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Cloud

https://blog.knoldus.com/data-driven-approach-to-your-cloud-migration-journey

Data-Driven Approach to Your Cloud Migration Journey

Business Insights, Cloud

Reading Time: 5 minutes Introduction:  The long sought-after objective for analytical environments is to make all data useful for analytics available to all people who need it. While life was simpler when we had a single, on-premises source of data for analytics (the enterprise data warehouse or EDW), it was also frustrating in terms of the latency inherent in getting data into the warehouse and prepared for analytics.  Fast-forward Continue Reading

Loading JSON data into Snowflake

AWS, Big Data and Fast Data, Cloud, Database, Snowflake, , , , , , , , ,

Reading Time: 4 minutes Have you ever faced any use case or scenario where you’ve to load JSON data into the Snowflake? We better know JSON data is one of the common data format to store and exchange information between systems. JSON is a relatively concise format. If we are implementing a database solution, it is very common that we will come across a system that provides data in Continue Reading

knoldus-blog-migrating-to-cloud

Migration to cloud: What organizations need to know?

Business Insights, Cloud

Reading Time: 2 minutes By 2025, 80% of enterprises intend to migrate from on-premise data centers to colocation, hosting, and the cloud, thus preparing for shutdowns of legacy data centers. Gartner With the COVID-19 crisis, companies have their eyes on cost optimization. Migrating to the cloud is becoming an obvious choice for companies as implementation costs are minimal, ROI is easier to predict, storage is less expensive, and businesses Continue Reading

KSnow: Know about Cloning in Snowflake

Analytics, AWS, Big Data and Fast Data, Cloud, Database, ML, AI and Data Engineering, Scala, SQL, Tech Blogs,

Reading Time: 2 minutes This blog pertains to Cloning feature in Snowflake, and I will explain you all the things you need to know about these features with practical example. So let’s get started. Zero Copy Clone Cloning also Snowflake as Zero Copy Clone in Snowflake. It used to create a copy of a Table or Schema or a Database. In most database, in order to make a copy Continue Reading

KSnow: Time Travel and Fail-safe in Snowflake

Analytics, AWS, Big Data and Fast Data, Cloud, Database, ML, AI and Data Engineering, SQL, Tech Blogs,

Reading Time: 5 minutes This blog pertains to Time Travel and Fail-safe in Snowflake, and I will explain you all the things you need to know about these features with practical example. So let’s get started. Introduction to Time Travel Snowflake allows accessing historical data of a point in the past that may have been modified or deleted at the current time. Using time travel functionality a number of Continue Reading

KSnow: Load continuous data into Snowflake using Snowpipe

Analytics, AWS, Big Data and Fast Data, Cloud, Database, ML, AI and Data Engineering, SQL, Tech Blogs,

Reading Time: 5 minutes In this blog, we will discuss loading streaming data into Snowflake table using Snowpipe. But before that, if you haven’t read the previous part of this blog i.e., Loading Bulk Data into Snowflake then I would suggest you go through it. As now we have been set so let’s get started and see what Snowpipe is all about. Introduction Snowpipe is a mechanism provided by Continue Reading

KSnow: Loading Data Into Snowflake

Analytics, AWS, Big Data and Fast Data, Cloud, Database, ML, AI and Data Engineering, SQL, Tech Blogs,

Reading Time: 5 minutes This blog pertains to Loading Data into Snowflake, and I will explain you about the various step involved in this process. So let’s get started. Before moving ahead, you can visit the blog on understanding the basic of Snowflake Data Warehouse in case you want to refresh your concepts. Now let’s talk about the actual topic for which you have click on this blog. To Continue Reading

Migrating MLFlow Server To Cloud: Part 2

Cloud, MLFlow, MLOps, Scala, Tech Blogs, ,

Reading Time: 4 minutes In my previous blog, I had discussed the first two phases of migrating MLFlow server to cloud. In this blog, I’ll be discussing the deployment of MLflow tracking server on Google Cloud Platform and migration of the existing data to the process. Also, I’ll be talking about optimizing the overall environment in the process. Deployment Step 1: Copy Contents from Disk Go to this link Continue Reading

Migrating MLFlow Server To Cloud: Part 1

Cloud, DevOps, ML, AI and Data Engineering, ,

Reading Time: 4 minutes The cloud migration process involves moving all or part of an organization’s data, apps, and services from on-premises data centres to a public or private cloud, where they are accessible on-demand over the Internet to authorized users. For most businesses considering cloud migration, the move is filled with promise and potential; scalability, flexibility, reliability, cost-effectiveness, improved performance and disaster recovery, and simpler, faster deployment. Cloud Continue Reading

Migration Assessment

Cloud, DevOps,

Reading Time: 7 minutes The first step in migration is to calculate the cost of the move and the cost of what you are running in your current setup. This is useful if you’re planning a migration from an on-premises environment, a private hosting environment, another cloud provider, or if you’re evaluating the opportunity to migrate and exploring what the assessment phase might look like. The assessment phase is Continue Reading

Introduction to Cloud Migration

Cloud, DevOps, ,

Reading Time: 4 minutes Cloud migration is the process of moving digital business operations into the cloud to leverage the advantages delivered by a successful digital transformation. Cloud migration is like a physical move, except it involves moving data, applications, and IT processes from some data centres to other data centres, instead of packing up and moving physical goods. Much like a move from a smaller office to a Continue Reading

Networking in Google Cloud Platform

Cloud, DevOps, ,

Reading Time: 6 minutes Virtual Private Cloud Network or simply network is a virtual version of a physical network. In Google Cloud Networking, networks provide data connections into and out of cloud resources – mostly Compute Engine instances. Securing the networks is critical to securing the data and controlling access to the resources. Google Cloud Networking achieves flexible and logical isolation of unrelated resources through its different levels.

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