by Ramana Kumar Gunti
Data Sharing in Snowflake
In this article, we will talk about Snowflake data sharing which enables account-to-account sharing of data through Snowflake database tables, secure views, and secure UDFs. So let's get started.
Snowflake data sharing is a powerful yet simple feature to share the data from one account and to use the shared data from another account. The data producer can provide access to his live data within minutes without copying or moving the data to any number of data consumers. The data consumer can query the shared data from data producer without any performance bottle necks thanks to snowflakes multi-cluster shared data architecture.
Oracle Data Integrator (ODI),
Data Sharing in Snowflake,
Ramana Kumar Gunti
by Abdul Mathin Shaik
Oracle Data Integrator with Snowflake
In this article, we will talk about how to load the data into the Snowflake data warehouse using Oracle Data Integrator ODI. So let's get started.
Lately, one of our Snowflake customers was looking to use Oracle Data Integrator to load data into Snowflake from oracle DW. I have been working with Oracle applications such as ODI for years now, so I wanted to explore how to configure ODI to work with Snowflake.
Oracle Data Integrator (ODI),
ODI with Snowflake,
Abdul Mathin Shaik
by Manju Das
Manual performance optimization in Denodo – Most relevant and most used techniques
We are going to discuss how to optimize the Denodo query to make the most of the optimization in the Denodo platform. Below are the most powerful query optimization techniques that we can apply in Denodo platform manually which will increase the performance significantly.
Most relevant and most used techniques,
Manual performance optimization in Denodo
by Pushkar Reddipalli
BigQuery Best Practices to Optimize Cost and Performance
BigQuery is Google's fully managed, petabyte scale, low cost analytics data warehouse. It allows you to execute terabyte-scale queries, get results in seconds, and gives you the benefits of being a fully managed solution. BigQuery and other Google Cloud Platform (GCP) services offer "pay per use" pricing. If you know how to write SQL Queries, you already know how to query it. In fact, there are plenty of interesting public data sets shared in BigQuery, ready to be queried by you.
In this blog post, I will guide you through best practices to implement Google BigQuery to control costs and optimize performance regardless of the level of development experience you have. To start working with BigQuery, you must first upload your data, which means that you will also use it as storage, then verify this data in some way to create your models or create reports. In the next section, we will analyze best practices for these main actions of loading, querying and storing.
BigQuery to optimize cost and performance,
BigQuery Best Practices
Solving Data Lake Challenges with Databricks Delta Lake
What is Data Lake:
Data lake drive is what is available instead of what is required. The typical data lake is a storage repository that can store a large amount of structured, semi-structured, and unstructured data. It is a place to store every type of data in its native format with no fixed limits on account size or file. It offers high data quantity to increase analytical performance and native integration to implement Machine Learning and AI models to make profitable predictions. This enables the 360 degrees view of customers and makes the analysis more robust to offer a competitive advantage to the organization.
What is Databricks Delta Lake,
Data lake challenges,
Databricks Delta Lake,
Data Lake Challenges with Databricks Delta Lake
by Balachandra Sridhara
Snowflake Secure Views vs. Views in Oracle
What is a view in a Database?
A view is the result set of a SQL query built on top of one or more tables. Views do not store the data; however, during run time view definition (SQL) will be executed, and the result will be shown to the user. Please find the Wikipedia link for more information View (SQL).
Snowflake secure views vs views in Oracle,
Snowflake secure views
Salesforce and Tableau: Integrating Tableau Dashboards within Salesforce.com framework
This article talks about the technical aspects that should be considered to integrate/embed Tableau Dashboards into the Salesforce portal.
Integrating Tableau with Salesforce
Azure Analysis Services with Power BI - Best Practices
Power BI Overview
Power BI is a business analytics solution that lets you visualize your data and share insights across your organization or embed them in your app or website. Connect to a wide variety of data sources and bring your data to life with live dashboards and reports.
Power BI Blog Series,
Azure Analysis Services
by Gaurav Gupta
How does Synapse Analytics improve over Azure SQL DW Gen 2 and Gen 1
If you are not familiar with Synapse Analytics (formerly Microsoft Azure SQL Data Warehouse), it is known as a massively parallel processing system (MPP). MPP systems have been around for a long time, but traditionally they have been very expensive and large hardware investments. Some providers in this space include Teradata, Netezza, and Microsoft, with their analysis platform system offer. In this model, the data in the tables is distributed between the nodes and the results are joined in the main or control node. It is a model that is fully optimized for large-scale data loading, as well as for reports.
Azure SQL Data Warehouse Gen2,
Gen2 Over Gen1,
Azure SQL DW,
Analytics Platform System,
Microsoft Azure partner,
Azure Synapse Analytics
Azure Power BI Automation - DataSets
This is the fifth post in KPI's Power BI blog series. In this blog, we provide a high-level overview of dataset refresh and other dataset operations from PowerShell. You can read the other posts in the series here:
- Dynamic Selection of Measures in Power BI
- Security and Collaboration in Power BI
- What is PowerShell and Connect to Power BI Service
Power BI Blog Series,
Azure Power BI Automation,