Now save up to 52 percent when migrating to Azure Databricks

More than ever before, companies are relying on their big data and artificial intelligence (AI) systems to find new ways to reduce costs and accelerate decision-making. However, customers using on-premises systems struggle to realize these benefits due to administrative complexity, inability to scale their fixed infrastructure cost-effectively, and lack of a shared collaborative environment for data engineers, data scientists and developers.

To make it easier for customers to modernize their on-premises Spark and big data workloads to the cloud, we’re announcing a new migration offer with Azure Databricks. The offer includes:

  • **Up to a 52 percent discount **over the pay-as-you-go pricing when using the Azure Databricks Unit pre-purchase plans. This means that customers can free themselves from the complexities and constraints of their on-premises solutions and realize the benefits of the fully managed Azure Databricks service at a significant discount.
  • **Free migration assessment **for qualified customers.

#announcements #big data #migration

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Now save up to 52 percent when migrating to Azure Databricks
Adaline  Kulas

Adaline Kulas

1594166040

What are the benefits of cloud migration? Reasons you should migrate

The moving of applications, databases and other business elements from the local server to the cloud server called cloud migration. This article will deal with migration techniques, requirement and the benefits of cloud migration.

In simple terms, moving from local to the public cloud server is called cloud migration. Gartner says 17.5% revenue growth as promised in cloud migration and also has a forecast for 2022 as shown in the following image.

#cloud computing services #cloud migration #all #cloud #cloud migration strategy #enterprise cloud migration strategy #business benefits of cloud migration #key benefits of cloud migration #benefits of cloud migration #types of cloud migration

Aisu  Joesph

Aisu Joesph

1626490533

Azure Series #2: Single Server Deployment (Output)

No organization that is on the growth path or intending to have a more customer base and new entry into the market will restrict its infrastructure and design for one Database option. There are two levels of Database selection

  • a.  **The needs assessment **
  • **b. Selecting the kind of database **
  • c. Selection of Queues for communication
  • d. Selecting the technology player

Options to choose from:

  1. Transactional Databases:
    • Azure selection — Data Factory, Redis, CosmosDB, Azure SQL, Postgres SQL, MySQL, MariaDB, SQL Database, Maria DB, Managed Server
  2. Data warehousing:
    • Azure selection — CosmosDB
    • Delta Lake — Data Brick’s Lakehouse Architecture.
  3. Non-Relational Database:
  4. _- _Azure selection — CosmosDB
  5. Data Lake:
    • Azure Data Lake
    • Delta Lake — Data Bricks.
  6. Big Data and Analytics:
    • Data Bricks
    • Azure — HDInsights, Azure Synapse Analytics, Event Hubs, Data Lake Storage gen1, Azure Data Explorer Clusters, Data Factories, Azure Data Bricks, Analytics Services, Stream Analytics, Website UI, Cognitive Search, PowerBI, Queries, Reports.
  7. Machine Learning:
    • Azure — Azure Synapse Analytics, Machine Learning, Genomics accounts, Bot Services, Machine Learning Studio, Cognitive Services, Bonsai.

Key Data platform services would like to highlight

  • 1. Azure Data Factory (ADF)
  • 2. Azure Synapse Analytics
  • 3. Azure Stream Analytics
  • 4. Azure Databricks
  • 5. Azure Cognitive Services
  • 6. Azure Data Lake Storage
  • 7. Azure HDInsight
  • 8. Azure CosmosDB
  • 9. Azure SQL Database

#azure-databricks #azure #microsoft-azure-analytics #azure-data-factory #azure series

Eric  Bukenya

Eric Bukenya

1624713540

Learn NoSQL in Azure: Diving Deeper into Azure Cosmos DB

This article is a part of the series – Learn NoSQL in Azure where we explore Azure Cosmos DB as a part of the non-relational database system used widely for a variety of applications. Azure Cosmos DB is a part of Microsoft’s serverless databases on Azure which is highly scalable and distributed across all locations that run on Azure. It is offered as a platform as a service (PAAS) from Azure and you can develop databases that have a very high throughput and very low latency. Using Azure Cosmos DB, customers can replicate their data across multiple locations across the globe and also across multiple locations within the same region. This makes Cosmos DB a highly available database service with almost 99.999% availability for reads and writes for multi-region modes and almost 99.99% availability for single-region modes.

In this article, we will focus more on how Azure Cosmos DB works behind the scenes and how can you get started with it using the Azure Portal. We will also explore how Cosmos DB is priced and understand the pricing model in detail.

How Azure Cosmos DB works

As already mentioned, Azure Cosmos DB is a multi-modal NoSQL database service that is geographically distributed across multiple Azure locations. This helps customers to deploy the databases across multiple locations around the globe. This is beneficial as it helps to reduce the read latency when the users use the application.

As you can see in the figure above, Azure Cosmos DB is distributed across the globe. Let’s suppose you have a web application that is hosted in India. In that case, the NoSQL database in India will be considered as the master database for writes and all the other databases can be considered as a read replicas. Whenever new data is generated, it is written to the database in India first and then it is synchronized with the other databases.

Consistency Levels

While maintaining data over multiple regions, the most common challenge is the latency as when the data is made available to the other databases. For example, when data is written to the database in India, users from India will be able to see that data sooner than users from the US. This is due to the latency in synchronization between the two regions. In order to overcome this, there are a few modes that customers can choose from and define how often or how soon they want their data to be made available in the other regions. Azure Cosmos DB offers five levels of consistency which are as follows:

  • Strong
  • Bounded staleness
  • Session
  • Consistent prefix
  • Eventual

In most common NoSQL databases, there are only two levels – Strong and EventualStrong being the most consistent level while Eventual is the least. However, as we move from Strong to Eventual, consistency decreases but availability and throughput increase. This is a trade-off that customers need to decide based on the criticality of their applications. If you want to read in more detail about the consistency levels, the official guide from Microsoft is the easiest to understand. You can refer to it here.

Azure Cosmos DB Pricing Model

Now that we have some idea about working with the NoSQL database – Azure Cosmos DB on Azure, let us try to understand how the database is priced. In order to work with any cloud-based services, it is essential that you have a sound knowledge of how the services are charged, otherwise, you might end up paying something much higher than your expectations.

If you browse to the pricing page of Azure Cosmos DB, you can see that there are two modes in which the database services are billed.

  • Database Operations – Whenever you execute or run queries against your NoSQL database, there are some resources being used. Azure terms these usages in terms of Request Units or RU. The amount of RU consumed per second is aggregated and billed
  • Consumed Storage – As you start storing data in your database, it will take up some space in order to store that data. This storage is billed per the standard SSD-based storage across any Azure locations globally

Let’s learn about this in more detail.

#azure #azure cosmos db #nosql #azure #nosql in azure #azure cosmos db

Now save up to 52 percent when migrating to Azure Databricks

More than ever before, companies are relying on their big data and artificial intelligence (AI) systems to find new ways to reduce costs and accelerate decision-making. However, customers using on-premises systems struggle to realize these benefits due to administrative complexity, inability to scale their fixed infrastructure cost-effectively, and lack of a shared collaborative environment for data engineers, data scientists and developers.

To make it easier for customers to modernize their on-premises Spark and big data workloads to the cloud, we’re announcing a new migration offer with Azure Databricks. The offer includes:

  • **Up to a 52 percent discount **over the pay-as-you-go pricing when using the Azure Databricks Unit pre-purchase plans. This means that customers can free themselves from the complexities and constraints of their on-premises solutions and realize the benefits of the fully managed Azure Databricks service at a significant discount.
  • **Free migration assessment **for qualified customers.

#announcements #big data #migration

Seamus  Quitzon

Seamus Quitzon

1595205213

How to perform migration rollback in laravel

As we know that laravel migration provides very simple way to create database table structure. We need to create migration file and write table structure then migrate that migration. Sometimes we need to rollback that migration. So here we will discuss about the migration rollback in laravel.

We can run the rollback artisan command to rollback on a particular step. We can execute the following artisan command.

php artisan migrate:rollback --step=1

Every time when we will rollback, we will get the last batch of migration.

**Note: **This rollback command will work on laravel 5.3 or above version. For the version below 5.3, there is no command available for migration rollback in laravel.

We can also use the following command to rollback and re migrate.

php artisan migrate:refresh --step=2

It will rollback and remigrate last two migration.

You can also checkout the article for executing single migration by clicking on the link below.

How to migrate single migration in laravel

#laravel #how to perform rollback migration in laravel #laravel migration rollback #migration refresh in laravel #migration rollback batch in laravel #migration rollback for one specific migration #migration rollback in laravel