Snowflake is an analytical data warehouse provided as Software-as-a-Service (SaaS). Snowflake provides the user with a data warehouse that is quicker, easier to use, and far more flexible than any other traditional data warehouses. Basically, the Snowflake’s data warehouse structuring is not built on an existing database or big data software platform such as Hadoop. The Snowflake data warehouse uses a new SQL database engine with a unique architecture designed only for the cloud. To the user, Snowflake has many similarities to other enterprise data warehouses but also has many unique functionaries and capabilities
The Snowflake brings to you an architecture that is hybrid of traditional shared-disk database architectures and shared-nothing database architectures. Similar to shared-disk architectures, It uses a central data repository for existing data that is accessible from all nodes in the data warehouse. But it is similar to shared-nothing architectures, Snowflake processes the queries using MPP (massively parallel processing) compute clusters where each and every node in the cluster stores a portion of the entire data set locally. This kind of approach offers the data management advantages of a shared-disk architecture, but with the higher performance and all the benefits of a shared-nothing architecture.
Some of the unique capabilities include:
- A Multi-cluster Shared Data Architecture across any Cloud
- Most secure Data-sharing and Collaboration
- PaaS (Platform as a service) with Zero Maintainance
Snowflake’s data warehouse is a true SaaS offering:
- There is no hardware (virtual or physical) for you to select, install, configure, or manage.
- There is no software for you to install, configure, or manage.
- Ongoing maintenance, management, and tuning are handled by Snowflake.
The latest developments in Snowflake are significant and the customer pool of Snowflake has risen to a commendable extent, with the rising customer base Snowflake announces the latest Data Cloud Ecosystem for Data Sharing. The Data Cloud allows for friction-less data by minimizing the copying and replicating of data. To use it, customers must simply designate data for sharing and grant the appropriate permissions. Recipients can then process against data in place, without ever gaining physical custody of that particular data. The result is data that is always up to date; updates to shared data sets by the providers are instantly available to their customers.
Many organizations have been struggling to completely mobilize data in the service of their business. Snowflake was specifically designed to leverage the incredible scale and computing power of the cloud. As part of the Data Cloud, organizations completely mobilize their data by blending their data with a broader context, giving them the power to achieve crucial insights beyond what has previously been possible.
Snowflake also took the opportunity to announce new features for its Snowflake Cloud Data Platform. Some of the most notable ones from a customer point of view are:
- Snowsight: A new analyst experience within Snowflake to execute the user queries and commands with visualization and dashboards for a streamlined experience.
- Search Optimization Service: Dramatically improved performance for point lookup queries on huge amounts of data.
- External Functions: Use Snowflake to call external services for richer query support and to build robust data pipelines that integrate with third-party libraries or services.
Latest Developments in SnowFlake
Another most anticipated news about Snowflake would be the announcement of the Snowflake IPO
The partnership with the Panther Labs has been very fruitful for Snowflake.
In the recent past, Data Analysis has been the best job. With Snowflake certification in your resume, you can be hired by some of the best companies in the market. Learning Snowflake improves the odds of securing a job by 80%. Each and every to organizations has moved into Snowflake. Just go through the Glassdoor reviews about Snowflake jobs. It is one of the most anticipated jobs in 2020.
GoLogica’s role in SnowFlake Training:
With GoLogica’s Snowflake Training, one can excel in the field of Data Analysis. With the up-gradation of the course syllabus with the latest trends to having the trainers who have the apt experience to teach the in-depth concepts. This Snowflake Training is the one to go for. There are different modes of training also available in this training. The online mode where the student and the trainer connect remotely as per the convenience of time with both the candidates. With flexibility in training modes, GoLogica also offers weekend classes for working professionals.