Simon Späti

JUNE 14, 2022

Data consumers, such as data analysts, and business users, care mostly about the production of data assets. On the other hand, data engineers have historically focused on modeling the dependencies between tasks (instead of data assets) with an orchestrator tool. How can we reconcile both worlds? This article reviews open-source data orchestration tools (Airflow, Prefect, Dagster) and discusses how data orchestration tools introduce data assets as first-class objects.

Data Pipeline 130

Data Pipeline Data Data Engineering Data Engineer 130

Data Engineering Podcast

JUNE 12, 2022

Summary Unstructured data takes many forms in an organization. From a data engineering perspective that often means things like JSON files, audio or video recordings, images, etc. Another category of unstructured data that every business deals with is PDFs, Word documents, workstation backups, and countless other types of information. Aparavi was created to tame the sprawl of information across machines, datacenters, and clouds so that you can reduce the amount of duplicate data and save time an

Unstructured Data 130

Unstructured Data MongoDB Scala MySQL 130

Azure Data Engineering

JUNE 12, 2022

Self-hosted integration runtime in the context of Azure data factory is a gateway that connects the on-prem data sources to datastores in the cloud. To know more about Integration runtimes, please refer to the previous post. We have discussed how to check whether Integration Runtime is online or offline using PowerShell command in a previous post. In today’s post, lets have a look at how to monitor self-hosted integration runtime metrics such as CPU utilization, Available memory, number of concu

Utilities 130

Utilities Cloud Data Process 130

KDnuggets

JUNE 17, 2022

In this tutorial, we are going to list some of the most common algorithms that are used in supervised learning along with a practical tutorial on such algorithms.

Algorithm 157

Algorithm Machine Learning 157

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

Teradata

JUNE 14, 2022

With the Teradata QueryGrid Google BigQuery Connector, we’re enabling our customers to natively join data between Vantage and BigQuery in real-time, at scale.

Data 98

Data 98

Data Engineering Podcast

JUNE 12, 2022

Summary Building a well rounded and effective data team is an iterative process, and the first hire can set the stage for future success or failure. Trupti Natu has been the first data hire multiple times and gone through the process of building teams across the different stages of growth. In this episode she shares her thoughts and insights on how to be intentional about establishing your own data team.

Metadata 100

Metadata Unstructured Data Business Intelligence MongoDB 100

KDnuggets

JUNE 15, 2022

An introduction to the generative adversarial network model DoppelGANger, and how you can use a new open-source PyTorch implementation of it to create high-quality synthetic time-series data.

Data 149

Data IT Data Science 149

Cloudera

JUNE 15, 2022

Cloudera’s June Volunteer Spotlight is Michael Billau, customer operations engineer from Raleigh, North Carolina! Michael volunteers with the Food Bank of Central and Eastern North Carolina. The Food Bank of Central and Eastern North Carolina provides food daily to the over 200,000 people facing food insecurity and hunger in the Raleigh area, while simultaneously building solutions to end hunger permanently in communities across North Carolina. .

Food 81

Food Banking Engineering Systems 81

Netflix Tech

JUNE 15, 2022

By Alex Hutter , Falguni Jhaveri , and Senthil Sayeebaba In a previous post , we described the indexing architecture of Studio Search and how we scaled the architecture by building a config-driven self-service platform that allowed teams in Content Engineering to spin up search indices easily. This post will discuss how Studio Search supports querying the data available in these indices.

Engineering 73

Engineering Accessible Accessibility Architecture 73

Confluent

JUNE 15, 2022

The committee will ensure Current has the best speakers from top companies in every industry, and cover all streaming data technologies.

Programming 98

Programming Technology Data 98

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Engineering

KDnuggets

JUNE 13, 2022

Gain a beginner's perspective on artificial neural networks and deep learning with this set of 14 straight-to-the-point related key concept definitions.

Deep Learning 160

Deep Learning Machine Learning 160

Cloudera

JUNE 13, 2022

We are excited to announce that Cloudera is named as a 2022 Gartner Peer Insights Customers’ Choice for Cloud Database Management Systems (DBMS). Peer Insights is a user review site, the technology professional’s “go-to” destination for information on customer experience. Gartner Peer Insights collects anonymous customer reviews on select product categories.

Hadoop 73

Hadoop Manufacturing Finance Media 73

Eventbrite Engineering

JUNE 13, 2022

As Eventbrite engineering leans into team-owned infrastructure, or DevOps, we’re obviously learning a lot of new technologies in order to stand up our infrastructure, but owning the infrastructure also means it’s up to us to make sure that infrastructure is stable as we continue to release software. Obviously, the answer is that we need to … Continue reading "Monitoring Your System" The post Monitoring Your System appeared first on Engineering Blog.

Systems 52

Systems Engineering Technology IT 52

Confluent

JUNE 14, 2022

Growth marketing and sales isn’t only for growing revenue, but your sales people. Here’s how our Director of Sales ensured success for our SDRs through mentorship and upward mobility.

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70

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

KDnuggets

JUNE 16, 2022

In this article, we outline 15 books on topics ranging from the technical to the non-technical, to help you improve your understanding of end-to-end best practices related to data.

Data 140

Data Data Science 140

Rockset

JUNE 14, 2022

In this 30 minute video overview, CTO and Rockset Co-founder Dhruba Borthakur discusses Rockset's ALT architecture , how data is ingested, stored and queried in Rockset, and why Rockset is simple to use, incredibly fast, and capable of the highly efficient execution of complex distributed queries across diverse data sets. Embedded content: [link] We'll be doing more videos like this in the future, so sign up for notices from our blog and join our community so you don't miss them.

Architecture 52

Architecture Lambda Architecture Hadoop Database 52

Propel Data

JUNE 14, 2022

Today, we are thrilled to announce Propel Data – an API Platform for developers to easily build in-product analytics with large-scale data.

Data Analytics 40

Data Analytics Data Building 40

Confluent

JUNE 17, 2022

IDC shares takeaways from Kafka Summit London, how data streaming maximizes real-time data connections, revenue growth, and the ability to win in a digital-first world.

Kafka 57

Kafka Data 57

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KDnuggets

JUNE 16, 2022

Although dashboards have become quite an integral part of performance tracking in organizations, implementing them can be tricky even for the most experienced analysts. This guide walks you through the steps that will allow you to create easily updatable, automated and scalable Power BI / Tableau dashboards.

BI 114

BI Data Data Science 114

AltexSoft

JUNE 16, 2022

Choosing the machine learning path when developing your software is half the success. Yes, it’s an advanced way of doing things. Yes, it brings automation, so widely discussed machine intelligence, and other awesome perks. But just because you put it there doesn’t guarantee your project will do well and pay off. So, how would you measure the success of a machine learning model?

Machine Learning 91

Machine Learning Hospitality Retail Medical 91

Cloudera

JUNE 17, 2022

In the second blog of the Universal Data Distribution blog series , we explored how Cloudera DataFlow for the Public Cloud (CDF-PC) can help you implement use cases like data lakehouse and data warehouse ingest, cybersecurity, and log optimization, as well as IoT and streaming data collection. A key requirement for these use cases is the ability to not only actively pull data from source systems but to receive data that is being pushed from various sources to the central distribution service. .

Data Pipeline 93

Data Pipeline Building Kafka Java 93

ProjectPro

JUNE 16, 2022

An AWS data pipeline helps businesses move and unify their data to support several data-driven initiatives. Generally, it consists of three key elements: a source, processing step(s), and destination to streamline movement across digital platforms. It enables flow from a data lake to an analytics database or an application to a data warehouse. Amazon Web Services (AWS) offers an AWS Data Pipeline solution that helps businesses automate the transformation and movement of data.

Data Pipeline 59

Data Pipeline AWS Amazon Web Services Data Consolidation 59

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

Building

KDnuggets

JUNE 13, 2022

Learn essential Git commands for versioning and collaborating on data science projects.

Data Science 158

Data Science Data Project Programming 158

Monte Carlo

JUNE 14, 2022

Conferences typically follow a bell curve. A few people trickle in on day one, a bit more at the welcome event. Then you peak at the keynote. After Day One, these events slowly lose steam until only the most fanatical conference warriors are roaming exhibitor booths late Thursday morning. Snowflake Summit 2022 has been different – and I mean this in the best way possible.

Cloud 52

Cloud Data Ingestion Government Python 52

Cloudera

JUNE 16, 2022

Every large enterprise organization is attempting to accelerate their digital transformation strategies to engage with their customers in a more personalized, relevant, and dynamic way. The ability to perform analytics on data as it is created and collected (a.k.a. real-time data streams) and generate immediate insights for faster decision making provides a competitive edge for organizations. .

Kafka 87

Kafka Manufacturing Data Lake SQL 87

know.bi

JUNE 15, 2022

Why would you upgrade your Pentaho projects to Apache Hop? Before going into the details of how you should upgrade to Apache Hop , let's have a look at a couple of reasons why upgrading to Apache Hop is a good idea. We'll look at why it helps you to work with a platform that is actively innovating, is truly open source, and has an active community. Work with an innovative platform Since Apache Hop started as an Incubating project at the Apache Software Foundation back in 2020 and graduated in la

Metadata 52

Metadata Data Integration Cloud Storage Project 52

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Certification

KDnuggets

JUNE 15, 2022

Here are some data science related podcasts to help you either grow your interest in the field, increase your current knowledge, or help you develop yourself.

Data Science 114

Data Science Data 114

Monte Carlo

JUNE 17, 2022

As more companies invest in more data tools, initiatives, and teams, the appetite to become a “data-driven organization” continues to grow. But if stakeholders, consumers, and leaders across the company don’t trust that the data flowing through your pipelines and populating your products is useful and reliable, all that investment is for naught. So how can a team build a culture of data trust—especially within a complex environment?

Building 52

Building Portfolio Data Recruitment 52

KDnuggets

JUNE 15, 2022

14 Essential Git Commands for Data Scientists; A Structured Approach To Building a Machine Learning Model; How is Data Mining Different from Machine Learning?; Understanding Functions for Data Science; Top 18 Data Science Facebook Groups.

Machine Learning 98

Machine Learning Data Mining Building Data Science 98

KDnuggets

JUNE 14, 2022

The guide to writing production-ready Python code for machine learning projects.

Machine Learning 145

Machine Learning Python Coding Project 145

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