Month: November 2022

Demand for cloud and cloud computing is booming worldwide, and many organizations are considering Snowflake migration. As business data is increasingly important to make strategic and data-driven decisions, data experts integrate cloud-based storage solutions to maintain data security, integrity, and relevancy. 

Snowflake, a cloud-based data warehouse solution, is a scalable and flexible data storage solution for companies that intend to analyze, manage, and store big data. This ultimate Snowflake migration tutorial will reveal why companies should choose Snowflake and the steps to move data securely from on-premise to the cloud. 

ALSO READ: Data Migration Process: Ultimate Guide To Migrate Data To Cloud

Why Should Businesses Choose Snowflake Migration?

Snowflake is built for the cloud, and businesses that intend to leverage the benefits of modernized data storage solutions should focus on Snowflake migration. Here are a few ways Snowflake can benefit modern and data-driven organizations.

• Experts can migrate structured and semi-structured data into the cloud without transforming or converting it into a fixed relation schema. 
• Snowflake’s cloud data warehouse is extremely easy to set up and manage. 
• The best part is that there is no need to keep software up-to-date or worry about provisioning hardware with the modern data warehouse. 
• Unlike several other platforms and tools, Snowflake offers flexibility to businesses. They can scale the software up and down without complexities or downtime.

For a successful Snowflake migration, business owners should focus on following a well-structured cloud data migration process. Inferenz’s data migration experts specialize in Snowflake cloud services and can help SMEs and large enterprises move loads of data safely. Read the case study to learn how Inferenz experts helped a US-based healthcare organization with its services.

Process To Migrate Data To Snowflake 

Migrating data from on-premise to the cloud can help companies reduce costs and gain a competitive edge in the industry. The increased reliability, security, and agility of cloud data migration allow companies to manage and leverage the data for the company’s profit. However, according to the Gartner report, 83% of companies fail to migrate data to Snowflake. Below are the steps organizations can follow to safely move their business data from on-premise data solutions to cloud data migration.

• Step 1 – Analyze The Data

Before starting data migration, experts should focus on the documentation of data and information that needs to be moved. For instance, if the company plans to move its data from Oracle to Snowflake, it should prepare one list of databases, objects, and schemas that need not be touched and another of datasets that need to be moved. The initial step will help companies prioritize essential data sets that require quick migration and can benefit the company.

• Step 2 – Select & Split Data

Moving data from on-premise to the cloud can be straightforward if data experts follow a structured approach, incorporate advanced tools, and utilize valuable resources. Enterprises should start their process by selecting and splitting data using a file splitter such as ETL tools or GSplit. The modern tools and technologies during data migration will enable data experts to break down big files into small chunks and make the process faster.

• Step 3 – Stage The Data

The third step is to migrate all the selected data to the Snowflake staging area. Open the SnowSQL command line client (CLI) – a CL environment that data experts can download from the Snowflake platform. Migration experts can use the PUT command with Snowflake syntax to stage all the local files. In the command line utility, experts can set any level of parallelization between 1 and 100. However, one critical point is that the lower the number, the less power is required to execute the command.

• Step 4 – Auto-Compress Files

While staging the local files to the Snowflake database, it is crucial to auto-compress them to maintain high data migration speed. Experts must identify whether or not they have manually zipped the files beforehand. If the files are manually zipped, they can set the auto-compress feature to a “Boolean value of false.”

• Step 5 – Verify Cloud Migration 

Once all the local CSV files are successfully transferred to Snowflake’s internal stages, data migration experts can see the list of all the migrated files in the directory. Snowflake directory contains all the newly and previously migrated files. In addition, professionals can create tables and query data in their Snowflake dashboard using the stage data available.

With these five steps, organizations can complete Snowflake migration and move their on-premises to the cloud. However, large enterprises should integrate the latest data migration cloud tools and resources to make the data migration faster and more secure.

ALSO READ: Data Warehousing vs. Data Virtualization – How to Store Data Effectively?

Migrate Data To Snowflake Successfully With Inferenz 

Storing, managing, and analyzing data stored in the cloud is straightforward and help experts make profitable business decisions. As you see, migrating data from on-premise to the cloud requires technical knowledge, access to tools, and time. Partnering with experts is the ultimate way to migrate data to Snowflake and benefit from the rich array of Snowflake features.

At Inferenz, we help SMEs and large enterprises with on-premise to cloud data migration. The ultimate goal of the expert team is to help organizations in Snowflake migration while keeping the downtime during migration to a minimum.

Data is the fuel for modern and data-driven businesses, and many enterprises intend to prepare a well-structured data migration process to migrate data. The main aim behind the strategy is to safely integrate and migrate the entire business data to the cloud. 

Cloud data migration is the transfer of information from on-premise to cloud computing infrastructure with the help of an ideal data migration process. This guide will help enterprises understand the entire data migration process and why they need to migrate their data to the cloud.

Data Migration Process Explained

Migrating enterprise data from one infrastructure to another is tedious, especially if the in-house team lacks the necessary knowledge. Enterprises and data migration experts should follow a comprehensive data migration plan to avoid extensive delays, information breaches, and over-budget issues. Below is the step-by-step process for cloud-based data migration that organizations should follow.

ALSO READ: Data Migration Process: Best Practices To Migrate Data Effectively

• Planning 

According to the data revealed by Oracle, an enterprise-scale data migration process lasts from six months to two years in general. For this reason, cloud data migration should start with proper planning, and data experts should evaluate the existing data. Data analysts should filter out all the unnecessary information before starting the data migration process to make the process easy. In addition, source and target systems analysis should be done to avoid unexpected issues during the post-migration stage.

• Data Auditing & Profiling 

Once data experts analyze the data to be migrated, their next step is to focus on data auditing and profiling. The second stage of the data migration process involves identifying data quality issues, detecting possible conflicts, and eradicating anomalies and duplications before migration. Transferring clean data will help data migration experts make the process smoother and ensure that the tedious process does not harm the business operations while migrating data.

• Data Backup

Many business owners skip the backup step while formulating the data migration process. However, this is one of the most preeminent steps that adds an extra layer of protection to data while executing a data migration plan. Backup of complete business data before the migration will help eliminate the chances of a data breach during unexpected migration failures.

• Migration Design

The data migration design clarifies all the necessary migration and testing rules that data experts should consider while executing the data migration process. Preparing a migration design can be overwhelming, especially if the in-house team is unaware of the project’s complexity. An expert team of data engineers, an ETL developer, and a business analyst can help prepare a data migration design customized according to the volumes of data involved.

Inferenz data migration experts help enterprises prepare a data migration strategy and ensure that it is well-executed to get the best outcomes. The Inferenz team has worked with a US-based healthcare service provider to help them migrate data using cutting-edge technologies. Read more about it in the detailed case study here.

• Execution 

Execution is the most critical phase of the data migration process, as this is where the actual data migration in the cloud happens. In case of large amounts of data, experts can transfer information in trickles to leverage zero downtime and avoid migration failure.

• Testing 

Testing each phase of the data migration plan helps data experts fix problems on time and avoid causing havoc to the whole migration process.

• Post-Migration Audit

The final data migration step is to follow a post-migration audit to ensure that the transported data is valid and clean. Once the data migration process is completed, the post-migration audit will help the team identify loopholes and correct them before retiring the old system.

The Importance Of Data Migration Process

Enterprises have a lot of crucial data that is scattered over different systems. Migrating data to a single source allows organizations to get a complete overview of business data, make critical business decisions, and deliver top-notch customer service in real time. No matter whether it is SME or a large-scale enterprise, data migration provides a wide range of business opportunities to every size of organization.

• Technologies are constantly evolving, and businesses that want to keep pace with the ever-growing technology should adopt data migration to improve their performance in the competitive market. 
• A significant cloud migration benefit is that it allows organizations to scale up and down with more flexibility and less complexity. 
• After cloud data migration, organizations can leverage simplified data management, better business performance, and improved reliability from the centralized environment. 
• Cloud data migration flexibility is crucial for startups and SMEs who want to make profitable business decisions by leveraging data.

ALSO READ: Predictive Analytics for eCommerce Industry in 2022

Move Your Data From On-Premise To Cloud With Experts

Migrating data and upgrading to advanced systems is critical for business success; however, only experienced data migration specialists should carry out the data migration process. After all, migrating data from on-premise to the cloud is a complex process that requires building a roadmap from start to finish.

With Inferenz, your data migration is at minimum risk as we have a team of dedicated data experts. The data engineers will prepare a robust strategy to make the data migration process simple, cost-effective, and scalable.

Data migration involves transferring millions of data units from the existing database to a new system to boost productivity and reduce storage costs with the upgraded applications. Modern businesses powered by big data should follow a well-structured process to move data from inputs to the data lake, from the data warehouse to any data mart, or to migrate data from one repository to another without dealing with a data breach.

A lack of adequate data migration strategy or failure of the process midway can lead to over-budget issues and affect business operations. In addition, businesses can find it hard to move data from one system to another without dealing with data loss if they do not follow a rock-solid data migration process. In this data migration ultimate guide, enterprises and beginners will understand different types of data migration and the best practices they can follow to avoid any problems during the process.

ALSO READ: Web 3.0 Tutorial: Ultimate Guide for Students, Developers, and Enterprises

Types Of Data Migration Services

The data migration process involves transferring existing business data from one system to another to improve data quality and business profits. However, before commencing the process, data migration experts need to focus on data preparation, extraction, and transformation to ensure that all data is transferred to the new system. Below are the six main data migration types every enterprise owner should know.

• Storage Migration

Modern business requires effective and unique data-storing solutions that suit their business needs. As the demand for technology upgrades is rising to stay competitive in the digital world, many big enterprises that rely on mainframes will move to virtual servers in 2022 and beyond. Storage migration involves transferring data from one physical medium to another or hardware to cloud-based storage solutions to maximize business profits.

• Database Migration

Database migration is switching from an old database to a new vendor to make information easy to manage and access for the in-house team. There are generally two types of database migration – homogeneous and heterogeneous data migration processes. The former involves upgrading to the latest version of DBMS and is accessible, whereas the latter consists of switching to a new DBMS that incorporates complexities.

• Application Migration 

Application migration occurs when an enterprise changes its application vendor or application software. It is a complex data migration type as the source and target infrastructure has different data models and uses distinctive data formats that threaten data integrity.

• Cloud Migration

Due to the benefits of cloud data migration, many organizations plan to move data from on-premise to the cloud. A report by Gartner indicates that the IT spending of enterprises will increase from $1.3 trillion to $1.8 trillion from 2022 to 2025. The best way to move data from on-premises to the cloud is by leveraging the right data migration tool that fits business needs and ensures no data breach during the process.

• Business Process Migration

When two businesses merge, they require transferring information, database, and business applications to the new environment. It involves mergers and acquisitions that help companies to enter a new market and overcome competitive challenges with a new business process.

• Data Center Migration

A data center, a real-world location, is the place where enterprises keep all their critical data and information. It consists of servers, equipment, IT technology, network, and switches. The data center migration process involves relocating all digital assets or existing wires and computers to a new system and servers to enhance productivity and efficiency.

Inferenz data experts help SMEs and large enterprises migrate data from one system to another with the best data migration tools. Data experts of Inferenz have recently helped a leading US-based healthcare service provider by implementing quick and efficient data warehouse solutions. Read out the detailed case study here.

Best Data Migration Practices

Data migration processes can vary from simple to complex, depending on the volumes of data being transferred and the differences between source and target locations. Following some golden rules is the best way to avoid critical delays in migration and make the overall process smooth.

• Before executing the data migration process, business professionals should use tested backup resources to back up all the data and prevent data loss during migration. 
• Cleaning old data is critical to eliminating inferior quality data and raising its quality standards before it is transmitted to the new system. 
• Enterprises should set up a dedicated migration team and strategy to steer the project in the right direction and get the expected results. 
• Data experts should use practical data migration tools and keep testing the whole process from planning, designing, executing, and maintaining data at different phases. 
• Experts should switch off the old database system after completing the data migration process. 

ALSO READ: Machine Learning in eCommerce: How ML Reshaped Price Optimization?

Migrate Your Data With Inferenz Experts

Several factors can affect data transmission from one system to another and contribute to losing essential business data. To ensure security, data experts must focus on encrypting the complete business information before beginning data migration.

Inferenz data migration experts help businesses migrate data from start to end, including planning, auditing, backing up, designing, executing, testing, and auditing. If you are an enterprise looking forward to migrating the on-premise data, Inferenz experts can help you make your data migration smooth and successful.