Excel Snowflake Integration: 2 Easy Methods

Snowflake is a common network where you can examine your several analytic workloads, and share the organized data handily and securely. It is a cloud data management service provider. Snowflake also permits you to govern, discover and implement diverse data with a safe and user-friendly interface. Snowflake offers a wide range of Integration support, in this article, you will see Excel Snowflake Integration.

In this article, you will also get to read about what Snowflake is and what are the key features of a Snowflake. You will also get to know about Microsoft Excel and the different key features of Microsoft Excel which helps in business management and analysis. Further, we have discussed different methods for Excel Snowflake Integration.

What is Snowflake?

A Snowflake is a Software as a service platform where it procures a data warehouse in which you can catalog and investigate the data. Snowflake is assembled in such a manner that there is no need for hardware and software to enroll, configure and manage.  Management, maintenance, and tuning are done by the Snowflake itself. Snowflake is manufactured architecturally by three main elements which make Snowflake a prominent cloud data management and a truly Software as a service offering. The three main elements of Snowflake are as follows

Key Features of Snowflake

• Security: In Snowflake, you can select the geographical location for the storage of data. Also, credentials feature is available to secure the data.
• Standard and extended SQL: Snowflake contains most DDL and DML in SQL.
• Tools and interfaces: Virtual warehouse and management of data are done using GUI and command line.
• Connectivity: Snowflake offers a free trial and a wide ecosystem that is supported by third partners and technology.
• Data sharing: Using Snowflake you can upload and download unlimited data and secure it in Snowflake.

What is Microsoft Excel?

Microsoft Excel is the most widely and preferably used tool for the analysis and storing of data. Microsoft Excel is a platform that provides a spreadsheet format to store data. With the help of Microsoft Excel, you can manipulate, visualize and analyze the data according to your convenience.

Microsoft Excel offers you chart, sort, and filter formats. It becomes very easy to manage and grow your business because of Microsoft Excel. If you want to calculate the whole spreadsheet or create the lab report, everything can be done with Microsoft Excel. There are plenty of rows and columns available in a Microsoft Excel spreadsheet which helps in loading large no. of data into one file. You can use different templates to make it user-friendly in appearance.

Key features of Microsoft Excel

1. Feature of find and replace

With help of Microsoft Excel, you can find the specific data from the file and can replace the data you do not want in your file within seconds.

2. Password security

With password security per user for Microsoft Excel files, you save your workbook from unauthorized access.

3. Filtration of data

It is one of the biggest advantages of having Microsoft Excel. With Microsoft Excel, you can easily filter the data at your convenience.

4. Sorting of data

With Microsoft Excel, you can easily sort out the data in ascending and descending order and analyze the growth or reduction in business. 

What are the Methods for Excel Snowflake Integration?

There are mainly two methods by which you can perform Excel Snowflake Integration.

• Method 1: Using Web Interface to Load Excel Data as CSV Files
• Method 2: Using SnowSQL to Load Data from Excel as CSV Files

Excel Snowflake Method 1: Using Web interface to load Excel data as a CSV file

There are mainly 5 steps to load Excel data as a CSV file using the Web interface

• Select the database and click on the table by either selecting row and then loading or by clicking the load button after selecting the table name. After that, the data will load in tables.
• Later, you have to choose your desired warehouse from the list because Snowflake uses the warehouse to store data. Click on the Next button after that.
• Click local files from your computer>select file> select data files>open>next.
• Select existing file format>next for existing file format while for new format file click plus symbol>select file format>finish>name file> next.
• Click the load button>select data and warehouse>click ok

Excel Snowflake Method 2: Using SnowSQL to Load Data from Excel as CSV Files

●      Build a structure of a table on Snowflake as follows

[create table sample_csv(id int, name David(18), dept int); ]

●      Copy the local file to Snowflake using the PUT command as follows

[> put file:///home/Snowflake/Sample_file.csv @~/staged;]

●      Import the CSV file using the following command into the Snowflake

[COPY INTO sample_csv FROM '@~/staged/Sample_file.CSV.gz' FILE_FORMAT = ( TYPE = CSV, COMPRESSION = GZIP);]

What can you achieve by Excel Snowflake Integration?

You can expedite the process of making decisions and quickly implement optimizations without wasting time on data crunching with Excel Snowflake Integration. With just a few clicks, you can easily extract all of the data you need from Instagram. You can gain deeper insights into your data by using data visualization tools, which allow you to visualize data warehouses on an enterprise scale.

Conclusion

Excel Snowflake Integration will offer the best analytical and manipulative features with secure storing of data which helps not only in business management but also business growth but the integration has many limitations and the process is also very hectic.

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