Reflecting on Summit At the Snowflake Summit, a strong commitment to AI was emphasized. Both Snowflake and NVIDIA have made strides in building their AI capabilities. The rise of AI, particularly generative AI, has been a prominent topic at cloud tech conferences over the past year. As a former Snowflake employee and current customer, I’m […]
Analytics
Leveraging Data Cloud for Medical Devices
From patient records to medical device telemetry, the volume and diversity of data generated for medical device companies can be staggering. However, harnessing this data to its full potential remains a significant challenge for many. Healthcare organizations, including medical device companies, grapple with dispersed data across various departments and technologies. This fragmentation impedes timely and […]
Three Principles for Writing Effective Analytics Documentation
Documentation is a crucial part of your analytics implementation. From your Solution Design Reference document to your internal wiki for all resources, making sure that you can write and edit your documentation is key to ensuring a cohesive and thorough understanding of your implementation. With effective documentation, you can: Prevent knowledge gaps among team members […]
Azure SQL Server Performance Check Automation
On Operational projects that involves heavy data processing on a daily basis, there’s a need to monitor the DB performance. Over a period of time, the workload grows causing potential issues. While there are best practices to handle the processing by adopting DBA strategies (indexing, partitioning, collecting STATS, reorganizing tables/indexes, purging data, allocating bandwidth separately […]
Microsoft Fabric: NASDAQ stock data ingestion into Lakehouse via Notebook
Background Microsoft Fabric is emerging as one-stop solution to aspects revolving around the data. Before the introduction of Fabric, Power BI faced few limitations related to data ingestion, since Power Query offers limited ETL & data transformation functionality. Power Query M Language scripting lacks ease of development, compared to popular languages like Java / C# […]
Showing Grit When Performing Manual QA
Many times, in my career when performing QA, I’ve dealt with many times where I’ve felt uncertain about my efforts. Through my work at Perficient—and with the help of my team—I’ve learned over time how to persist and show grit in testing to be able to ensure the highest quality of work delivered throughout a […]
The Event-Driven Data Layer: Unifying Analytics and Development Teams
One common way of implementing tags through Adobe Launch is using a data layer, which is a JSON object (key/value pair) that is loaded onto the page from which attributes are passed through as the user navigates through the website or completes certain objectives. This can be extended further into using an Event-Driven Data Layer […]
Maintaining Your Adobe Launch Implementation
Adobe Launch is a valuable tool to help you manage the tags placed across your website, including Facebook, Pinterest, and Bing pixels as well as Adobe Analytics and Target depending on your property. Many of these tags are either deployed via custom code or via one of the many extensions within Launch’s extension to help […]
Spark DataFrame: Writing to Tables and Creating Views
In this Blog Post we will see methods of writing Spark DataFrame into tables and creating views, for essential tasks for data processing and analysis. Before diving into this blog have a look at my other blog posts discussing about creating the DataFrame and manipulating the DataFrame. Creating DataFrame: https://blogs.perficient.com/2024/01/10/spark-scala-approaches-toward-creating-dataframe/ Manipulating DataFrame: https://blogs.perficient.com/2024/02/15/spark-dataframe-basic-methods/ Dataset: The […]
Data Virtualization with Oracle Enterprise Semantic Models
A common symptom of organizations operating at suboptimal performance is when there is a prevalent challenge of dealing with data fragmentation. The fact that enterprise data is siloed within disparate business and operational systems is not the crux to resolve, since there will always be multiple systems. In fact, businesses must adapt to an ever-growing […]
Best Practices for Oracle Fusion HCM Analytics
Oracle Fusion HCM Analytics, a part of Oracle Fusion Data Intelligence Platform (DIP) (earlier known as Fusion Analytics Warehouse), equips various management levels with deep insights to effectively manage the workforce across the organization. DIP is to the most part a ready-to-use data and analytics solution that is typically implemented in a matter of weeks. […]
Operationalize AI Across Your Organization with Perficient’s PACE Framework
In today’s rapidly evolving digital landscape, the promise of Generative Artificial Intelligence (GenAI) looms large, offering enticing opportunities for innovation, efficiency, and growth. However, alongside its transformative potential, AI brings with it a host of complexities and challenges that can give even the most seasoned executives pause. A majority of organizations are not fully embracing […]