Insight

AUGUST 12, 2019

For system administrators, operations engineers, and others with strong systems and software backgrounds, there’s perhaps no better time than the present to transition into DevOps. Interviews can range from standard software engineer coding questions to questions on system design, Linux debugging, and DevOps tools.

Software 65

Software Data-driven Testing Interactive 65

AWS Big Data

SEPTEMBER 6, 2023

Apache Kafka, a top-tier open-source tool, is making waves in this domain. Amazon’s serverless Apache Kafka offering, Amazon Managed Streaming for Apache Kafka (Amazon MSK) Serverless , is attracting a lot of interest. Currently, MSK Serverless only directly supports IAM for authentication using Java.

Testing 98

Testing Metadata Cost-Benefit Management 98

O'Reilly on Data

FEBRUARY 11, 2020

Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Almost half (48%) of respondents say they use data analysis, machine learning, or AI tools to address data quality issues. Analysts and engineers predominate.

Data Quality 304

Data Quality Metadata Data Governance Publishing 304

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. Strata attracts the leading names in the fields of data management, data engineering, analytics, ML, and artificial intelligence (AI). Data engineering is an intense focus of interest and innovation, with data-in-motion—e.g.,

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Domino Data Lab

AUGUST 8, 2019

Both of those communities are making big strides in their respective tooling, although there is a need for more collaboration. aiming at tools for solving problems best characterized as skills gaps and company culture disconnects. Introduction. Welcome back to our monthly burst of themespotting and conference summaries. What’s a Foo?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

datapine

SEPTEMBER 4, 2023

Table of Contents 1) The Benefits Of Data Visualization 2) Our Top 27 Best Data Visualizations 3) Interactive Data Visualization: What’s In It For Me? Our Top 27 Best Data Visualizations Now that we’ve outlined the clear-cut benefits, let’s explore our 27 best data visualization examples from experts worldwide.

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

O'Reilly on Data

MAY 21, 2019

Our goal was twofold: (1) find out what tools and platforms people are using, and (2) determine whether or not companies are building the foundational tools needed to sustain their ML initiatives. Many respondents signaled that they were using open source tools (Apache Spark, Kafka, TensorFlow, PyTorch, etc.)

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

O'Reilly on Data

JANUARY 25, 2021

For example, we combined “SRE” with “site reliability engineering,” and “object oriented” with “object-oriented.”. We frequently say that 10% growth in a topic is “healthy,” and we’ll stand by that, but remember that O’Reilly online learning itself showed 24% growth. In our industry, cloud computing might be a good example.

Machine Learning 363

Machine Learning Software Testing Technology 363