Blog, Data Engineering and Machine Learning

Next Stop – Predicting on Data with Cloudera Machine Learning

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines.

Machine Learning

Machine Learning Artificial Inteligence Data Data Engineering

Of Muffins and Machine Learning Models

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI.

Machine Learning

Machine Learning Artificial Inteligence Weak Development Team Construction

Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data…

Netflix Tech

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. Right Sizing is in progress and will be covered with more details in a dedicated technical blog post later. Stay tuned.

Machine Learning

Machine Learning Artificial Inteligence Data Systems Review

Make Your Models Matter: What It Takes to Maximize Business Value from Your Machine Learning Initiatives

Cloudera

NOVEMBER 19, 2021

We are excited by the endless possibilities of machine learning (ML). We recognise that experimentation is an important component of any enterprise machine learning practice. Continuous Operations for Production Machine Learning (COPML) helps companies think about the entire life cycle of an ML model.

Machine Learning

Machine Learning Artificial Inteligence eBook Sustainability

How Prompt-Based Development Revolutionizes Machine Learning Workflows

Mentormate

DECEMBER 12, 2023

In a previous blog post, we introduced a five-phase framework to plan out Artificial Intelligence (AI) and Machine Learning (ML) initiatives. The Traditional Machine Learning Workflow Initiating a traditional ML project begins with collecting data. Duplicated records are identified and rectified.

Artificial Inteligence

Artificial Inteligence Machine Learning Technical Review Development

Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning

Machine Learning Artificial Inteligence Scalability Data Engineering

Managing Machine Learning Workloads Using Kubeflow on AWS with D2iQ Kaptain

d2iq

JANUARY 18, 2022

In this post , we’ll discuss how D2iQ Kaptain on Amazon Web Services (AWS) directly addresses the challenges of moving machine learning workloads into production, the steep learning curve for Kubernetes, and the particular difficulties Kubeflow can introduce.

Artificial Inteligence

Artificial Inteligence Machine Learning AWS Weak Development Team

10 most in-demand generative AI skills

CIO

SEPTEMBER 29, 2023

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. They’re also seeking skills around APIs, deep learning, machine learning, natural language processing, dialog management, and text preprocessing.

Generative AI

Generative AI ChatGPT Machine Learning Artificial Inteligence

Building a Machine Learning Application With Cloudera Data Science Workbench And Operational Database, Part 1: The Set-Up & Basics

Cloudera

JANUARY 6, 2021

Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle.

Machine Learning

Machine Learning Artificial Inteligence Data Applications

Enabling NVIDIA GPUs to accelerate model development in Cloudera Machine Learning

Cloudera

APRIL 10, 2021

When working on complex, or rigorous enterprise machine learning projects, Data Scientists and Machine Learning Engineers experience various degrees of processing lag training models at scale. CPUs and GPUs can be used in tandem for data engineering and data science workloads.

Machine Learning

Machine Learning Artificial Inteligence Development Software Review

Snowflake Best Practices for Data Engineering

Perficient

FEBRUARY 13, 2023

Introduction: We often end up creating a problem while working on data. So, here are few best practices for data engineering using snowflake: 1.Transform This means that data can be truncated and reprocessed if errors are found in the transformation pipeline , providing data scientists with a great source of raw data.

Data Engineering

Data Engineering Engineering Data Storage

Unlocking the Power of AI with a Real-Time Data Strategy

CIO

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. It’s also used to deploy machine learning models, data streaming platforms, and databases.

Artificial Inteligence

Artificial Inteligence Strategy Data Machine Learning

Building a Machine Learning Application With Cloudera Data Science Workbench And Operational Database, Part 3: Productionization of ML models

Cloudera

JANUARY 20, 2021

For more context, this demo is based on concepts discussed in this blog post How to deploy ML models to production. Machine learning is now being used to solve many real-time problems. One big use case is with sensor data. Building ML models directly on HBase data is now available for any data scientist and data engineer.

Machine Learning

Machine Learning Artificial Inteligence Applications Data

Hire Big Data Engineer: Salaries, Stack and Roles

Mobilunity

AUGUST 3, 2021

The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer? Big Data requires a unique engineering approach. Big Data Engineer vs Data Scientist.

Big Data

Big Data Data Engineering Engineering Data

Managing Python dependencies for Spark workloads in Cloudera Data Engineering

Cloudera

APRIL 30, 2021

Apache Spark is now widely used in many enterprises for building high-performance ETL and Machine Learning pipelines. Cloudera Data Engineering (CDE) is a cloud-native service purpose-built for enterprise data engineering teams. Try out Cloudera Data Engineering today! docker login [link].

Data Engineering

Data Engineering Engineering Data Software Review

Introducing Self-Service, No-Code Airflow Authoring UI in Cloudera Data Engineering

Cloudera

OCTOBER 19, 2021

Additionally, the introduction of more CDP operators that integrate with CML (machine learning) and COD (operation database) are critical for a complete end-to-end orchestration service. The post Introducing Self-Service, No-Code Airflow Authoring UI in Cloudera Data Engineering appeared first on Cloudera Blog.

Data Engineering

Data Engineering Engineering Data Virtualization

Our Skills at Your Disposal: Machine Learning

UruIT

JUNE 8, 2019

Applying AI and machine learning to creating solutions for your business. Over the past couple of years, we’ve committed ourselves to develop UruIT’s Machine Learning capabilities to offer its advantages to our partners. . Leverage data to create UX-enhancing models . Data Collection and Preparation.

Machine Learning

Machine Learning Artificial Inteligence Systems Review Software Review

Enabling The Full ML Lifecycle For Scaling AI Use Cases

Cloudera

DECEMBER 17, 2020

When it comes to machine learning (ML) in the enterprise, there are many misconceptions about what it actually takes to effectively employ machine learning models and scale AI use cases. Accelerating the Full Machine Learning Lifecycle With Cloudera Data Platform. Laurence Goasduff, Gartner.

Machine Learning

Machine Learning Artificial Inteligence Data Engineering Engineering

The Top 10 Most Popular VISION Blogs of 2017

Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. Machine Learning in the Age of Big Data. Sean Anderson provides a tutorial on machine learning. From its origins in the 1950’s to today, the age of big data. Simplifying Big Data in the Cloud.

Artificial Inteligence

Artificial Inteligence Machine Learning Big Data IoT

Data Science on Steroids: Productionised Machine Learning as a Value Driver for Business

OpenCredo

JULY 31, 2018

Machine Learning, alongside a mature Data Science, will help to bring IT and business closer together. By leveraging data for actionable insights, IT will increasingly drive business value. To many of you reading this blog post, the notion that IT is often viewed as a Cost Centre will come as no surprise.

Artificial Inteligence

Artificial Inteligence Machine Learning Data Artificial Intelligence

Using other CDP services with Cloudera Operational Database

Cloudera

FEBRUARY 16, 2021

In the previous blog post , we looked at some of the application development concepts for the Cloudera Operational Database (COD). In this blog post, we’ll see how you can use other CDP services with COD. You can use COD with: Cloudera DataFlow to ingest and aggregate data from various sources. Cloudera Data Engineering.

Machine Learning

Machine Learning Artificial Inteligence Policies Data Engineering

Modernizing Data Pipelines using Cloudera Data Platform – Part 1

Cloudera

JUNE 2, 2021

As critical elements in supplying trusted, curated, and usable data for end-to-end analytic and machine learning workflows, the role of data pipelines is becoming indispensable. To keep up, data pipelines are being vigorously reshaped with modern tools and techniques.

Data

Data Data Engineering Machine Learning Artificial Inteligence

Happy Birthday, CDP Public Cloud

Cloudera

OCTOBER 13, 2020

In the beginning, CDP ran only on AWS with a set of services that supported a handful of use cases and workload types: CDP Data Warehouse: a kubernetes-based service that allows business analysts to deploy data warehouses with secure, self-service access to enterprise data. Predict – Data Engineering (Apache Spark).

Cloud

Cloud Machine Learning Artificial Inteligence Azure

DNS Zone Setup Best Practices on Azure

Cloudera

FEBRUARY 12, 2024

In this blog, we’ll take you through our tried and tested best practices for setting up your DNS for use with Cloudera on Azure. Customers can request this entitlement to be set either through a JIRA ticket or have their Cloudera solution engineer to make the request on their behalf.

Azure

Azure Firewall Data Engineering Storage

How to hire a data scientist

Hacker Earth Developers Blog

JUNE 26, 2019

Data science is an interdisciplinary field that uses a blend of data inference and algorithm development to solve complex analytical problems. An ideal candidate has skills in the 3 fields: mathematics/ statistics/ machine learning/ programming and business/ domain knowledge. . Machine Learning and Programming.

Data

Data How To Recruiting Machine Learning

How to Use Apache Iceberg in CDP’s Open Lakehouse

Cloudera

AUGUST 8, 2022

The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Cloudera Data Engineering (Spark 3) with Airflow enabled. Cloudera Machine Learning

How To

How To Travel Machine Learning Artificial Inteligence

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Artificial Inteligence

Artificial Inteligence Generative AI Security Applications

Databricks Partners with Google Cloud to Deliver its Platform to Global Businesses

DevOps.com

FEBRUARY 17, 2021

Databricks launches on Google Cloud with integrations to Google BigQuery and AI Platform that unify data engineering, data science, machine learning, and analytics across both companies’ services Sunnyvale and San Francisco, Calif.,

Google Cloud

Google Cloud Cloud Machine Learning Artificial Inteligence

Educating ChatGPT on Data Lakehouse

Cloudera

MARCH 17, 2023

I took the free version of ChatGPT on a test drive (in March 2023) and asked some simple questions on data lakehouse and its components. Hopefully this blog will give ChatGPT an opportunity to learn and correct itself while counting towards my 2023 contribution to social good. I thought this was a fairly comprehensive list.

ChatGPT

ChatGPT Education Data Comparison

One Big Cluster Stuck: The Right Tool for the Right Job

Cloudera

JUNE 26, 2023

Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models.

Tools

Tools Data Engineering Analytics Testing

Change The Way You Do ML With Applied ML Prototypes

Cloudera

FEBRUARY 25, 2021

Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses. The work of a machine learning model developer is highly complex. We work with the largest companies in the world to help tackle their most challenging ML problems.

Machine Learning

Machine Learning Artificial Inteligence Telecommunications Enterprise

Applying Fine Grained Security to Apache Spark

Cloudera

AUGUST 3, 2022

By leveraging Hive to apply Ranger FGAC, Spark obtains secure access to the data in a protected staging area. Since Spark has direct access to the staged data, any Spark APIs can be used, from complex data transformations to data science and machine learning. . Fine grained access control (FGAC) with Spark.

Policies

Policies Machine Learning Artificial Inteligence Data Engineering

Don’t Blink: You’ll Miss Something Amazing!

Cloudera

OCTOBER 4, 2023

Containerized service to run both multiple compute clusters against the same data, and to configure each cluster with its own unique characteristics (instance types, initial and growth sizing parameters, and workload aware auto scaling capabilities). appeared first on Cloudera Blog. The post Don’t Blink: You’ll Miss Something Amazing!

Analytics

Analytics Machine Learning Artificial Inteligence Telecommunications

Cloudera Supercharges the Enterprise Data Cloud with NVIDIA

Cloudera

OCTOBER 5, 2020

Cloudera Data Platform Powered by NVIDIA RAPIDS Software Aims to Dramatically Increase Performance of the Data Lifecycle Across Public and Private Clouds. This exciting initiative is built on our shared vision to make data-driven decision-making a reality for every business. Compared to previous CPU-based architectures, CDP 7.1

Enterprise

Enterprise Cloud Data Machine Learning

How CIOs Can Become Artificial Intelligence Experts

The Accidental Successful CIO

JANUARY 25, 2023

Thanks to their easy-to-use interfaces, programs for these AI templates which are known as automated machine learning, or automated ML are even being used by data scientists themselves. Automated ML can be used to ease the pain of data science. These new tools are called automated machine learning.

Artificial Inteligence

Artificial Inteligence Artificial Intelligence Machine Learning Training

No Average Patient – Leveraging Data for Precision Healthcare

Cloudera

MARCH 28, 2023

Data is also used to identify the most effective treatments for each patient. By analyzing a patient’s genomic makeup using machine learning (ML) algorithms, healthcare providers can identify specific mutations or genetic markers that may indicate a particular treatment will be more effective than others. Indiana Ave.

Healthcare

Healthcare Data Machine Learning Artificial Inteligence

Mastering Day 2 Operations with Cloudera

Cloudera

FEBRUARY 1, 2024

The other half of the equation requires your team’s emphasis to shift to sustained excellence in managing and optimizing your data ecosystem — better known as Day 2 operations. In this blog, we’ll cover the highlights of our recently published Day 2 Operations Guide and why it matters to enterprises.

Backup

Backup Cloud Architecture Resources

Automating CDP Private Cloud Installations with Ansible

Cloudera

MAY 10, 2021

The introduction of CDP Public Cloud has dramatically reduced the time in which you can be up and running with Cloudera’s latest technologies, be it with containerised Data Warehouse , Machine Learning , Operational Database or Data Engineering experiences or the multi-purpose VM-based Data Hub style of deployment.

Cloud

Cloud Machine Learning Artificial Inteligence Software Review

7 Free Google Cloud Training Resources

ParkMyCloud

DECEMBER 11, 2020

If you know where to look, open-source learning is a great way to get familiar with different cloud service providers. . With the combined knowledge from our previous blog posts on free training resources for AWS and Azure , you’ll be well on your way to expanding your cloud expertise and finding your own niche. Blogs & Forums.

Google Cloud

Google Cloud Training Resources Cloud

Data Architect: Role Description, Skills, Certifications and When to Hire

Altexsoft

FEBRUARY 11, 2023

The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority.

Data

Data Data Engineering Big Data Architecture

How to Screen and Interview Fintech Data Engineer

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry.

Data Engineering

Data Engineering Fintech Engineering Data

What’s new in CDP Private Cloud 1.2?

Cloudera

MAY 17, 2021

CDP (Cloudera Data Platform) Private Cloud 1.2 release blog ). In this blog, we’ll cover the complete range of new capabilities and updates for CDP Private Cloud as a whole (the platform) as well as for both the CDW (Cloudera Data Warehouse) and CML (Cloudera Machine Learning) services. Beyond PVC 1.2.

Cloud

Cloud Machine Learning Artificial Inteligence Storage

RISELab’s AutoPandas hints at automation tech that will change the nature of software development

O'Reilly Media - Ideas

JULY 1, 2019

But we are also beginning to see AI and machine learning gain traction in areas like customer service and IT. One area I’m particularly interested in is the application of AI and automation technologies in data science, data engineering, and software development. numpy, TensorFlow, etc.).

Software Development

Software Development Artificial Inteligence Software Machine Learning

Gartner® Magic Quadrant™ for Cloud Database Report Recognizes Cloudera as a Visionary

Cloudera

JANUARY 19, 2022

We have been working hard to build our cloud-native data services on Cloudera Data Platform (CDP), which include CDP Data Warehouse, CDP Operational Database, CDP Machine Learning, CDP Data Engineering and CDP Data Flow.

Report

Report Technical Advisors Cloud Analytics

Next Stop – Predicting on Data with Cloudera Machine Learning

Of Muffins and Machine Learning Models

Trending Sources

Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data…

Make Your Models Matter: What It Takes to Maximize Business Value from Your Machine Learning Initiatives

How Prompt-Based Development Revolutionizes Machine Learning Workflows

Machine Learning with Python, Jupyter, KSQL and TensorFlow

Managing Machine Learning Workloads Using Kubeflow on AWS with D2iQ Kaptain

10 most in-demand generative AI skills

Building a Machine Learning Application With Cloudera Data Science Workbench And Operational Database, Part 1: The Set-Up & Basics

Enabling NVIDIA GPUs to accelerate model development in Cloudera Machine Learning

Snowflake Best Practices for Data Engineering

Unlocking the Power of AI with a Real-Time Data Strategy

Building a Machine Learning Application With Cloudera Data Science Workbench And Operational Database, Part 3: Productionization of ML models

Hire Big Data Engineer: Salaries, Stack and Roles

Managing Python dependencies for Spark workloads in Cloudera Data Engineering

Introducing Self-Service, No-Code Airflow Authoring UI in Cloudera Data Engineering

Our Skills at Your Disposal: Machine Learning

Enabling The Full ML Lifecycle For Scaling AI Use Cases

The Top 10 Most Popular VISION Blogs of 2017

Data Science on Steroids: Productionised Machine Learning as a Value Driver for Business

Using other CDP services with Cloudera Operational Database

Modernizing Data Pipelines using Cloudera Data Platform – Part 1

Happy Birthday, CDP Public Cloud

DNS Zone Setup Best Practices on Azure

How to hire a data scientist

How to Use Apache Iceberg in CDP’s Open Lakehouse

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

Databricks Partners with Google Cloud to Deliver its Platform to Global Businesses

Educating ChatGPT on Data Lakehouse

One Big Cluster Stuck: The Right Tool for the Right Job

Change The Way You Do ML With Applied ML Prototypes

Applying Fine Grained Security to Apache Spark

Don’t Blink: You’ll Miss Something Amazing!

Cloudera Supercharges the Enterprise Data Cloud with NVIDIA

How CIOs Can Become Artificial Intelligence Experts

No Average Patient – Leveraging Data for Precision Healthcare

Mastering Day 2 Operations with Cloudera

Automating CDP Private Cloud Installations with Ansible

7 Free Google Cloud Training Resources

Data Architect: Role Description, Skills, Certifications and When to Hire

How to Screen and Interview Fintech Data Engineer

What’s new in CDP Private Cloud 1.2?

RISELab’s AutoPandas hints at automation tech that will change the nature of software development

Gartner® Magic Quadrant™ for Cloud Database Report Recognizes Cloudera as a Visionary

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