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Detect and handle data skew on AWS Glue

AWS Big Data

As a result, a developer may observe that their AWS Glue jobs are completing without apparent errors, yet the system could be operating far from its optimal efficiency. Another thing that you can use is the summary metrics for each stage. You can detect data skew with data analysis or by using the Spark UI. groupBy("partitionId").count().orderBy(asc("count")).withColumnRenamed("count","partition_size")

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The Role of Data Analytics in Football Performance

Smart Data Collective

Today, teams utilize sophisticated tracking systems, video analysis tools, and wearable devices to gather a wide range of performance metrics. In addition to performance metrics, data collection also includes injury and fitness data. However, the advent of advanced technologies and analytics has ushered in a new era of data collection.

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5G use cases that are transforming the world

IBM Big Data Hub

From driverless cars to smarter cities, farms, and even shopping experiences, the latest standard in wireless networks is poised to transform the way we interact with information, devices and each other. This makes 5G’s Block Error Rate (BER)—a metric of error frequency—much lower. What is 5G?

IoT 109
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Hackers Steal Credit Cards Using Google Analytics: How to Protect Your Business From Cyber Threats

Smart Data Collective

Hackers have turned to exploiting website optimization platform Google Analytics to steal credit cards, passwords, IP addresses and a whole host of compromising information that can be shared by hacked sites. The platform is primarily designed to help businesses and site owners to understand how visitors are interacting with their pages.

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Next generation tools for data science

The Unofficial Google Data Science Blog

For framing purposes, Spark’s sweet spot is quickly developing exploratory/interactive analysis and iterative algorithms , e.g., gradient descent and MCMC, whereas Dataflow’s sweet spot is processing streaming data and highly-optimized, robust, fixed pipelines. Spark provides the user with greater flexibility.

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Data Analytics Helps Marketers Make the Most of Instagram Stories

Smart Data Collective

Most savvy marketers recognize the importance of using analytics technology to optimize their strategies to get a higher ROI. One example of this trend is by using analytics to measure the engagement of Instagram stories to get customers to interact more frequently. Katie points out that Instagram stories disappear after 24 hours.