GCP BigQuery
Vishal Jadhav Following are the most important topics in bigquery. This is also important topics in a perspective of GCP Profession Data Engineer exam. BigQuery basic concepts wildcard tables _table_suffix External Table…
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partition and clustering – BigQuery
Table of Contents Toggle Limitations can you create a partition without clustering? Limitations maximum 8000 partitions possible on a single table and upto 4 columns can be used for clustering…
Time travel – BigQuery
Table of Contents Toggle what is time travel in bigquery? Big query time travel – query for extracting data for last 24 hour. what is time travel in bigquery? Using…
What is a federated query in BigQuery?
Federated queries are used to query the data on external sources like Cloud Storage, BigTable, CloudSql, Spreadsheet in google Drive. Federated queries or have queries that access data that isn’t…
Understanding and Mitigating Hotspotting in Google Cloud Spanner
Learn how to prevent and mitigate hotspotting in Google Cloud Spanner to maintain optimal performance and scalability. This guide covers causes, signs, and strategies including schema design, query optimization, sharding,…
Short and wide tables in Google Cloud Bigtable.
Certainly! Let’s explore the difference between short and wide tables in Google Cloud Bigtable. In summary, short tables are best for single-keyed data with low latency, while wide tables excel…
Google Bigtable: Tall Tables vs Narrow Tables Explained
Bigtable is a NoSQL database service provided by Google Cloud Platform (GCP), designed to handle massive-scale, high-throughput workloads. While it’s commonly associated with storing and processing large amounts of data,…
Ultimate Guide to BigQuery Slots: Boosting Performance and Managing Costs Efficiently
BigQuery slots are a fundamental aspect of Google Cloud’s BigQuery service, which is a fully managed, serverless, highly scalable, and cost-effective multi-cloud data warehouse. Slots represent the computational power required…
GCP Dataflow – Apache beam
Most important concept In the context of data stream processing and windowing, these terms—tumbling windows, hopping windows, session windows, and global windows—describe different ways to group and analyze continuous streams…
Comprehensive Guide to Windowing Functions in Data Stream Processing: Tumbling, Hopping, Sliding, Session, and Global Windows Explained
windowing in stream processing