Data Lake Configuration for Media Company
Please find under a summary covering project details and feedback. The innate facts are kept as they are, private information is amended.
Introduce your business and what you do there.
I’m the director of enterprise data services for a media organisation.
challenge were you trying to address with ThirdEye Data?
We initially had a SQL server business intelligence (BI) stack but establish that we needed an enterprise data lake. After identifying the gaps in our team’s capabilities, we brought on ThirdEye Data to help us configure the data lake.
What was the aim of their involvement?
We determined to leverage AWS as a data lake. Because we wanted to have a persistent bunch for computing, we began with Apache Spark and mixed technology. The initial implementation included adjusting our data from different silos and databases into one mediate locate.
the team compound?
They had a project director and an constructor on-website as well as 6–8 resources offshore.
How did you come to work with ThirdEye Data?
I’d worked with them while at my antecedent job, and they’re well-known in the big data space.
How much have you invested with them?
We’ve spent almost $100,000–$250,000 thus far.
What is the status of this engagement?
We began working unitedly in April 2017, and the work is ongoing.
What evidence can you share that demonstrates the contact of the engagement?
ThirdEye Data was able to get within our tech environment and set up the data lake fairly fast. The new enterprise data lake eliminates silos by mediateizing our information, which has betterd our data analysts’ productivity and reduced analysis time from months to weeks to sometimes days.
How did ThirdEye Data accomplish from a project treatment standpoint?
I’m very lucky with their interaction. If they meet issues or predict any issues, they fetch them up forward of time. We use a Scrum methodology.
What did you find most forcible almost them?
Not only do they know which technology to leverage, but they also apprehend the strengths and debility of the technology landscape and can handle change.
Are there any areas they could better?
Their niche is Apache Hadoop-based enterprise data lakes, so if they can better their experiences as a organisation in cloud data warehouses, they would be able to create even better solutions.