Suggestions
James Dinkel
President and CEO at Oalva, Inc.
Professional Background
James Dinkel is a distinguished former Fortune-100 Big Data Executive and a current leader in the big data landscape. With over 20 years of extensive experience in the information technology sector, James has demonstrated a remarkable aptitude for problem-solving and innovation. He has cultivated a reputation as a visionary in the field, known for both his technical expertise and strategic insights.
As the President and CEO of Oalva, Inc., James has spearheaded numerous initiatives that streamline operations and enhance operational efficiencies for businesses looking to maximize their data’s potential. His leadership style fosters collaboration and innovation among top-level technicians, guiding teams through the intricacies of big data technologies. With specialties in Hive, Kafka, Spark, and many other data technologies, he delivers solutions that empower organizations to leverage their data effectively.
Notably, James played a pivotal role in transforming the IT landscape at Sprint, where he served in various high-impact roles including Director of Network Data Analytics, IT Manager, and IT Production Support Supervisor. His tenure at Sprint was marked by innovation, notably leading the development of sprint.com and initiating mobile application development programs that brought about significant improvements in digital engagement and customer experience. Through such initiatives, he showcased his ability to navigate complex challenges and drive large-scale projects from conception to execution.
Education and Achievements
James began his academic journey at Kansas State University, where he studied Electrical and Computer Engineering. This foundational knowledge equipped him with the technical skills necessary to thrive in a rapidly evolving industry. Later, he furthered his education at TMP, expanding his understanding of data systems and their applications in business.
Throughout his 20-year career, James has established himself as a Subject Matter Expert (SME) in data analytics technologies. His keen understanding of Hive and Hive LLAP, Kafka, Spark, and other crucial big data technologies positions him as a leader at the forefront of technological advancements. His initiatives often focus on alleviating common issues faced by organizations that suffer from fragmented data warehouses. By advocating for data consolidation, James helps companies reduce operational costs while uncovering new insights and capabilities that were previously inaccessible.
His commitment to empowering businesses has driven him to work collaboratively with various organizations, helping them navigate their data challenges and enhance their analytical capabilities. James's extensive experience and expertise allow him to not only identify problems but also deliver actionable, data-driven solutions that lead to substantial organizational improvements.
In addition to his role at Oalva, Inc., James has made significant contributions during his previous positions at Sprint, where he honed his abilities in IT management and data analytics. His roles at Sprint involved overseeing complex network data systems, managing teams, and ensuring the efficient operation of IT production support processes. James’s early career at Ferrellgas as a Field Systems Support Supervisor provided him with a solid grounding in system administration, allowing him to understand the fundamental needs of IT from the ground up.
Achievements
James Dinkel’s illustrious career is defined by numerous achievements that reflect his dedication to the IT and big data landscapes. His role in launching the mobile application development program at Sprint stands out as a significant contribution to improving customer experience and engagement through innovative technology solutions. By leading the charge in digital transformation projects, James has helped organizations adapt to the evolving technological landscape, ensuring they remain competitive in a data-driven world.
Furthermore, his leadership at Oalva, Inc. has enabled numerous companies to streamline their data architecture, thereby achieving cost savings and enhanced operational capabilities. This collaborative approach not only serves the immediate needs of businesses but also positions them for long-term success as they embrace a more analytical approach to decision-making.
James's outreach efforts to assist other organizations looking to solve their data problems demonstrate his commitment to fostering collaboration and knowledge-sharing within the IT community. He is always open to discussions about data analytics and related IT challenges, extending his expertise to those seeking guidance in the field.
James Dinkel remains passionate about helping companies navigate the complexities of the big data landscape, continually focusing on delivering solutions that drive value and facilitate business growth. His remarkable ability to identify and solve intricate data i
Highlights
Don’t forget to measure impact to your org when choosing Snowflake vs. Spark based SaaS platform – the impact is bigger than your total spend with either.
In my previous job, I ran a rather large Data and Analytics organization (Director, Sprint Network Data and Analytics, 250 people, $90M/year budget). Excluding the packet layer data tools (probes to get the data from the network), I wasn’t much different in that I had a 30/70 split in spend between hardware/software and labor.
In the majority of organizations: · HSC – hardware, software, cloud accounts for 20-30% of the organizations budget · IL/VL – internal labor / vendor labor accounts for 70-80% of the organizations budget
At the time, my comparisons weren’t between Snowflake and Spark based SaaS platforms, but the 30/70 split between HSC and IL/VL spend were as true then as they are now.
Yet, when people compare Snowflake vs. Spark based SaaS, they tend to only look at price-performance and fail to recognize the impact to their organization. The decision on the software vendor will provide a savings on impact to your org that is larger than your total spend to either one of the software vendors.
As it relates to performance, out of the box, Snowflake beats Spark based SaaS’s. Snowflake is self-optimized. With a bit of tuning, you can get the Spark based SaaS pretty close to Snowflake. Stay tuned, we will devote a case study to price performance in late 1Q24, but our experience and the benchmarks others have done show a roughly 30% price performance improvement in Snowflake over Spark based SaaS’s platforms.
Functional While price performance is better with Snowflake, from an impact perspective this functional stuff is the stuff that really matters. Here at Squadron Data, we spent our first 7 years as a hadoop SI (Cloudera PS top Partner in North America) and the last year as a Snowflake Select SI Partner. We continually heard - “but Snowflake is so much easier”.
But how is it so much easier? Where is it so much easier? We took a look at a typical 40 person data/analytics org and the different personas and functions resources performed.
The associated table shows the mid-sized Data Analytics organization (40 people) comparative impact analysis results across the nine functional areas. Please note: There will be variance in your organizational savings by moving to Snowflake instead of a Spark based SaaS. Not all companies will have the same savings, but all companies will have savings – and it will be significant. Your savings on impact to your org is larger than your spend to either one of them.
The total difference in the mid-sized organization is 33 heads vs. 43 heads. We do not recommend removing the 10 heads – good people are hard to find. We recommend placing those folks into the higher value work (delivering answers to the business).
To obtain the full 26 page report: https://lnkd.in/g_Xv76df
