Confluent
JULY 14, 2021
Data is the lifeblood of so much of what we build as software professionals, so it’s unsurprising that operations involving its transfer occupy the vast majority of developer time across […].
Cloudera
JULY 13, 2021
After the launch of CDP Data Engineering (CDE) on AWS a few months ago, we are thrilled to announce that CDE, the only cloud-native service purpose built for enterprise data engineers, is now available on Microsoft Azure. . CDP Data Engineering offers an all-inclusive toolset that enables data pipeline orchestration, automation, advanced monitoring, visual profiling, and a comprehensive management toolset for streamlining ETL processes and making complex data actionable across your analytic team
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Data Engineering Podcast
JULY 16, 2021
Summary There is a wealth of tools and systems available for processing data, but the user experience of integrating them and building workflows is still lacking. This is particularly important in large and complex organizations where domain knowledge and context is paramount and there may not be access to engineers for codifying that expertise. Raj Bains founded Prophecy to address this need by creating a UI first platform for building and executing data engineering workflows that orchestrates
Uber Engineering
JULY 14, 2021
High Level Overview of the Problem. Introduction. If you’ve used any online/digital service, chances are that you are familiar with what a typical customer service experience entails: you send a message (usually email aliased) to the company’s support staff, fill … The post Customer Support Automation Platform at Uber appeared first on Uber Engineering Blog.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Confluent
JULY 13, 2021
In Data Science projects, we distinguish between descriptive analytics and statistical models running in production. Overall, these can be seen as one process. You start with analyzing historical data to […].
Cloudera
JULY 16, 2021
Did you know Cloudera customers, such as SMG and Geisinger , offloaded their legacy DW environment to Cloudera Data Warehouse (CDW) to take advantage of CDW’s modern architecture and best-in-class performance? In addition to substantial cost savings upon moving to CDW, Geisinger is also able to search through hundreds of million patient note records in seconds providing better treatment to their patients.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Teradata
JULY 11, 2021
Learn how Teradata is using Advanced Analytics to guide its safe Return-To-Office (RTO) policy for its global employees. Read more.
Netflix Tech
JULY 15, 2021
Data Engineers of Netflix?—?Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin Wylie is a Data Engineer on the Content Data Science and Engineering team. In this post, Kevin talks about his extensive experience in content analytics at Netflix since joining more than 10 years ago.
Cloudera
JULY 12, 2021
The 2021 Data Impact Award (DIA) submissions are starting to stream in, and we know many of you are contemplating your entries – which we are excited to see. To help guide your award strategy, we thought it would be an excellent opportunity to ask our judges — a panel comprised of leading analysts and journalists well-versed in the application of data and the wider benefits it can bring across industries – what it takes for a winning project.
Rockset
JULY 15, 2021
Rockset was founded to make it easy for developers and data teams to go from real-time data to actionable insights. We designed Rockset to remove many of the barriers teams face while building with real-time data including data preparation, performance tuning and infrastructure management. We also built ground up to support full SQL (including joins and aggregations), the most common query language for analytics.
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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?
Scribd Technology
JULY 11, 2021
User-uploaded documents have been a core component of Scribd’s business from the very beginning, understanding what is actually in the document corpus unlocks exciting new opportunities for discovery and recommendation. With Scribd anybody can upload and share documents , analogous to YouTube and videos. Over the years, our document corpus has become larger and more diverse which has made understanding it an ever-increasing challenge.
Teradata
JULY 15, 2021
Learn how complexities baked into the data analytics ecosystems of supply chains can be simplified to eliminate redundancy, increase time to value, and reduce cost.
Cloudera
JULY 11, 2021
In the late 90s, when I was pursuing my studies in engineering, only a few girls enrolled in any STEM-related courses. While it was our love for math & science and the prospect of future opportunities that brought us here, we sadly found many of them gave up halfway through the course, and those who graduated either quit or never entered the profession. .
ProjectPro
JULY 16, 2021
To become a successful data scientist in the industry, understanding the end-to-end workflow of the data science pipeline (understanding data, data pre-processing, model building, model evaluation, and model deployment) is essential. Assuming you do not want to overwhelm yourself with fancy machine learning algorithms, mastering the concepts of logistic regression should be your primary step to get familiar with the end-to-end data science pipeline.
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.
Monte Carlo
JULY 16, 2021
In Monte Carlo’s Weekly ETL (Explanations Through Lior) series, Lior Gavish, Monte Carlo’s co-founder and CTO, answers a trending question on Reddit about some of data engineering’s hottest topics. Reddit thread can be found here. Reddit user /SWE-Aaron asks if data engineering will ever get the same attention as data science and whether that would actually be a good thing.
Teradata
JULY 13, 2021
Find out how to harness machine learning and AI to contain costs, increase revenue, and grow your organization’s customer base. Read more.
Cloudera
JULY 15, 2021
Introduction and Rationale. The release of Cloudera Data Platform (CDP) Private Cloud Base edition provides customers with a next generation hybrid cloud architecture. This blog post provides an overview of best practice for the design and deployment of clusters incorporating hardware and operating system configuration, along with guidance for networking and security as well as integration with existing enterprise infrastructure.
ProjectPro
JULY 14, 2021
Linear Regression is probably one of the most well-known machine learning algorithms. It essentially involves modeling the relation between the given or derived parameters and the target to be learned. Therefore, any machine Learning job interview would be incomplete without a peppering of Linear Regression questions. These linear regression interview questions and answers will help you prepare for your machine learning interview.
Speaker: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
Monte Carlo
JULY 13, 2021
Incident IQ gives data engineers and analysts a centralized, all-in-one solution for conducting incident management and root cause analysis on your data pipelines. Video courtesy of Monte Carlo. Today, we are excited to announce the release of Monte Carlo’s data incident management feature, Incident IQ, a new solution that allows data teams to collaboratively identify, alert on, and remediate the root cause of critical data issues before they impact downstream systems and end users.
DataKitchen
JULY 16, 2021
The post How to build a successful cloud data architecture first appeared on DataKitchen.
Cloudera
JULY 15, 2021
We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. . In this session we explored what firms are doing to approach the uncertainty with more predictability.
ProjectPro
JULY 15, 2021
People searching for cloud computing jobs per million grew by approximately 50%. According to an Indeed Jobs report, the share of cloud computing jobs has increased by 42% per million from 2018 to 2021. The global cloud computing market is poised to grow $287.03 billion during 2021-2025. Also, global spending on public cloud services will double by 2023.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
Monte Carlo
JULY 13, 2021
Monte Carlo , the data reliability company, today released data incident management feature, Incident IQ, a new suite of capabilities that help data engineers better pinpoint, address, and resolve data downtime at scale through the Monte Carlo Data Observability Platform. Incident IQ automatically generates rich insights about critical data issues through root cause analysis, giving teams unprecedented visibility into the end-to-end health and trust of their data beyond the scope of traditional
Preset
JULY 13, 2021
We're excited to announce the release of Apache Superset 1.2! In this release post, we will focus on the biggest and most interesting tangible, end-user features.
Cloudera
JULY 14, 2021
Last week we held our third Women In Data Webinar, and what a session it was! We were honored to welcome Justyna Lebedyk, Senior Product Owner Big Data, Commerzbank AG, who posed the question “Does diversity win?” . I had the pleasure of chatting with Justyna about the key themes from her talk and what advice she would give to others looking to pursue a career in data. .
ProjectPro
JULY 12, 2021
The demand for data-related roles has increased massively in the past few years. Companies are actively seeking talent in these areas, and there is a huge market for individuals who can manipulate data, work with large databases and build machine learning algorithms. While data science is the most hyped-up career path in the data industry, it certainly isn't the only one.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
DataKitchen
JULY 15, 2021
The post Keys to DataOps Transformation first appeared on DataKitchen.
RudderStack
JULY 15, 2021
Marketing teams get a bad rap from engineering, oftentimes for understandable reasons.
Cloudera
JULY 12, 2021
Can an organization eradicate workplace politics completely? Defined by the Harvard Business Review as “a variety of activities associated with the use of influence tactics to improve personal or organizational interests”, politics at the workplace is inevitable. Undeniably, wielding influence to achieve positive outcomes is encouraged. However the question leaders should be asking is, are fragmented individual agendas taking precedence over an organization’s mission?
ProjectPro
JULY 10, 2021
Time series analysis and forecasting is a dark horse in the domain of Data Science. Time series is among the most applied Data Science techniques in various industrial and business operations, such as financial analysis , production planning, supply chain management, and many more. Machine learning for time series is often a neglected topic. More recent techniques, such as natural language processing, pattern recognition, and others usually gain better attention.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
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