlled read or manage access to workloads. Databricks fundamentals 4 commands Aliases: Databricks secrets scope, secret scope, Azure Databricks secrets Quick peek Open full term page

Analytics learning-path-anchor Databricks SQL warehouse A Databricks SQL compute resource for interactive queries, dashboards, BI tools, and governed analytics workloads. Databricks intermediate 4 commands Aliases: SQL warehouse, Databricks SQL compute, serverless SQL warehouse Quick peek Open full term page

Analytics learning-path-anchor Databricks table A governed Databricks data object, commonly managed, external, or foreign, queried through Unity Catalog and optimized for analytics. Databricks fundamentals 4 commands Aliases: Unity Catalog table, Delta table in Databricks, Databricks managed table Quick peek Open full term page

Analytics premium Databricks job A scheduled or triggered Databricks workflow that runs one or more tasks using configured compute, parameters, retries, notifications, and access controls. Azure Databricks fundamentals 7 commands Aliases: Databricks workflow job, Lakeflow Job, Databricks Jobs Quick peek Open full term page

Analytics premium Databricks access connector A first-party Azure resource that gives Azure Databricks a managed identity for Unity Catalog storage credentials and other governed service access. Azure Databricks intermediate 6 commands Aliases: Access Connector for Azure Databricks, Azure Databricks access connector, Databricks managed identity connector Quick peek Open full term page

Analytics premium Databricks catalog The top-level Unity Catalog namespace that organizes schemas, tables, views, volumes, models, functions, permissions, lineage, and governed data ownership. Azure Databricks fundamentals 6 commands Aliases: Unity Catalog catalog, Azure Databricks catalog, catalog object Quick peek Open full term page

Analytics premium Databricks cluster A Databricks compute resource that runs notebooks, jobs, libraries, Spark workloads, and data processing tasks using configured runtime, workers, policies, and access controls. Azure Databricks fundamentals 6 commands Aliases: Databricks compute, Azure Databricks compute cluster, classic cluster Quick peek Open full term page

Analytics premium Databricks cluster policy A Databricks governance object that limits which cluster settings users can choose, helping control cost, security, runtime consistency, and workload standards. Azure Databricks intermediate 6 commands Aliases: Databricks compute policy, cluster policy, compute policy Quick peek Open full term page

Analytics premium Databricks DBFS The Databricks file-system abstraction behind dbfs:/ paths, useful for workspace files and legacy mounts but carefully governed alongside Unity Catalog. Azure Databricks fundamentals 6 commands Aliases: DBFS, Databricks File System, dbfs:/ Quick peek Open full term page

Analytics premium Databricks managed resource group The Azure resource group created or referenced for Databricks-managed infrastructure that supports a workspace and its classic compute resources. Azure Databricks intermediate 6 commands Aliases: managed resource group, Azure Databricks managed resource group, workspace managed resource group Quick peek Open full term page

Analytics premium Databricks workflow A Databricks workflow is a scheduled or triggered orchestration of tasks in Azure Databricks, commonly managed through Lakeflow Jobs, for running notebooks, SQL, pipelines, scripts, and production data workloads. Data engineering and analytics intermediate 5 commands Aliases: Databricks Jobs workflow, Lakeflow Jobs workflow, Databricks scheduled workflow, Databricks orchestration Quick peek Open full term page

Analytics premium Databricks workspace A Databricks workspace is the Azure resource and collaborative environment where teams create and operate notebooks, jobs, clusters, SQL warehouses, repositories, experiments, and governed data access. Analytics platform beginner 5 commands Aliases: Azure Databricks workspace, Databricks workspace resource, workspace resource, Databricks environment Quick peek Open full term page

Analytics premium Databricks workspace Private Link Databricks workspace Private Link is the Azure Private Link configuration that provides private connectivity paths to Azure Databricks workspace resources and related Databricks services without exposing traffic to the public internet. Azure Databricks advanced 5 commands Aliases: Azure Databricks Private Link, Databricks private endpoint, workspace private endpoint, front-end Private Link Quick peek Open full term page

Analytics premium Databricks workspace VNet injection Databricks workspace VNet injection is the deployment model that places Azure Databricks compute resources into customer-managed virtual network subnets so network security, routing, and private connectivity controls can be applied. Databricks advanced 5 commands Aliases: VNet-injected Databricks workspace, customer-managed VNet workspace, Databricks VNet injection, workspace in customer VNet Quick peek Open full term page

Analytics top-250-pre130-priority-upgraded Databricks Unity Catalog Databricks Unity Catalog is the centralized governance layer in Azure Databricks for managing data and AI asset metadata, permissions, lineage, discovery, and workspace access relationships. Databricks intermediate 5 commands Aliases: Unity Catalog in Azure Databricks, Azure Databricks Unity Catalog, governed catalog, Databricks data governance Quick peek Open full term page

Analytics premium Azure Databricks A unified, open analytics platform on Azure for building, deploying, sharing, and maintaining enterprise data, analytics, and AI solutions at scale. Data engineering and AI intermediate 5 commands Aliases: Databricks on Azure Quick peek Open full term page

Analytics premium Azure Databricks Unity Catalog A unified governance layer in Azure Databricks for data and AI assets, including catalogs, schemas, tables, volumes, models, privileges, and lineage. Data governance intermediate 5 commands Aliases: Unity Catalog Quick peek Open full term page

Storage premium Data Lake analytics workload A production analytics workload that stores, transforms, governs, and serves large data sets from a data lake using Azure services such as ADLS Gen2, Data Factory, Databricks, Synapse, or Fabric. Data Lake Storage Intermediate 6 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning premium Experiment An Experiment in Azure Machine Learning groups related runs so parameters, metrics, artifacts, models, and lineage can be tracked and compared. Teams use it to organize model training, evaluation, and tuning work so teams can compare runs and reproduce how a model version was produced. It is not a deployed endpoint, a registered model, a notebook file, a compute cluster, or proof that a model is fair, secure, or production-ready. In production, confirm workspace, experiment name, run IDs, parameters, metrics, artifacts, data version, environment, compute target, model registration, owner, and promotion criteria before treating the design as healthy or ready. Machine learning intermediate 6 commands Aliases: Azure ML experiment, MLflow experiment, machine learning experiment Quick peek Open full term page

Analytics premium Fabric capacity A Fabric capacity is a dedicated pool of compute resources that powers Microsoft Fabric workloads assigned to workspaces. Teams use it to provide shared compute for Fabric workspaces, reports, lakehouses, warehouses, notebooks, pipelines, and real-time workloads under an assigned capacity SKU. It is not a single workspace, a Power BI report, a storage account, a Databricks cluster, or a guarantee that every tenant workload has unlimited performance. In production, confirm capacity name, SKU, region, admin list, assigned workspaces, workload settings, metrics app evidence, throttling, refresh history, pause state, billing owner, and reservation or scaling plan before treating the design as. Microsoft Fabric intermediate 6 commands Aliases: Microsoft Fabric capacity, Fabric F SKU, Fabric compute capacity Quick peek Open full term page

AI and Machine Learning premium Feature store A Feature store is a managed repository for machine learning features that lets teams discover, reuse, secure, monitor, and serve consistent feature values for training and inference. Teams use it to keep model features consistent between experimentation, batch training, and production inference instead of letting every team rebuild the same transformations differently. It is not a raw data lake, model registry, dashboard catalog, replacement for data governance, or guarantee that features are unbiased, fresh, or useful for every model. Azure Machine Learning intermediate 6 commands Aliases: Azure Machine Learning feature store, managed feature store, ML feature repository, feature registry Quick peek Open full term page

Databases premium Foreign key A foreign key is a column or set of columns that links rows in one table to key values in another table and helps enforce referential integrity. Teams use it to keep child records such as orders, invoices, payments, devices, or claim lines tied to valid parent records instead of allowing orphaned data to silently enter the database. It is not an index by itself, a security boundary, a substitute for business validation, or an enforced guarantee in every Azure analytics engine that can store a declared relationship. Relational database intermediate 6 commands Aliases: FK, foreign key constraint, referential constraint, SQL foreign key Quick peek Open full term page

Analytics premium Azure integration runtime Azure integration runtime is the compute infrastructure used by Azure Data Factory and Synapse pipelines to move data, dispatch activities, and connect across network environments. Data integration compute intermediate 5 commands Aliases: Integration Runtime, IR, ADF integration runtime Quick peek Open full term page

AI and Machine Learning premium Azure Machine Learning Azure Machine Learning is a cloud service for managing the machine learning lifecycle, including workspaces, data, training jobs, model deployment, monitoring, and MLOps. Machine learning operations advanced 5 commands Aliases: Azure ML, AML, Machine Learning workspace Quick peek Open full term page

Storage premium Data Lake gold layer The Data Lake gold layer is the business-ready medallion layer where curated, aggregated, and governed data is published for analytics, reporting, and decision support. Medallion lakehouse architecture intermediate 5 commands Aliases: gold layer, gold zone, curated business layer, trusted reporting layer Quick peek Open full term page

Storage premium Data Lake partition folder A Data Lake partition folder is a directory pattern, often key=value, that groups files by values such as date, region, tenant, or business domain for efficient reads. Data Lake Storage Gen2 intermediate 5 commands Aliases: partition folder, Hive-style partition folder, date partition folder, lake partition path Quick peek Open full term page

Analytics premium Dataset A dataset is a logical description of data used by analytics or integration services; in Azure Data Factory and Synapse pipelines, it describes the data structure, location, and linked service used by activities. Data integration beginner 5 commands Aliases: data set, logical dataset, pipeline dataset, data reference Quick peek Open full term page

Analytics premium Delta time travel Delta time travel is the ability to query or restore earlier versions of a Delta table by using the table history stored in the Delta transaction log. Delta Lake intermediate 5 commands Aliases: Delta Lake time travel, table version query, query previous Delta version, restore Delta table version Quick peek Open full term page

Analytics premium Delta transaction log The Delta transaction log is the file-based record that tracks Delta table commits, metadata, protocol information, and data-file actions for reliable table operations. Delta Lake intermediate 5 commands Aliases: Delta log, _delta_log, Delta Lake log, Delta table log Quick peek Open full term page

Storage premium ABFS driver The ABFS driver is the connector that lets Spark, Hadoop, Databricks, Synapse, and similar tools read and write ADLS Gen2 data using abfs:// or secure abfss:// paths instead of treating the storage account like ordinary blob storage. Data Lake Storage Gen2 fundamentals 4 commands Aliases: No aliases yet Quick peek Open full term page

Analytics premium Auto Loader Auto Loader is the Azure Databricks feature that watches cloud storage and brings in new files without forcing engineers to rescan everything manually. In plain terms, it is a safer ingestion pattern for folders that keep receiving CSV, JSON, Parquet, images, or other data files. It can process existing files, then continue with new. Analytics platform intermediate 4 commands Aliases: Databricks Auto Loader, cloudFiles, Auto Loader cloud files, Lakeflow Auto Loader Quick peek Open full term page

Management and Governance premium Data catalog Data catalog is a governed inventory of data assets, metadata, business context, ownership, lineage, and access signals used to help people find and understand data. Data governance intermediate 4 commands Aliases: Data catalog Quick peek Open full term page

Analytics premium Delta Lake table A Delta Lake table is a Databricks table stored in Delta format, using data files and a transaction log to support reliable reads, writes, metadata, and table history. Delta Lake fundamentals 4 commands Aliases: Delta table in Delta Lake, Databricks Delta Lake table, Delta format table, lakehouse Delta table Quick peek Open full term page

Analytics premium Delta Live Tables Delta Live Tables is the former name for Lakeflow Spark Declarative Pipelines, a Databricks framework for declarative batch and streaming pipelines using SQL or Python. Azure Databricks intermediate 4 commands Aliases: DLT, Lakeflow Spark Declarative Pipelines, Databricks declarative pipelines, Lakeflow pipelines Quick peek Open full term page

Analytics premium Delta table A Delta table is a table stored in Delta Lake format, combining Parquet data files with a transaction log for reliable batch, streaming, and SQL operations. Delta Lake fundamentals 4 commands Aliases: Databricks Delta table, Delta format table, Delta Lake table, managed Delta table Quick peek Open full term page

Storage premium Filesystem in Data Lake Storage Filesystem in Data Lake Storage is the top-level container-like namespace in Azure Data Lake Storage Gen2 that holds directories and files in Azure. Data Lake Storage Gen2 intermediate 4 commands Aliases: Filesystem in Data Lake Storage, filesystem in data lake storage Quick peek Open full term page

AI and Machine Learning premium Hyperparameter sweep Hyperparameter sweep is an Azure Machine Learning job pattern that runs multiple training trials across a defined hyperparameter search space. Azure Machine Learning intermediate 4 commands Aliases: Azure ML hyperparameter tuning, hyperparameter sweep, Hyperparameter sweep, Hyperparameter tuning sweep, Sweep job Quick peek Open full term page

Analytics premium Microsoft Fabric lakehouse Microsoft Fabric lakehouse is a Microsoft Fabric data item that stores files and tables in OneLake while exposing lakehouse-style analytics and engineering experiences. Teams should manage it with clear ownership, monitoring, rollback evidence, and production change discipline. Microsoft Fabric intermediate 4 commands Aliases: Fabric lakehouse, lakehouse item, OneLake lakehouse Quick peek Open full term page

Integration premium Checkpoint In Event Hubs, checkpointing is the consumer responsibility of saving the current offset so processing can resume, fail over, or replay from a known position. Messaging and eventing intermediate 3 commands Aliases: No aliases yet Quick peek Open full term page

Storage field-manual-complete Data Lake Storage Gen2 Data Lake Storage Gen2 is Azure Blob Storage with a hierarchical namespace enabled for analytics workloads. Microsoft Learn describes it as combining file-system style directories, ACLs, and large-scale throughput with Blob Storage durability, security, lifecycle, tiering, and ecosystem compatibility for big data scenarios. Analytics storage fundamentals 8 commands Aliases: ADLS Gen2 Quick peek Open full term page

Analytics field-manual-complete Kusto table A Kusto table is a database object in Azure Data Explorer or Fabric that stores ingested records in a named schema. Tables are created, altered, queried, secured, and governed through Kusto management commands, policies, ingestion mappings, and KQL queries in production. Azure Data Explorer intermediate 6 commands Aliases: No aliases yet Quick peek Open full term page

Analytics field-manual-complete Synapse Apache Spark Synapse Apache Spark is the big-data processing engine inside Azure Synapse Analytics. It lets teams run Spark code without building and maintaining their own cluster platform. Data engineers use it to clean files, join large datasets, prepare lakehouse tables, explore data in notebooks, and run batch transformations. It works with a Synapse workspace, Spark pools, storage such as Azure Data Lake Storage, identities, libraries, and monitoring. The main value is scalable data processing with Azure-managed operational pieces. Azure Synapse Analytics intermediate 6 commands Aliases: Apache Spark in Synapse, Synapse Spark, Azure Synapse Spark, Spark in Azure Synapse Analytics Quick peek Open full term page

Analytics field-manual-complete Synapse Apache Spark notebook A Synapse Apache Spark notebook is an interactive workbook for Spark code inside a Synapse workspace. Data engineers and analysts use cells to read data, transform it, visualize samples, and test logic before turning it into a scheduled job or pipeline step. The notebook itself is not the compute; it attaches to a Spark pool that runs the work. This makes it useful for exploration and production preparation, but it also needs source control, parameter discipline, access review, and cost awareness. Azure Synapse Analytics intermediate 6 commands Aliases: Synapse Spark notebook, Apache Spark notebook in Synapse, Synapse notebook, Spark notebook Quick peek Open full term page