Data Engineering Podcast
FEBRUARY 11, 2019
Summary Machine learning is a class of technologies that promise to revolutionize business. Unfortunately, it can be difficult to identify and execute on ways that it can be used in large companies. Kevin Dewalt founded Prolego to help Fortune 500 companies build, launch, and maintain their first machine learning projects so that they can remain competitive in our landscape of constant change.
Confluent
FEBRUARY 13, 2019
Part 1 of this series discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares and contrasts scaling, persistence and runtime models. Once settled on the event streaming approach, I’ll provide a high-level dataflow of how we design systems for payment processing at scale using this approach.
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Netflix Tech
FEBRUARY 11, 2019
George Abraham , Devika Chawla , Chris Beaumont , and Daniel Huang. Thoughtful, relevant, and timely messaging is an integral part of a customer’s Netflix experience. The Netflix Messaging Engineering team builds the platform and the messages to communicate with Netflix customers. Messages in the Netflix App In-app messages at Netflix fall broadly into two channels?
Cloudera
FEBRUARY 14, 2019
Today we are proud to announce our support for ADLS Gen2 as it enters general availability on Microsoft Azure. CDH 6.1 already includes support for MapReduce and Spark jobs, Hive and Impala queries, and Oozie workflows on ADLS Gen2. The Cloudera platform delivers a one-stop shop that allows you to store any kind of data, process and analyze it in many different ways in a single environment, and integrate with the rest of your data infrastructure.
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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?
Rockset
FEBRUARY 13, 2019
I first met with the Rockset team when they were just four people in a small office in San Francisco. I was taken aback by their experience and friendliness, but most importantly, their willingness to spend a lot of time mentoring me. I knew very little about Rockset's technologies and didn’t know what to expect from such an agile early-stage startup, but decided to join the team for a summer internship anyway.
Confluent
FEBRUARY 12, 2019
One of the most common integrations that people want to do with Apache Kafka ® is getting data in from a database. That is because relational databases are a rich source of events. The existing data in a database, and any changes to that data, can be streamed into a Kafka topic. From there these events can be used to drive applications, be streamed to other data stores such as search replicas or caches and streamed to storage for analytics.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Cloudera
FEBRUARY 11, 2019
Ask a CIO where their focus lies and ‘digital transformation’ as well as ‘growth’ will come into the conversation quite quickly. The former sees growing investment in data analytics to become data-driven (45% of organizations expect to increase their spending in this area) while the latter is fueled by disruptive technology and the adoption of AI (41% of organizations name it as their game changer).
Teradata
FEBRUARY 11, 2019
In her blog, Carrie Ballinger discusses parallelism and how you can fashion it to specific needs by using the new sparse map capability
Pandora Engineering
FEBRUARY 11, 2019
Code creates interfaces. But code itself is also an interface.
Cloudera
FEBRUARY 13, 2019
When Cloudera was formed about 10 years ago, the founders believed that companies would jump at the chance to store, manage, and analyze their data in the cloud. Thus, they came up with the name Cloudera, which was a play on “era of cloud.” But, much to their surprise, companies weren’t ready for cloud; they were more focused with on-prem. So, Cloudera focused on helping companies with storing, managing, and analyzing data on-prem.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
Cloudera
FEBRUARY 11, 2019
The Magic Quadrant (MQ) is an established, widely-referenced series of research reports published by the analyst firm Gartner, Inc. The January 2019 “Magic Quadrant for Data Management Solutions for Analytics” provides valuable insights into the status, direction, and players in the DMSA market. A total of 19 vendors satisfied Gartner’s extensive inclusion criteria for insertion in this year’s MQ DMSA report.
Cloudera
FEBRUARY 12, 2019
3.2 billion. That is the number of unique mobile subscribers that Asia Pacific is projected to have by 2025, which accounts for more than half of the world’s mobile subscribers. Mobile data traffic is predicted to grow at a 40 to 50 percent rate annually, and Internet of Things (IoT) connections from 25 to 30 percent. As technology adoption increases, more service providers require 5G to support the surge of incoming data.
Teradata
FEBRUARY 13, 2019
Tom Casey explains lessons from the Apollo 13 program and how they can be applied to day to day dealings in the analytics world.
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