Because Moving Data to Google BigQuery Shouldn't be Tedious or Time-Consuming

 

Skyvia for Moving Data to Google BigQuery Data Warehouse for Storing and Querying Large Data Sets

Simple and Easy Data Loading to Google BigQuery

Skyvia allows users to load your data from cloud apps or in-house databases to Google BigQuery data warehouse in a few simple steps. Skyvia offers perfect tools for automating data loading from various cloud applications and on-premise databases to Google BigQuery. You can configure the operation in convenient GUI wizards with no coding and let Skyvia do the rest.

Skyvia supports not just one-time data loading operation. It can help you to integrate your data sources with Google BigQuery and automate updating your Google BigQuery with fresh data from your cloud apps with no additional effort or involvement!

With Skyvia you can:

  • Quickly load data from a cloud application or database to Google BigQuery
  • Automatically keep your Google BigQuery up-to-date with fresh data from other sources
  • Configure data loading in a few simple steps visually
  • Reduce time, efforts, and costs for data loading

Integrate Data from Various Sources

It's hard to analyze your data when they are spread between various applications. Skyvia can help you to quickly load your data from leading cloud applications to Google BigQuery, where you can analyze them and get insights.

Skyvia supports loading data from the following cloud apps to Google BigQuery:

Oracle

MySQL

PostgreSQL

SQL Server

SQL Azure

Amazon RDS

ETL for Google BigQuery

ETL approach

A few years ago, 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 approach

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 greately, as you don't need to think about the necessary transformations.

Cloud Data Replication to Google BigQuery

Replication

Cloud data replication to Google BigQuery has never been easier than with Skyvia. To replicate your data, you only need to specify connections and select objects to replicate. Skyvia will do all other operations for you. It will create the necessary tables in Google BigQuery automatically and securely load all the data to them in the most efficient way.

If necessary, you can exclude certain fields from replication or configure data filters to replicate only a part of data, satisfying some criteria.

Real-time Data Warehousing

Real-time Data Warehousing with incremental updates and change data capture

After the first replication, Skyvia can keep the replicated data in Google BigQuery up-to-date automatically, with no need for any additional effort. Just schedule replication for automatic execution and always have fresh data in Google BigQuery.

Skyvia does not load all the data every time, it uses Change Data Capture (CDC) to determine and load only the necessary changes from your cloud source to Google BigQuery.

Replication can be scheduled to run up to once per minute, allowing real-time analytics on your cloud data warehouse.

Data Import to Google BigQuery

Import to Cloud Data Warehouse

If you need more than just to copy data from a data source to Google BigQuery, you may use Skyvia's powerful data import functionality. Skyvia's data import tools will correctly load data when source and target tables have different structure and offer various transformation features you can perform on the source data before loading them to the data warehouse.

  • Import data with different structure in source and target
  • Apply various mathematical, string, and logical expressions
  • Load data from multiple related tables into one target table or vice versa
  • Use source or target lookups and many other kinds of mapping
  • Configure import with powerful mapping settings

Load Data from Google BigQuery

If you ever need to load data from Google BigQuery, you may use Skyvia's data import with Google BigQuery as a source and any supported cloud app or database as a target.

Google BigQuery Data Management

Google BigQuery data access

Use the Skyvia Query tool to query and manage your Google BigQuery data from anywhere - anytime you need to work with your data. Skyvia 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 then view and export returned data as tables or charts.

OData Connector for Google BigQuery

Google BigQuery OData connector

Skyvia Connect allows you to expose your Google BigQuery data via OData REST API. This makes the data available for world of tools and data-oriented applications and allows you to integrate your data with other solutions, supporting OData protocol. Skyvia Connect allows you to share all or only a part of Google BigQuery tables and columns, provides data access control via its own, endpoint-specific, user accounts and IP addresses, and performs detailed logging of all data access operations.

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