Cloudera

JANUARY 20, 2021

In this last installment, we’ll discuss a demo application that uses PySpark.ML to make a classification model based off of training data stored in both Cloudera’s Operational Database (powered by Apache HBase) and Apache HDFS. In this demo, half of this training data is stored in HDFS and the other half is stored in an HBase table.

Machine Learning 115

Machine Learning Artificial Inteligence Applications Data 115

Cloudera

JUNE 10, 2021

We are going to use an Operational Database COD instance and Apache Spark present in the Cloudera Data Engineering experience. . Ensure that you have a Cloudera Data Engineering experience instance already provisioned, and a virtual cluster is already created. Cloudera Data Engineering. Prerequisites .

How To 92

How To Data Engineering Virtualization Resources 92

Cloudera

NOVEMBER 17, 2021

You know the one, the mathematician / statistician / computer scientist / data engineer / industry expert. Some companies are starting to segregate the responsibilities of the unicorn data scientist into multiple roles (data engineer, ML engineer, ML architect, visualization developer, etc.),

Machine Learning 124

Machine Learning Artificial Inteligence Hotels Data Engineering 124

Cloudera

OCTOBER 13, 2020

Enrich – Data Engineering (Apache Spark and Apache Hive). Report – Data Engineering (Hive3), Data Mart (Apache Impala) and Real-Time Data Mart (Apache Impala with Apache Kudu) . Serve – Operational Database (Apache HBASE), Data Exploration (Apache Solr) . New Services.

Cloud 97

Cloud Machine Learning Artificial Inteligence Data Engineering 97

Confluent

FEBRUARY 6, 2019

This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. Impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Erik Bernhardsson

DECEMBER 6, 2022

We've been focusing a lot on machine learning recently, in particular model inference — Stable Diffusion is obviously the coolest thing right now, but we also support a wide range of other things: Using OpenAI's Whisper model for transcription , Dreambooth , object detection (with a webcam demo!). I will be posting a lot more about it!

CTO Coach 242

CTO Coach Fractional CTO Software Engineering Serverless 242

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. Data Catalog profilers have been run on existing databases in the Data Lake.

Data 97

Data Virtualization Banking Data Engineering 97

Dzone - DevOps

JULY 12, 2023

But is there more to generative AI than a fancy demo on Twitter? And how will it impact data? Maybe you’ve noticed the world has dumped the internet, mobile, social, cloud, and even crypto in favor of an obsession with generative AI.

Generative AI 40

Generative AI Data Engineering Engineering Data 40

Kentik

APRIL 25, 2016

Here at Kentik, we’ve applied many of the same concepts to Kentik Data Engine™ (KDE), a datastore optimized for querying IP flow records (NetFlow v5/9, sFlow, IPFIX) and related network data (GeoIP, BGP, SNMP). In this series, we’ll take a tour of KDE and also quantify some of its performance and scale characteristics.

Data Engineering 40

Data Engineering Engineering Data Sport 40

Cloudera

APRIL 9, 2021

You may recall from the previous blogs in this series that ECC is leveraging the Cloudera Data Platform (CDP) to cover all the stages of its data life cycle. Data Collection – streaming data. Data Enrichment – data engineering. Reporting – data warehousing & dashboarding.

Machine Learning 98

Machine Learning Artificial Inteligence Data Data Engineering 98

CIO

JUNE 28, 2023

To address the second challenge, Belcorp hired new talent to bridge the knowledge gap among different teams and established a technology hub to recruit first-rate data scientists and data engineers to aid with the project’s design and implementation.

Technical Review 157

Technical Review Analytics Innovation Architecture 157

DataRobot

SEPTEMBER 14, 2021

Data scientists and data engineers want full control over every aspect of their machine learning solutions and want coding interfaces so that they can use their favorite libraries and languages. At the same time, business and data analysts want to access intuitive, point-and-click tools that use automated best practices.

Cloud 94

Cloud Artificial Inteligence Machine Learning Data Engineering 94

Hacker Earth Developers Blog

NOVEMBER 27, 2023

This includes high-demand roles like Full stack- Django/React, Full stack- Django/Angular, Full stack- Django/Spring/ React, Full stack- Django/Spring/Angular, Data engineer, and DevOps engineer. We have 20 pre-defined roles available now, and we intend to add more to the stack. And that’s all.

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Recruiting ChatGPT Windows Testing 130

DataRobot

JUNE 1, 2022

Join the platform breakout session track to see an end-to-end product demo, dive deep into Continuous AI, learn how to create scalable AI projects, and understand how to manage governance and risk. In a robust virtual expo, visit with experts in data engineering, machine learning, ML Ops, and AI-powered apps.

Virtualization 119

Virtualization Artificial Inteligence Machine Learning Healthcare 119

Hu's Place - HitachiVantara

MAY 10, 2019

A Big Data Analytics pipeline– from ingestion of data to embedding analytics consists of three steps Data Engineering : The first step is flexible data on-boarding that accelerates time to value. This will require another product for data governance. This is colloquially called data wrangling.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

The Daily WTF

AUGUST 27, 2019

Matt works at an accounting firm, as a data engineer. I want Jackie’s front-page changes to be in the demo I’m about to do. He makes reports for people who don’t read said reports. Accounting firms specialize in different areas of accountancy, and Matt’s firm is a general firm with mid-size clients. Why is that so difficult?”

Internet 16

Internet Report Advertising Cloud 16

d2iq

MARCH 31, 2022

While Kubernetes and Kubeflow would seem to be an ideal way to address some of the obstacles, the steep learning curve can introduce complexities for data scientists and data engineers who might not have the bandwidth or design to learn how to manage it.

Artificial Inteligence 69

Artificial Inteligence Machine Learning How To Artificial Intelligence 69

Xebia

JANUARY 9, 2024

It is also a good starting point for debugging data quality issues, because it offers an easy way to copy the actual compiled SQL that was executed for a given test. packages: - package: elementary-data/elementary version: 0.13.1 In case you do not have a packages.yml file yet, you can create one in the root of your dbt project.

Testing 130

Testing Data Open Source Applications 130

Xebia

DECEMBER 26, 2024

Databricks Asset Bundles: How We’ll work on a demo use case to show the power of bundles. You must build a data ingestion app. In our demo it will contain the.whl files related to our Python wheel package being deployed. Alternatively, you could deploy manually, but that was error-prone and hard to maintain long-term.

Resources 130

Resources Testing Infrastructure Applications 130

Xebia

DECEMBER 26, 2024

Databricks Asset Bundles: How We’ll work on a demo use case to show the power of bundles. You must build a data ingestion app. In our demo it will contain the.whl files related to our Python wheel package being deployed. Alternatively, you could deploy manually, but that was error-prone and hard to maintain long-term.

Resources 130

Resources Testing Infrastructure Applications 130

Kentik

FEBRUARY 27, 2023

The need for speed The Kentik Data Explorer is Kentik’s interface between you as an engineer, whether that’s network, systems, cloud, security, or SRE, and the database of information you’ve collected with the Kentik platform. But the real key here is that the Kentik Data Explorer was purpose-built for querying a massive database.

Network 98

Network Data WAN Metrics 98

Apiumhub

JUNE 22, 2021

Data Innovation Summit topics. Same as last year, the event offers six workshops (crash-course) themes, each dedicated to a unique domain area: Data-driven Strategy, Analytics & Visualisation, Machine Learning, IoT Analytics & Data Management, Data Management and Data Engineering.

Innovation 84

Innovation Data Technical Review Artificial Inteligence 84

O'Reilly Media - Ideas

MARCH 31, 2020

An AI pilot project, even one that sounds simple, probably won’t be something you can demo quickly. A demo, or even a first release, can be based on heuristics or simple models (linear regression, or even averages). Having something you can demo takes some of the pressure off your machine learning team.

Product Management 145

Product Management Artificial Inteligence Machine Learning Weak Development Team 145

Palo Alto Networks

AUGUST 23, 2021

Cortex XDR’s Third-Party Data Engine Now Delivers the Ability to Ingest, Normalize, Correlate, Query and Analyze Data from Virtually Any Source. An overview and demo of Cortex XDR 3.0 — See the new capabilities first-hand and discover how our third-generation XDR innovations equip defenders to level the playing field.

Cloud 98

Cloud Machine Learning Artificial Inteligence Analytics 98

Cloudera

OCTOBER 18, 2022

This enabled us to ingest data faster, more reliably, and in deeper detail, while saving on licenses. The solution was prototyped in Cloudera Data Science Workbench (CDSW) , and is built using Python and PySpark, which is scheduled using Cloudera Data Engineering.

Cloud 89

Cloud Analytics AWS Engineering 89

Kentik

APRIL 12, 2023

DataOps team roles In a DataOps team, several key roles work together to ensure the data pipeline is efficient, reliable, and scalable. These roles include data specialists, data engineers, and principal data engineers. They work closely with data engineers to ensure the pipeline is robust and scalable.

Network 52

Network Data Engineering Artificial Inteligence Machine Learning 52

Cloudera

JULY 14, 2023

While these instructions are carried out for Cloudera Data Platform (CDP), Cloudera Data Engineering, and Cloudera Data Warehouse, one can extrapolate them easily to other services and other use cases as well. Watch our webinar Supercharge Your Analytics with Open Data Lakehouse Powered by Apache Iceberg.

Backup 70

Backup Data Engineering Engineering Data 70

Xebia

JULY 28, 2023

I’ll keep the sizes as small as possible, since it is only for demo purposes. It provides a collaborative environment for teams to work together, accelerating the development and deployment of data-driven solutions. First, click on SQL Warehouses on the left bar, then Create SQL warehouse button. This will open a new window.

Cloud 130

Cloud Azure How To Windows 130

Cloudera

JANUARY 20, 2021

Value in “getting it right” include using data from any enterprise source thus breaking down data silos, using all data whether it be streaming or batch-oriented, and the ability to send that data to the right place producing the desired down stream insight. . More Data Collection Resources.

Data 110

Data Artificial Inteligence Analytics Machine Learning 110

Cloudera

MARCH 17, 2023

CDP’s components that support a data lakehouse architecture include: Apache Iceberg table format that is integrated into CDP to provide structure to the massive amounts of structured, unstructured data in your data lake. The post Educating ChatGPT on Data Lakehouse appeared first on Cloudera Blog.

ChatGPT 64

ChatGPT Education Data Comparison 64

Cloudera

NOVEMBER 28, 2017

However, different departments or user groups may have access to different subsets of data, making it difficult to join and analyze data between them and limiting collaboration between different teams (such as for workflows requiring data engineers, data scientists, and SQL users).

Analytics 40

Analytics Cloud Data Data Engineering 40

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Cloudera

FEBRUARY 17, 2021

An information-packed set of sessions that explained everything from the fundamentals of Flink to the most advanced concepts and some hands-on demos. We also wrote a white paper comparing the different stream processing engines in the market today and this was much appreciated by our customers.

Part-Time VPE 60

Part-Time VPE Analytics Leadership eBook 60

Cloudera

DECEMBER 20, 2023

Founding AI ecosystem partners | NVIDIA, AWS, Pinecone NVIDIA | Specialized Hardware Highlights: Currently, NVIDIA GPUs are already available in Cloudera Data Platform (CDP), allowing Cloudera customers to get eight times the performance on data engineering workloads at less than 50 percent incremental cost relative to modern CPU-only alternatives.

Artificial Inteligence 71

Artificial Inteligence Artificial Intelligence Enterprise Machine Learning 71

DataRobot

OCTOBER 3, 2017

Enterprise data architects, data engineers, and business leaders from around the globe gathered in New York last week for the 3-day Strata Data Conference , which featured new technologies, innovations, and many collaborative ideas.

Trends 52

Trends Azure Conference Media 52

Kentik

JULY 19, 2017

Service providers of all stripes can benefit from big data-powered network insights in similar ways as KDDI, both in planning as well as operational realms. If you’d like to learn more, check out our products , read our Kentik Data Engine (KDE) white paper, and dig into why NFV needs advanced analytics.

Network 40

Network .Net Data Center Big Data 40

Cloudera

AUGUST 31, 2021

It outperforms other data warehouses on all sizes and types of data, including structured and unstructured, while scaling cost-effectively past petabytes. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. To learn more about CDP & the Smart Data Transition Toolkit: .

Data 82

Data Analytics Cloud Technical Review 82