Data Engineering Podcast

FEBRUARY 25, 2018

Summary One of the sources of data that often gets overlooked is the systems that we use to run our businesses. This data is not used to directly provide value to customers or understand the functioning of the business, but it is still a critical component of a successful system. Sam Stokes is an engineer at Honeycomb where he helps to build a platform that is able to capture all of the events and context that occur in our production environments and use them to answer all of your questions abou

Kafka 100

Kafka AWS Data Data Pipeline 100

ProjectPro

MARCH 1, 2018

News on Hadoop - February 2018 Kyvos Insights to Host Webinar on Accelerating Business Intelligence with Native Hadoop BI Platforms. PRNewswire.com, February 1, 2018. The leading big data analytics company Kyvo Insights is hosting a webinar titled “Accelerate Business Intelligence with Native Hadoop BI platforms.” on February 7, 2018 at 10 AM PST.

Hadoop 52

Hadoop NoSQL Retail BI 52

Cloudera

MARCH 2, 2018

If you do an internet search for ‘data-driven disruption’ you can find articles about almost every industry being disrupted by digitalisation and new applications of data. Banking, transportation, healthcare, retail, and real estate, all have seen the emergence of new business models fundamentally changing how customers use their services. While there are instances of data-driven efforts in the nonprofit sector, they are not as widespread as they can be.

Hospitality 43

Hospitality Healthcare Machine Learning Transportation 43

Zalando Engineering

FEBRUARY 28, 2018

Apache’s lightning fast engine for data analysis and machine learning In recent years, there has been a massive shift in the industry towards data-oriented decision making backed by enormously large data sets. This means that we can serve our customers with more relevant, personalized content. We in the Digital Experience team are tasked with analysing Big Data in order to gather insights and support the product team with the decision making process.

Data Analysis 40

Data Analysis Hadoop Datasets SQL 40

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence