Is there a way to backup azure blob storage?
If we have to maintain a copy in another storage account or subscription, cost will be doubled, right?
Is there a way to perform backup at a reduced cost instead of doubled cost ?
Any other built-in functionality available in azure like back up zipped/compressed blob for backup functions ?
Configure your blob storage as cool blob and copy to another cool blob or another storage provider like Google Nearline or S3 IA.
Related
It looks to be a confusion for users like me as what are the main differences between azure blob storage and azure data lake storage, and in what user case azure blob storage fits better than azure data lake storage, and vice versa?
Thank you.
Data Lake Storage Gen1 Purpose: Optimized storage for big data analytics workloads
Azure Blob Storage Purpose: General purpose object store for a wide variety of storage scenarios, including big data analytics
Data Lake Storage Gen1 Use Cases: Batch, interactive, streaming analytics and machine learning data such as log files, IoT data, click streams, large datasets
Azure Blob Storage Use Cases: Any type of text or binary data, such as application back end, backup data, media storage for streaming and general purpose data. Additionally, full support for analytics workloads; batch, interactive, streaming analytics and machine learning data such as log files, IoT data, click streams, large datasets
Further more details you could refer to this doc:Comparing Azure Data Lake Storage Gen1 and Azure Blob Storage, there is a table summarizes the differences between Azure Data Lake Storage Gen1 and Azure Blob Storage along some key aspects of big data processing.
Adding to the above,
Azure Data Lake Storage Gen2 is a set of capabilities dedicated to big data analytics, built on top of Azure Blob Storage.
I have incoming blobs in azure storage account for every day-hour, now I want to modulate the structure of the JSON inside the blobs and injest them into azure data lake.
I am using azure data factory and databricks.
Can Someone let me know how to proceed with it? I have mounted blob to databricks but now how to create a new structure and then do the mapping?
We're storing about 4 million files (4 TB or so) of miscellaneous files, mainly Word and PDF, in Azure BLOB storage. I'm looking to replicate this data in a different cloud for disaster recovery and peace of mind, and Amazon S3 seems as good a candidate as any.
Trouble is, I don't have a local server large enough to hold a local copy of these files. Ideally, I'd want to sync right from Azure Blob to S3. We're adding new files continually, so the sync would need to be frequent as well (multiple times per day).
I see lots of options for download from Azure to local => upload from local to S3, but very little for direct Azure => S3 sync. What are some good options here?
We can migrate the azure storage data to amazon s3 by node.js package.
You can see the full description provided here.
You can also use azure data factory to replicate as it provides a copy tool which can be modified according to your needs and settings for transferring data .
You can refer to this document on Azure data factory and copy tool.
I pulled data into Google BigQuery tables and also generate some new datasets based on these data daily.
These original data and generated datesets, I would save in Google Cloud Storage for two purposes,
These are the backup copy of my Google BigQuery data.
Also some of these datasets saved in Google Cloud Storage would be dump loaded to AWS elasticsearch (so they are also the backup copy data for AWS Elasticsearch)
BigQuery or AWS Elasticsearch may only keep 2 months to 1 year data. So the data older than that, I only have one copy on Google Cloud Storage. (I need to have some backup options, such as 1 months snapshots for Google Cloud Storage which I can go back to if needed.)
My questions are
How could I keep a backup or snapshot of Google Cloud Storage data to prevent the data loss in Google Cloud Storage. Such as let me at least trace back 7 days or 1 months of the data in Google Cloud Storage?
So in the case of data lost, (accidentally delete data etc), I can go back a few days to get the data back.
Thanks!
You can backup your cloud data to some local storage, CloudBerry has option "Cloud to Local".
I can recommend the software I am using myself- Cloudberry backup that can backup cloud storage to local storage or to other cloud storage.The toolsupports various cloud storages i.e.Amazon, Google, Azure etc. You can also download and upload data with the help of the tool, thus it's better to install it on Google VM.
I wonder to know how data is stored on disk in Azure Table? are they stored in a columnar format like HBase?
Microsoft Azure Table is a form of Microsoft Azure Storage, a scalable cloud storage system. There are three layers within an Azure Storage stamp and Stream layer stores the bits on disk, and in charge of distributing and replicating the data across many servers to keep the data durable within a stamp. Please see “Stream Layer” section in the following paper (http://sigops.org/sosp/sosp11/current/2011-Cascais/11-calder-online.pdf) to understand how we manage data on the hardware.
I can't say for sure, but I don't think so. Azure Table Storage is a key-value store. HDInsight is Azure's column-family storage, built on Hadoop, similar to HBase.