Data Engineering Podcast
DECEMBER 24, 2017
Summary Data oriented applications that need to operate on large, fast-moving sterams of information can be difficult to build and scale due to the need to manage their state. In this episode Sean T. Allen, VP of engineering for Wallaroo Labs, explains how Wallaroo was designed and built to reduce the cognitive overhead of building this style of project.
U-Next
DECEMBER 22, 2017
Two of the most common reasons why people think they can be great HR professionals are either they are very organized and systematic or they have good people skills. But these two qualities alone are not enough for anyone to make it big in their career in human resource management. The two attributes can land them jobs but to move up the ladder, they definitely need some qualities that will set them apart from other employees.
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Zalando Engineering
DECEMBER 13, 2017
How effective management is a continuing story of growth Producers’ Style One of the things I struggled the most with in the past year was identifying the best way to lead my teams. I worked a lot on myself, observed my peers, and tried to learn from my leads, but in the end, I ran into into the well known dilemma: task-focused or people-focused management, which one is best?
Cloudera
DECEMBER 14, 2017
The Apache Hadoop community recently released version 3.0.0 GA , the third major release in Hadoop’s 10-year history at the Apache Software Foundation. We covered earlier releases like 3.0.0-alpha1 and 3.0.0-alpha2 on the Cloudera Engineering blog, and 3.0.0 GA is bigger and better than ever. General availability (GA) marks a point of quality and stability for the release series that indicates it’s ready for broader use.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
ProjectPro
DECEMBER 1, 2017
News on Hadoop - November 2017 IBM leads BigInsights for Hadoop out behind barn. Shots heard.theRegister.co.uk, November 8, 2017. IBM’s BigInsights for Hadoop sunset on December 6, 2017. IBM will not provide any further new instances for the basic plan of its data analytics platform. The existing instances will continue to be available on the Bluemix console as is from December 7, 2017 to November 7, 2018.
Data Engineering Podcast
DECEMBER 17, 2017
Summary Time series databases have long been the cornerstone of a robust metrics system, but the existing options are often difficult to manage in production. In this episode Jeroen van der Heijden explains his motivation for writing a new database, SiriDB, the challenges that he faced in doing so, and how it works under the hood. Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data infrastructure When you’re ready to launch your next project you’ll
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Data Engineering Podcast
DECEMBER 2, 2017
Summary We have tools and platforms for collaborating on software projects and linking them together, wouldn’t it be nice to have the same capabilities for data? The team at data.world are working on building a platform to host and share data sets for public and private use that can be linked together to build a semantic web of information. The CTO, Bryon Jacob, discusses how the company got started, their mission, and how they have built and evolved their technical infrastructure.
U-Next
DECEMBER 22, 2017
One of the major misconceptions revolving around the human resource department is that it’s one of the most chilled out departments in the entire organization. Most people (I know you do too) think that the folks at HR have an easy life and that their primary responsibilities include organizing fun activities, team lunches, secret Santa games and more.
U-Next
DECEMBER 22, 2017
Every plan and forecast needs a basis – a basis on which the plans will be estimated and discussed for efficiency and execution. You have to consider several factors and criteria to explore the possibilities of executing your plan and this requires a lot of data. By implementing data analysis techniques into workforce management and HR job processes, you can now analyze many aspects of your organization including staffing, retrenchment management, job satisfaction levels of employees and more.
U-Next
DECEMBER 22, 2017
This is the age of cutthroat competition. This is a time where resting is unthinkable. The moment you feel complacent is the time your competitors go up the corporate ladder and ultimately towards success. People are working harder than ever and are constantly on the lookout for newer ways to better themselves. They are in search of newer courses and technologies related to their fields to master and want to become better at what they do.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Cloudera
DECEMBER 28, 2017
Regulatory compliance, like death and taxes, is something that is mandatory and the cost of doing business in the financial services industry. In fact, the only thing that’s guaranteed is that the rate of regulatory change will only continue to increase over time. How banks deal with regulatory compliance is actually changing for the better. With big data platforms, like ones based on open source software, banks can more effectively adapt to and quickly manage the wave of rules coming at them.
Cloudera
DECEMBER 15, 2017
Manufacturing as an industry has always been at the forefront of squeezing value from data. Instrumentation, highly connected systems, and automation have been part and parcel of manufacturing organisations for decades. Constrained by the state of technology more than cost, process optimisation was always achieved by making clever use of the data available and has given rise to completely new disciplines and applications.
Cloudera
DECEMBER 20, 2017
Here’s a puzzle for you: 3, 1, 2, 0, 1, -1, ? 240, 48, 12, 4, 2, ? 2, 5, 11, 17, 23, 31, ? Find the pattern? . You may end up scratching your head a bit, but many of you will figure it out, without even pulling out a calculator. We humans are pretty good at pattern detection. And, we often use some form of pattern detection in our daily lives to help us solve problems or predict our next-best course of action.
Cloudera
DECEMBER 12, 2017
From left to right: Nirupama Kamat, Anne Smith, Aimee Schneider, Wendi Durnin, Britt Sellin, Saketa Chandra Chalamchala, Josh Blackburn, Mike Olson, Kathy Erickson, Hilary Mason, Lauren Tipton. Not pictured: Kathyrn Hirsch. Mike Olson, Amr Awadallah, and the rest of Cloudera’s early leaders laid the foundation for a culture of respect, openness, and inclusion from day one.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
Cloudera
DECEMBER 1, 2017
If you’re going to Strata Data Singapore 2017 at the Suntec Singapore Convention & Exhibition Centre , here are four sessions to attend that cover various combinations of my favorite themes: big data, safe data, and cloud data. Hear our ideas, bring your questions, and enjoy the show. Pro-tip: I know these speakers would be very happy to meet with you in smaller groups too.
U-Next
DECEMBER 22, 2017
When Chandler said he was into data reconfiguration and stuff, he passed it off as dull and boring. But the fact is that data has always been crucial to mankind in business operations since then and even before. Today, data has become a key ingredient to the successful operations of many companies, businesses, and startups. As more organizations wake up to the inevitability of data, this is the time businesses also pressurize one of the core departments of any business – the HR – to implement da
Zalando Engineering
DECEMBER 20, 2017
Highlights and Takeaways from Europe's Largest Angular Conference Just a week after Angular Version 5 was released , I had the pleasure to attend AngularConnect 2017. AngularConnect is Europe's largest Angular conference. It is a multi-track conference so I could not attend all the sessions, but the talks I saw were amazing and offered great content.
Zalando Engineering
DECEMBER 18, 2017
Backing up Apache Kafka and Zookeeper to S3 What is Apache Kafka? Apache Kafka is a distributed streaming platform used for building real-time data pipelines and streaming applications. It is horizontally scalable, fault-tolerant, and wicked fast. It runs in production in many companies. Backups are important with any kind of data. Apache Kafka lowers this risk of data loss with replication across brokers.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
Zalando Engineering
DECEMBER 6, 2017
In conversation with Full Stack Engineer, Maksim Ekimovskii Yesterday, Finland celebrated the 100th anniversary of its independence. To join our Helsinki hub’s celebrations, we spoke to the 100th employee, Maksim Ekimovskii. A full stack engineer and passionate videographer , Maksim tells us about his journey with Zalando so far. Chillin' out Maksim, relaxin' all cool. ** Tell us a little about yourself.
Zalando Engineering
DECEMBER 4, 2017
A closer look at the ingredients needed for ultimate stability This is part of a series of posts on Kafka. See Ranking Websites in Real-time with Apache Kafka’s Streams API for the first post in the series. Remora is a small application to track the monitoring of Kafka. Due to many teams deploying this to their production environments, open sourcing this application made sense.
Cloudera
DECEMBER 22, 2017
Data-driven marketing is the new black. As marketers uncover the magnitude of value they can derive from the data at their disposal, they will be faced with a new set of data management-related challenges that can either make or break their quest. IDC predicts that 163 zettabytes of data will be generated by 2025, uncovering a new world of consumer insights and business possibilities.
Cloudera
DECEMBER 18, 2017
“Becoming data-driven is a multi-year journey, not a simple implementation.” It’s one of the first things we tell our customers. Acquiring and using data in a way that simply wasn’t possible up until very recently, requires a huge cultural shift. It’s far more than just technology. Last year our CTO and co-founder, Amr Awadallah suggested in The Malaysian Digest that we may be in the early stages of a multi-decade revolution.
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Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.
Cloudera
DECEMBER 7, 2017
Cloud promises many advantages as an environment for machine learning and analytics. Cloud makes it fast and easy to spin up resources for new applications. Cloud offers elasticity of those resources to efficiently support transient analytics workloads and data pipelines. Cloud offers self-service without waiting for IT infrastructure and operations teams.
Cloudera
DECEMBER 11, 2017
. First they came for the Socialists, and I did not speak out—. Because I was not a Socialist. Then they came for the Trade Unionists, and I did not speak out—. Because I was not a Trade Unionist. Then they came for the Jews, and I did not speak out—. Because I was not a Jew. Then they came for me—and there was no one left to speak for me. Most of you will likely be familiar with some version of this poem.
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