DataLakeHouse Blog
Ceridian Dayforce and Snowflake: A Match Made in Cloud Computing Heaven
In the world of cloud computing, there are few pairings as successful and powerful as those that involve bringing data into Snowflake. Ceridian Dayforce is
How to Streamline HR Processes with Ceridian Dayforce and Snowflake
Human Resources (HR) is a critical function for any organization, and managing HR processes efficiently can be extremely difficult, especially when data exists within various
Exploring the Benefits of Ceridian Dayforce and Snowflake Integration
In today’s data-driven world, businesses rely heavily on data to make informed decisions, streamline operations, and drive growth. This is especially true when it comes
Why You Should Integrate Ceridian Dayforce with Snowflake for Improved Data Management
In today’s fast-paced business world, data management has become a critical component for companies to thrive. Organizations must be able to collect, store, and analyze
Ceridian Dayforce to Snowflake
We could honestly go on forever about the benefits of integrating your Ceridian Dayforce data into Snowflake (I mean really, we even hosted a webinar
Bringing Ceridian Dayforce Data into Snowflake Webinar
If you need a solution for getting your Ceridian Dayforce data into Snowflake, DataLakeHouse.io has you covered. In addition to enabling you to bring your
BigQuery Coalesce
In order to get the return of the first non-NULL value in the expression one can use the COALESCE function in BigQuery. The input expressions
12 Restaurant Dashboard Templates & Examples
With so many different income streams, today’s restaurants have several different kinds of financial data to manage. Providing catering services, managing table reservations, or even
How to Visualize Time Series Data (With Examples)
Think about some of the most common data visualizations you see in newspapers: While most of these mean different things, they’re all the same at
With so many different income streams, today’s restaurants have several different kinds of financial data to manage. Providing catering services, managing table reservations, or even running a food truck in addition to their dine-in business, makes it difficult to get a handle on all the different aspects of their operations.
Finance and accounting departments have lots of different data to manage—vendors, employees, customers, transactions, and investments, to name a few. This data often exists in different formats and silos, making it difficult and time-consuming to get a holistic view of the organization’s financial picture. And at the enterprise scale, this problem is magnified.
Think about some of the most common data visualizations you see in newspapers:
- Graphs showing a country’s GDP growth
- Stock market trends
- Charts that capture business performance year-to-date
- Rates of inflation
While most of these mean different things, they’re all the same at their core—they are all based on time series data.
In today’s consumer market, retail stores benefit from making data-driven decisions. Gone are the days of relying on intuition for marketing, understanding consumer behavior, determining inventory decisions, and more. Instead, we’ve seen a rise in an area known as retail analytics. The goal of this post is to provide an overview of retail analytics, common use cases, and how this can be used to improve a company’s ROI. Read more here.
It’s common to find applications of machine learning in a variety of business areas, such as marketing, operations, automation, security, financial management, and more. The goal of this article is to review 12 companies that are using machine learning to make a difference in their industry.
Organizations are turning to the cloud to handle increased data volume, velocity, and variety. Cloud data warehouses (CDWs) like Snowflake provide the flexibility and scalability necessary to support a modern data strategy.
And to bring all of their disparate information to a single source of truth, organizations rely primarily on two approaches: extract, transform, load (ETL) and extract, load, transform (ELT).
But before we dive into ETL vs. ELT in Snowflake, let’s clearly define each process.
In this article, we will introduce the concept of people analytics and how HR and data professionals can leverage their knowledge and skills to make data-driven decisions.
The following list presents three easy ways to get e started with HR analytics: Read the article here.
In this article, we’ll give you a quick overview of categorical data, how to visualize it using the most popular methods, and the best tools your business can use to visualize this data. Read the full article here.
