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Showing 20 results · Page 2 for “analytics”. More results are available below.
DP-900 · Describe core data concepts
…ta Factory pipelines are typically batch, while Stream Analytics and Event Hubs handle streaming. Hook: batch is the daily post, streaming is the phone call.
DP-900 · Describe core data concepts
Analytics questions build on each other. Descriptive analytics reports what happened, such as last quarter's sales. Diagnostic analytics explains why it happened by drilling into causes. Pre…
DP-900 · Describe considerations for working with non-relational data on Azure
…ss control lists at folder 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 des…
DP-900 · Describe an analytics workload on Azure
Extract, Transform, Load cleans and reshapes data in a processing engine before writing it to the destination, keeping the target tidy but requiring separate compute. Extract, Load, Transfor…
DP-900 · Describe an analytics workload on Azure
Analytical models use a star schema. The fact table holds numeric measures such as quantity and sales amount, one row per event, plus foreign keys to dimensions. Dimension tables describe th…
DP-900 · Describe an analytics workload on Azure
Azure Synapse Analytics unifies data integration pipelines, a dedicated SQL pool for enterprise warehousing, serverless SQL for querying lake files, and Apache Spark pools, all inside Synaps…
DP-900 · Describe an analytics workload on Azure
Real-time analytics needs an ingestion service and a processing engine. Azure Event Hubs ingests millions of events per second from applications and is Kafka-compatible; Azure IoT Hub does t…
DP-900 · Describe an analytics workload on Azure
Power BI Desktop is the free Windows application for connecting to data, shaping it with Power Query, building a data model with relationships and DAX measures, and designing report pages. R…
DP-900 · Describe an analytics workload on Azure
Each chart answers a particular question. Line charts show change over time. Bar and column charts compare values across categories. Pie and donut charts show composition at one moment and s…
DP-900 · Describe an analytics workload on Azure
A data warehouse stores curated, structured, historical data in a schema optimised for reporting, with strong governance and fast SQL. A data lake stores raw data of any type cheaply in obje…
GA-IQ · Digital analytics
Digital analytics turns instrumented interactions into data. Define event meaning and relevant parameters consistently, then verify that events fire at the intended time without duplication.…
GA-IQ · 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…
GA-IQ · Marketing measurement
Marketing measurement needs a clear event, denominator, attribution convention and time period. Click-through rate describes engagement with an impression, while conversion rate depends on t…
GCP-CDL · Exploring data transformation with Google Cloud
…ipelines and Pub/Sub for streaming inserts. Use it for analytics over large historical datasets, not for transactional workloads with many small updates; that is Cloud SQL or Spanner territo…
GCP-CDL · Exploring data transformation with Google Cloud
…ttern is Pub/Sub to Dataflow to BigQuery for real-time analytics. Dataproc is the alternative for teams that already have Spark or Hadoop jobs and want a managed cluster. Cloud Composer, bas…
GCP-CDL · Modernize infrastructure and applications with Google Cloud
…ces security and quotas, monetises access and provides analytics on usage. This is distinct from a load balancer, which distributes traffic, and from Cloud Endpoints, a lighter gateway for y…
GOOG-DA · Analytical reasoning
Analysis translates data into an answer to a specific question. Define the population, time period and metric before computing results. A rate depends on its denominator, and a change in who…
GOOG-DA · 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…
GOOG-DA · SQL querying
SQL joins determine which rows are combined, filters determine which remain, and aggregation summarizes the result. Confirm the intended grain before calculating a total. Joining one parent …
IIBA-CBDA · Business analysis
Business analysis clarifies the problem, affected stakeholders and desired change. Explore current processes and constraints, then compare options against the underlying need. A requested fe…
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