BlakYaks’ Post

We are proud to announce our newest team member, Ozgur Erol, as Senior Business Analyst. Welcome to the team! #Goaltech #DataAndAICompany #welcomepost #SeniorBusinessAnalyst #MachineLearning #ML #DataScience #datateam #data #AI #cloud #bigdata #AWS #Databricks #tech #it #DataAnalytics #ArtificialIntelligence

How is JetBlue servicing over 1,000 flights per day over 100 network destinations? By ensuring their operational and business data is accurate, on-time, and reliable. After migrating from an on-prem database to Snowflake, JetBlue needed a way to increase data trust and monitor data at scale for their 3,400+ analyst-facing tables. So, JetBlue turned to data observability with Monte Carlo. “[Monte Carlo] spends a few days learning the patterns and cadence, and then right off the bat we get volume, freshness, [and schema] alerts across all the tables in Snowflake without us lifting a finger,” said Brian Pederson, Manager of Data Products at JetBlue. “Before we onboarded Monte Carlo, the data operations team’s primary focus was to just monitor pipeline runs that failed. But now, they’ve got this extra level of insight where they’re able to say ‘something is wrong with this table’ rather than just ‘something is wrong with this pipeline.’ In some cases, we see that the pipeline works fine and everything is healthy, but the data in the table itself is incorrect. Monte Carlo helps us see these issues, which we didn’t previously have a way to easily visualize,” said Ashley Van Name, Senior Manager of Data Engineering at JetBlue. As Brian Pederson says, “Data trust is a human emotion, which isn’t always entirely rational. But if you can give the analysts access to [Monte Carlo] where they can see the health of all the data objects they are using, you can sell them [on the data’s quality].” And just over a year after implementing Monte Carlo, JetBlue’s data NPS score has already increased a whopping 16 points year over year. That’s data trust, coming in for an on-time arrival. 🛫 Read the full story: https://lnkd.in/ez4NqsWm

Exciting news! SingleStore has been recognized as one of the coolest database system companies of 2024 by CRN. Check out the full list to see how we're shaping the future of data! #SingleStore #BigData100

Exciting news! SingleStore has been recognized as one of the coolest database system companies of 2024 by CRN. Check out the full list to see how we're shaping the future of data! #SingleStore #BigData100

Exciting news! SingleStore has been recognized as one of the coolest database system companies of 2024 by CRN. Check out the full list to see how we're shaping the future of data! #SingleStore #BigData100

Exciting news! SingleStore has been recognized as one of the coolest database system companies of 2024 by CRN. Check out the full list to see how we're shaping the future of data! #SingleStore #BigData100

Always nice to get the judge's comments: "Their advanced analytics solutions empower businesses to gain valuable insights from their unstructured data, facilitating data-driven decision-making and cost savings. Komprise's commitment to data analysis and mobility has earned them recognition as a leader in business analytics and data management solutions."

Nine Months of Accumulating skills in Data Analytics, the journey has just started.

Exciting news! SingleStore has been recognized as one of the coolest database system companies of 2024 by CRN. Check out the full list to see how we're shaping the future of data! #SingleStore #BigData100

I love reading about customer wins like this one from JetBlue. Check out the case study below to find out how data observability helped their data team increase JetBlue's data NPS score 16 points Y-o-Y and drive data trust at scale across 3,400+ analyst tables. No time to read? Here are a couple quotes that stuck out: “Before we onboarded Monte Carlo, the data operations team’s primary focus was to just monitor pipeline runs that failed. But now, they’ve got this extra level of insight where they’re able to say ‘something is wrong with this table’ rather than just ‘something is wrong with this pipeline.’ In some cases, we see that the pipeline works fine and everything is healthy, but the data in the table itself is incorrect. Monte Carlo helps us see these issues, which we didn’t previously have a way to easily visualize.” Ashley Van Name, Senior Manager of Data Engineering at JetBlue. “Data trust is a human emotion, which isn’t always entirely rational. But if you can give the analysts access to Monte Carlo where they can see the health of all the data objects they are using, you can sell them [on the data’s quality].” Brian Pederson, Manager of Data Products at JetBlue Read the full story: https://lnkd.in/dnAh8Y5K #dataobservability #montecarlo #data #jetblue