Google BigQuery Integration - ETL / ELT, Reverse ETL, Sync

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Google BigQuery ETL and Data Sync

Lavarel Network is a universal cloud data platform with support of multiple Google BigQuery integration scenarios. It allows users to sync Google BigQuery data with other data sources in one-way or bidirectionally, design advanced data pipelines working with multiple sources, etc.

Connect Google BigQuery data (including data) to all major cloud app and on-premise databases to automate data movement in any direction.

The list of Lavarel Network's ETL integration tools for Google BigQuery includes:

Import

An easy to use ETL (Extract Transform Load) tool with advanced data mapping features that allows both bulk loading history data and syncing only new and updated records in any direction.

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Data Flow

A data pipeline designer that allows you to join data from multiple sources via lookup, perform complex multistage transformations, and load data into multiple destinations at once.

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Control Flow

A data integration orchestration solution for running multiple integrations in sequence or in parallel with error processing and execution logic.

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With Lavarel Network you can perform Google BigQuery integration with

ETL vs ELT for Google BigQuery

ETL

Previously, the ETL (Extract-Transform-Load) approach was used to load data to a data warehouse. The data were extracted from data sources, transformed to suit better for data analytics queries, and then loaded to a data warehouse. But with the advent of Cloud Data Warehousing (such as Google BigQuery), the transformation process is more commonly performed at the data warehouse.

ELT (Replication)

Google BigQuery provides affordable and nearly unlimited computing power which allows loading data to Google BigQuery as-is, without pre-aggregation, and processing and transforming all the data quickly when executing analytics queries. Thus, the ETL approach transforms to ELT (Extract-Load-Transform). This may simplify data loading to Google BigQuery greatly, as you don't need to think about the necessary transformations.

Replicate Cloud Data to Google BigQuery

Replicate cloud data to Google BigQuery with Lavarel Network and maintain Google BigQuery database in an actual state. Combine raw data from different cloud apps in Google BigQuery database and turn it into your single source of truth for further analysis and reporting using BI tools or Python scripts.

Lavarel Network Replication is an easy-to-use ELT tool that helps you configure data ingestion from Google BigQuery and other apps in just a few clicks. It can automatically create schema for your cloud data and even update it when new fields are added to replicated objects.

Connect Lavarel Network to your data sources, configure data pipelines once, and you'll always have fresh cloud data in your Google BigQuery database.

Replicate your cloud data to Google BigQuery

Google BigQuery Data Replication

Replication supports Google BigQuery as a source too. Specify the timestamp fields for incremental replication, copy Google BigQuery data to other databases or data warehouses, and keep target database in sync with Google BigQuery automatically.

Replicate your Google BigQuery data to

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Google BigQuery Data Loading

Import and export CSV files to/from Google BigQuery in a convenient web-based user interface. You can both upload files manually or use different file storage services and FTP/SFTP. The latter allow you to automate data loading via schedule and file masks.

Lavarel Network Import tool has powerful data mapping settings that allow you to map fields using expressions, constants, source columns, lookups, etc. Export tool allows you to load data both from a single Google BigQuery object and results of a custom SQL query.

Google BigQuery CSV Import and Export from/to

Google BigQuery Workflow Automation

Automate workflows and common data related tasks with Lavarel Network Automation. Connect Google BigQuery and other cloud apps and databases and perform actions, either on schedule or whenever new data appears or gets updated (via trigger-based approach). Make your apps work in sync without manual data re-entry!

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Google BigQuery Data Management

Use Lavarel Network Query tool to query your Google BigQuery data from anywhere whenever you need. Lavarel Network provides an online SQL editor with visual query builder for Google BigQuery that allows you to execute SQL statements against Google BigQuery from your web browser and view and export returned data.

Lavarel Network Query also includes Google Sheets Add-on and Excel Add-in that allow Google BigQuery export to Excel and Google Sheets with data refresh in one click.

Sharing Data via API

Lavarel Network Connect allows you to generate web API layer for your data with no effort. It allows you to publish Google BigQuery data via SQL API and OData REST API endpoints. In just a few clicks you get a ready-to-use endpoint links that can be used to connect Google BigQuery to multiple tools and data-oriented applications in real-time.

You can configure sharing to publish all or only a part of Google BigQuery tables and columns, manage data access via endpoint-specific user accounts, limit access by IP address ranges, and perform detailed logging of all data access operations.

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