Amazon Redshift is part of the AWS cloud data warehousing suite of products. The Redshift software is a fast, fully-managed data warehouse that makes an ETL process simple and cost-effective to analyze all your data using standard SQL. You can focus on analyzing data to find meaningful insights, using your favorite data tools with Amazon Redshift.

Amazon Redshift powers analytical workloads for Fortune 500 companies, startups, and everything in between. Companies like Lyft have grown with Redshift from its time as a startup to a multi-billion dollar enterprise. Our data lake ETL services also support extending AWS Redshift by pairing AWS Redshift Spectrum to optimize storage capacity, cost, and performance.

Our automated data pipeline service solves the complexity of how to load data into Amazon Redshift. You don’t need to worry about ETL jobs, create a table, copy command, configuration, failures, or scaling your data pipeline infrastructure as your datasets and number of users grow. Simplified, automated processing will handle extracting data as well as transform the data needed to modernize operations.

To maximize productivity, your data needs to be organized, processed, and loaded into a data lake or warehouse. This data warehouse will act as a central repository of data aggregated from disparate sources. The data warehouse becomes the hub that allows you to plug in your favorite tools so you can query, discover, visualize or model that data.

You have a lot of powerful and affordable choices these days! Tools like Tableau Software, Looker, Mode Analytics, Chartio, and Microsoft Power BI are just a few options to consider. Please take a look at the complete list of tools or read our DZone article about creating an objective 10-point business intelligence tool checklist to help narrow the field. If you have questions, feel free to reach out to us

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No, there will not be any charges from Openbridge for your warehouse. Any charges are directly billed by the cloud provider (i.e., Amazon or Google) to you.

Every data lake or cloud warehouse has its distinct pricing model. Often pricing will vary by usage, which is defined by the compute and storage consumed or provisioned. Depending on your situation and requirements, different price-performance considerations may come into play. For example, if you need to start with a no or low-cost solution, Amazon Redshift only charges according to usage. This may provide you with the essentials to kickstart your efforts. If you have questions, feel free to reach out to us. We can offer some tips and best practices on how best to set up a warehouse based on your needs.

Redshift backs up your data to S3. Amazon Redshift maintains three copies of your data. Redshift can also asynchronously replicate snapshots to S3 for disaster recovery.

Yes, using standard SQL is supported. Amazon Redshift supports familiar SQL constructs. There may be some limitations or best practices, but the rule of thumb is that SQL is available.

Amazon encrypts data in transit and at rest. In transit, data supports SSL-enabled connections between your client application and your Redshift data warehouse. At rest, Amazon Redshift encrypts data using hardware-accelerated AES-256.

The first place to start is at AWS for Redshift documentation. Second, if you are setting up Redshift in your Openbridge account, we provide documentation as well.

Redshift makes it simple and cost-effective to run high-performance queries to build visualizations, models, and dashboards. Given the broad, standards-based approach used by AWS Redshift, you gain flexibility as you pursue data integration into your applications and systems. Another benefit is extending AWS Redshift by pairing AWS Redshift Spectrum data lake to optimize cost and performance.

When building your data strategy and architecture, it's essential to understand which data lakes or warehouses should be candidates for consideration. Typically, teams will be asking themselves answers like "How do I install and configure a data warehouse?" or "Which data warehouse solution will help me to get the fastest query times?" or "Which of my analytics tools are supported?"

This article covers key features and benefits of five widely used data lake and warehouse solutions supported by Openbridge to help you choose the right one: How to Choose a Data Warehouse Solution that Fits Your Needs. If you have answers, feel free to reach out to us.

Typically, you will not need services for Amazon Redshift. Most customers are up and running using their Amazon Redshift data quickly. However, if you need support, we do offer expert services. There may be situations where you have specific needs relating to Amazon Redshift data. These situations can require expert assistance to tailor Amazon Redshift data to fit your requirements. Ultimately, our mission is to help you get value from data, and this can often happen more quickly with the assistance of our passionate expert services team.

Yes, typically, Amazon Redshift requires authorization to access your data. You would provide us with the Amazon Redshift authorizations, so we can properly connect to their system. The process takes a few minutes to set up in your Openbridge account. You can read about how to set up Redshift in the Amazon Cloud console.

HOW TO ACCESS AMAZON REDSHIFT?

There are a few options, some of which we already referenced relating to BI and data analytic tools. Another option is to use SQL tools like SQLWorkbench or PSQL. Check our "Connecting to Clusters from Client Tools and Code" docs for more details on the latest options.

Amazon Athena is a serverless query service, so there is no infrastructure to set up or manage. This means that you can get up and running at low or no cost. Redshift is tailored for frequently accessed data that needs to be stored in a consistent, highly structured format. Another benefit is that Redshift Spectrum enables access to data residing on an Amazon S3 data lake. We know it can get complicated, so if you have questions, feel free to reach out to us.

Yes, Redshift supports querying data in a lake via Redshift Spectrum. Data lakes are the future, and Amazon Redshift Spectrum allows you to query data in your data lake without a fully automated data catalog, conversion, and partitioning service.

You can load data into Amazon Redshift from a range of data sources like Amazon Seller Central, Google Ads, Facebook, YouTube, or from on-premises systems via batch import. Openbridge automates these data pipelines so you can ingest data into your data warehouse cluster code-free.