Why Data Ops Doesn’t Work and What Needs to Change
This is a guest post by Dave Wells, Practice Director Data Management at Eckerson Group….
By Dave Wells
Guide
Browse Nexla’s collection of in-depth guides — conceptual explainers, frameworks, and definitional content on data integration, AI agents, MCP, and modern data infrastructure.
Fighting COVID-19 with Data
Humanity’s fight against Coronavirus depends on the speed and precision with which we can take…
What is Stream Processing?
What is Stream Processing? Stream processing is the processing of event data in real-time or…
The DataOps Trend is Real: 73% of Companies Plan to Invest in DataOps to Manage Data Teams
In order to grow successfully, companies need to leverage DataOps to better manage data teams….
New whitepaper: Understanding Avro, Parquet, and ORC
An Introduction to Big Data Formats Innovative, data-centric companies are increasingly relying on big data…
Three Predictions for DataOps in 2018
It has been a whirlwind of a year for DataOps! Companies like MapR, StreamSets and…
The 3 Biggest Cloud Challenges: Athena, Redshift, and Multi-Cloud
We’re looking forward to this year’s AWS re:Invent from November 27 to December 1 in…
DataOps Report Breakdown: Data Collaboration & Machine Learning
Welcome to the final segment of our 2017 Definitive Data Operations Report Mini Series! Teamwork…
DataOps Report Breakdown: DataOps Activities
Welcome back to the 2017 Definitive Data Operations Report MiniSeries! This week, we’re covering key…
DataOps Report Breakdown: Decision Making
Welcome back to the 2017 Definitive Data Operations Report MiniSeries! This week, we will be…
DataOps Report Breakdown: DataOps Outlook
The chart above examines which functional areas within an organization plan to hire in DataOps. Unsurprisingly, 79% of those respondents in IT said they will hire in DataOps. The majority of Data Science, Engineering, and Analytics respondents also have plans to hire, which should come as no surprise.
What is surprising however, is that 53% of those who work in other functions also have plans to hire in DataOps. This “Other” category includes Product Management, Marketing, and even areas like Finance. This suggests business owners in almost all functional areas have the need to integrate, process, and derive value from data.
The Definitive Data Operations Report 2017
At Nexla, we are constantly thinking about the challenges of data operations for cross-company data. We’ve spoken with hundreds of companies about the unique effort required to send and receive data across company lines. But few benchmarks exist in the market for companies looking to learn from best practices. We decided to investigate.
This first-of-its-kind survey asked over 300 respondents about how they derive value from data. We surveyed data professionals from 40 different industries, with tenures ranging from two years to more than ten. In this post, we summarize some of the key benchmarks that emerged from the study. You can read the full report here, and a brief summary in this post.
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