Start Data Engineering

SEPTEMBER 26, 2020

Table of Contents Table of Contents Introduction Project description and requirements Infrastructure overview Apache Flink Apache Kafka Design Detect fraudulent accounts Log account actions Prerequisites Code Defining dependencies Inheritance Server logs generator Defining data flow in Apache Flink Create a streaming environment Creating a consumer to read events from Apache Kafka Detecting fraud and generating alert events Writing server logs to a PostgreSQL DB Fraud detection logic Open proces

Data Engineering 130

Data Engineering Data Engineer Project Engineering 130

Team Data Science

SEPTEMBER 2, 2020

"Where can I start if I want to become a Data Engineer?" This is a question I have heard many times before. My answer to it is actually always the same: Start doing a Data Engineering project! Choose a tool Your first step here should be to select a tool. Then start with that tool and then build the whole thing up. So you get some data and then start with a tool.

Data Engineering 130

Data Engineering Data Engineer Google Cloud Engineering 130

Confluent

SEPTEMBER 29, 2020

ksqlDB, the event streaming database, is becoming one of the most popular ways to work with Apache Kafka®. Every day, we answer many questions about the project, but here’s a […].

Process 145

Process Kafka Database Project 145

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Cloudera has found that customers have spent many years investing in their big data assets and want to continue to build on that investment by moving towards a more modern architecture that helps leverage the multiple form factors.

Cloud 130

Cloud Kafka Professional Services Metadata 130

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Management

Data Engineering Podcast

SEPTEMBER 28, 2020

Summary Kafka has become a de facto standard interface for building decoupled systems and working with streaming data. Despite its widespread popularity, there are numerous accounts of the difficulty that operators face in keeping it reliable and performant, or trying to scale an installation. To make the benefits of the Kafka ecosystem more accessible and reduce the operational burden, Alexander Gallego and his team at Vectorized created the Red Panda engine.

Kafka 100

Kafka BI Big Data Data Engineering 100

Teradata

SEPTEMBER 8, 2020

The fragility of your supply chain existed long before COVID-19 brought it into sharp relief. Discover the secret to true supply chain resilience.

IT 105

IT 105

Team Data Science

SEPTEMBER 1, 2020

"Since I started exploring Data Engineering, it has been overwhelming. In the end I have the feeling of giving up." This is a message that reached me from a viewer on YouTube. And that's exactly how I feel sometimes! Sometimes I feel a bit overwhelmed by the whole thing. Because there is so much going on. All the technology and Data Science hype. There is always something new on the horizon.

Data Science 130

Data Science Hadoop Kafka Big Data 130

Confluent

SEPTEMBER 24, 2020

Operating critical Apache Kafka® event streaming applications in production requires sound automation and engineering practices. Streaming applications are often at the center of your transaction processing and data systems, requiring […].

Kafka 143

Kafka Engineering Systems Process 143

Cloudera

SEPTEMBER 29, 2020

Performance is one of the key, if not the most important deciding criterion, in choosing a Cloud Data Warehouse service. In today’s fast changing world, enterprises have to make data driven decisions quickly and for that they rely heavily on their data warehouse service. . In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to Microsoft HDInsight (also powered by Apache Hive-LLAP) on Azure using the TPC-DS 2.9 benchmark.

Data Warehouse 115

Data Warehouse Cloud Storage Metadata Cloud 115

Data Engineering Podcast

SEPTEMBER 21, 2020

Summary Data engineering is a constantly growing and evolving discipline. There are always new tools, systems, and design patterns to learn, which leads to a great deal of confusion for newcomers. Daniel Molnar has dedicated his time to helping data professionals get back to basics through presentations at conferences and meetups, and with his most recent endeavor of building the Pipeline Data Engineering Academy.

Data Engineering 100

Data Engineering Data Engineer Engineering AWS 100

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Data

Teradata

SEPTEMBER 3, 2020

Taking the definition of physical gravity & extending it to data analytics, we explore the opportunities to combine data gravity with analytic processing, at scale with Vantage.

Process 93

Process Data Analytics Data IT 93

Netflix Tech

SEPTEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and what the role entails by Julie Beckley & Chris Pham This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley. Photo from a team curling offsite?

Data Science 89

Data Science Food Consulting Algorithm 89

Team Data Science

SEPTEMBER 1, 2020

In which regions or countries is there a boom in the field of Data Sciences and thus a large number of jobs? This is a very interesting question, which newcomers or graduates often ask themselves. Maybe you have already asked yourself this question? The USA as an advanced country Companies in the USA are obviously very, very advanced with Data Science.

Data Science 130

Data Science Computer Science Manufacturing Education 130

Confluent

SEPTEMBER 16, 2020

Near-real-time insights have become a de facto requirement for Azure use cases involving scalable log analytics, time series analytics, and IoT/telemetry analytics. Azure Data Explorer (also called Kusto) is the […].

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Kafka Data Programming Cloud 139

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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.

Database

Cloudera

SEPTEMBER 3, 2020

I think we can all agree that it would be nice to have some good news in 2020, which is why the Data for Good category in this year’s Cloudera Impact Awards is such a pertinent one. The awards program is an annual corporate competition celebrating game-changing data-implementation projects. The Data for Good category recognizes organizations that have tackled some of the most challenging issues affecting society and the planet, making what was impossible in the past, possible today.

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Consulting Education Data Collection Programming 95

Data Engineering Podcast

SEPTEMBER 14, 2020

Summary In memory computing provides significant performance benefits, but brings along challenges for managing failures and scaling up. Hazelcast is a platform for managing stateful in-memory storage and computation across a distributed cluster of commodity hardware. On top of this foundation, the Hazelcast team has also built a streaming platform for reliable high throughput data transmission.

Process 100

Process Unstructured Data Metadata Data Engineering 100

Teradata

SEPTEMBER 14, 2020

The game had changed for the retail sector long ago – but it has taken the COVID-19 crisis for people to notice. A new appreciation for the role of data in retail has emerged.

Retail 93

Retail IT Data 93

Netflix Tech

SEPTEMBER 4, 2020

HDMI?—?Scaling Netflix Certification Scott Bolter , Matthew Lehman , Akshay Garg ¹ At Netflix, we take the task of preserving the creative vision of our content all the way to a subscriber TV screen very seriously. This significantly increases the scope of our application integration and certification processes for streaming devices like set-top-boxes (STBs) and TVs.

Certification 65

Certification Media Electronics Entertainment 65

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.

Data Science

Rockset

SEPTEMBER 25, 2020

According to over 40,000 developers, MongoDB is the most popular NOSQL database in use right now. The tool’s meteoric rise is likely due to its JSON structure which makes it easy for Javascript developers to use. From a developer perspective, MongoDB is a great solution for supporting modern data applications. Nevertheless, developers sometimes need to pull specific workflows out of MongoDB and integrate them into a secondary system while continuing to track any changes to the underlying MongoDB

MongoDB 52

MongoDB Kafka Database NoSQL 52

Confluent

SEPTEMBER 1, 2020

If you are taking your first steps with Apache Kafka®, looking at a test environment for your client application, or building a Kafka demo, there are two “easy button” paths […].

Kafka 132

Kafka Building Cloud 132

Cloudera

SEPTEMBER 17, 2020

Announcing the finalists of the Data Impact Awards is always a highlight in our annual Cloudera calendar, and this year is no different. The 2020 entrants have shown incredible data-driven innovation, problem-solving ability and have proven real-world impact. . Our independent judges certainly had their jobs cut out for them, as they were faced with an overwhelming number of outstanding entries.

Banking 92

Banking Medical Government Data Security 92

Data Engineering Podcast

SEPTEMBER 7, 2020

Summary Databases are limited in scope to the information that they directly contain. For analytical use cases you often want to combine data across multiple sources and storage locations. This frequently requires cumbersome and time-consuming data integration. To address this problem Martin Traverso and his colleagues at Facebook built the Presto distributed query engine.

Architecture 100

Architecture Data Architecture SQL Engineering 100

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.

Building

Teradata

SEPTEMBER 21, 2020

Get tips on how to cast a more critical eye on the seemingly endless amount of data-driven conclusions presented to us. Learn more.

Data 106

Data 106

Grouparoo

SEPTEMBER 22, 2020

I have been working on the Salesforce integration. That experience will be its own story. In the process, though, I found something tricky that I might be uniquely experiencing given the combinatorics of the modern Node/Javascript/Typescript world. Grouparoo connects with sources, processes the data from them, and sends that data to destinations. When data comes from a source, we call it an import.

Coding 52

Coding Process Engineering IT 52

Data Science Blog: Data Engineering

SEPTEMBER 18, 2020

The Data Science and Engineering Process in PLM. Huge opportunities for digital products are accompanied by huge risks Digitalization is about to profoundly change the way we live and work. The increasing availability of data combined with growing storage capacities and computing power make it possible to create data-based products, services, and customer specific solutions to create insight with value for the business.

Data Science 52

Data Science Consulting Software Engineer Software Engineering 52

Confluent

SEPTEMBER 30, 2020

The ksqlDB team is pleased to announce ksqlDB 0.12.0. This release continues to improve upon the usability of ksqlDB and aims to reduce administration time. Highlights include query upgrades, which […].

Process 98

Process 98

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Data Analysis

Cloudera

SEPTEMBER 10, 2020

Cloudera has been named a Leader in The Forrester Wave : Notebook-Based Predictive Analytics and Machine Learning, Q3 2020. At Cloudera, we are committed to always staying at the forefront of data and analytics innovation — enabling enterprises to more optimally work with data to deliver analytic results across the business quickly and securely. For enterprise machine learning teams, this means having the right platform, tools, and processes that streamline end-to-end ML to tackle once-impossibl

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Machine Learning Government Cloud Data Science 89

Monte Carlo

SEPTEMBER 16, 2020

We’re excited to share that Monte Carlo has raised $16M in funding to pioneer the Data Reliability category. Our Series A was led by Accel , with participation from GGV Capital , and enables us to pursue our mission of accelerating the world’s adoption of data by reducing Data Downtime. Other angel investors include DJ Patil , the former Chief Data Scientist for the U.S. as well as top executives from Cloudera, eBay, Google and VMWare.

Building 52

Building Data Data Pipeline Machine Learning 52

Teradata

SEPTEMBER 7, 2020

The latest release of Teradata Vantage with Native Object Store enables companies to not only drive down costs by leveraging object store technologies, but also improve manageability and drive business insights with the power of Vantage.

Technology 90

Technology Management 90

A Cloud Guru: Data Engineering

SEPTEMBER 14, 2020

You can complete the project requirements by yourself or in collaboration with others. Feel free to ask questions in the discussion forum or on social media using the #CloudGuruChallenge hashtag! The post #CloudGuruChallenge – Event-Driven Python on AWS appeared first on A Cloud Guru.

AWS 52

AWS Python Media Cloud 52

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While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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