Cloudera

FEBRUARY 15, 2023

His day-to-day consists of development activities like writing and reviewing code, working on features around release timelines, and participating in design meetings for the team supporting the CDP Data Engineering product. Amogh has the unique experience of working on CDP Data Engineering during his internship.

Software Engineering 82

Software Engineering Software Review Engineering Software 82

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 76

Tools Data Engineering Analytics Testing 76

The Citus Data

MARCH 31, 2023

A developer friend of mine prefers to read about what to expect at upcoming events in the narrative form of a blog, rather than having to click in and out of different abstracts on a schedule page. Additional IO Observability in Postgres with pg stat io , by Melanie Plageman on the Postgres Open Source team at Microsoft.

Azure 85

Azure Open Source Virtualization Software Engineering 85

Cloudera

MAY 13, 2021

Our Choose the Right Stream Processing Engine for Your Data Needs whitepaper makes those comparisons for you, so you can quickly and confidently determine which engine best meets your key business requirements. And as your needs change, you need the flexibility to change engines.

Engineering 101

Engineering Comparison Open Source Scalability 101

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 89

Enterprise Cloud Data Machine Learning 89

Cloudera

JUNE 18, 2022

Netflix, where this innovation was born, is perhaps the best example of a 100 PB scale S3 data lake that needed to be built into a data warehouse. The cloud native table format was open sourced into Apache Iceberg by its creators. At Cloudera, we are proud of our open-source roots and committed to enriching the community.

Data 91

Data Analytics Open Source Architecture 91

Cloudera

DECEMBER 11, 2020

In a previous blog post on CDW performance, we compared Azure HDInsight to CDW. In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to EMR 6.0 (also powered by Apache Hive-LLAP) on Amazon using the TPC-DS 2.9 More on this later in the blog.

Performance 107

Performance Data Comparison Virtualization 107

CTOvision

JUNE 15, 2015

You know Spark, the free and open source complement to Apache Hadoop that gives enterprises better ability to field fast, unified applications that combine multiple workloads, including streaming over all your data. They also launched a plan to train over a million data scientists and data engineers on Spark.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

TechCrunch

OCTOBER 7, 2021

If your customers are data engineers, it probably won’t make sense to discuss front-end web technologies. Blog articles are certainly core, but you want to make sure you’re covering the right topics in the right way. Outside content, there’s events (in-person and virtual), advertising, sponsorships, open source and tools.

Weak Development Team 231

Weak Development Team Software Development Marketing Technical Advisors 231

Cloudera

SEPTEMBER 21, 2021

Many customers looking at modernizing their pipeline orchestration have turned to Apache Airflow, a flexible and scalable workflow manager for data engineers. But now it has become very simple and secure with our release of the Cloudera Airflow provider , which gives users the best of Airflow and CDP data services.

Off-The-Shelf 96

Off-The-Shelf Data Engineering Virtualization Cloud 96

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. .

Azure 117

Azure Data Comparison Virtualization 117

Cloudera

JULY 27, 2021

When it comes to Data and AI, the industry is increasingly committed to a hybrid cloud approach. Reach out to me personally to learn more or follow my viewpoint through blogs and other channels at cloudera.com/blogs. The post Driving Standards & Collaboration in Telco with Data & AI appeared first on Cloudera Blog.

Telecommunications 61

Telecommunications Data Architecture Big Data 61

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. Download the reports to see the detailed scores .

Report 88

Report Technical Advisors Cloud Analytics 88

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.

Google Cloud 97

Google Cloud Training Resources Cloud 97

O'Reilly Media - Data

JULY 10, 2018

Data scientists, data engineers, AI and ML developers, and other data professionals need to live ethical values, not just talk about them. The hard thing about being an ethical data scientist isn’t understanding ethics. It’s doing good data science. It’s the junction between ethical ideas and practice.

Data 173

Data Weak Development Team Software Review Culture 173

Cloudera

JANUARY 20, 2021

to make a classification model based off of training data stored in both Cloudera’s Operational Database (powered by Apache HBase) and Apache HDFS. For more context, this demo is based on concepts discussed in this blog post How to deploy ML models to production. Make sure you read Part 1 and Part 2 before reading this installment.

Machine Learning 112

Machine Learning Artificial Inteligence Applications Data 112

Confluent

FEBRUARY 6, 2019

Uber expanded Michelangelo “to serve any kind of Python model from any source to support other Machine Learning and Deep Learning frameworks like PyTorch and TensorFlow [instead of just using Spark for everything].”. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Cloudera

FEBRUARY 25, 2021

They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. The post Change The Way You Do ML With Applied ML Prototypes appeared first on Cloudera Blog. AMPs are a revolutionary way to accelerate your ML initiatives.

Machine Learning 82

Machine Learning Artificial Inteligence Telecommunications Enterprise 82

Cloudera

JUNE 7, 2022

Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform. We deliver cloud-native data analytics across the full data lifecycle – data distribution, data engineering, data warehousing, transactional data, streaming data, data science, and machine learning – that’s portable across infrastructures.

Data 109

Data Architecture Analytics Government 109

Erik Bernhardsson

OCTOBER 27, 2015

Anyway, reposting the full interview: As part of my interviews with Data Scientists I recently caught up with Erik Bernhardsson who is famous in the world of ‘Big Data’ for his open source contributions, his leading of teams at Spotify, and his various talks at various conferences.

Data 100

Data Big Data Machine Learning Artificial Inteligence 100

Erik Bernhardsson

OCTOBER 27, 2015

Anyway, reposting the full interview: As part of my interviews with Data Scientists I recently caught up with Erik Bernhardsson who is famous in the world of ‘Big Data’ for his open source contributions, his leading of teams at Spotify, and his various talks at various conferences.

Data 100

Data Big Data Machine Learning Artificial Inteligence 100

Netflix Tech

MARCH 5, 2019

While our engineering teams have and continue to build solutions to lighten this cognitive load (better guardrails, improved tooling, …), data and its derived products are critical elements to understanding, optimizing and abstracting our infrastructure. Give us a holler if you are interested in a thought exchange.

Infrastructure 73

Infrastructure Scalability Cloud Data 73

Cloudera

SEPTEMBER 1, 2020

Solr is a standard and open source, commonly adopted text search engine with rich query APIs for performing analytics over text and other unstructured data. For the examples presented in this blog, we assume you have a CDP account already. Before you Get Started.

Data 67

Data Backup Disaster Recovery Storage 67

Altexsoft

AUGUST 25, 2021

People are doing NLP projects all the time and they’re publishing their results in papers and blogs. Use your own knowledge or invite domain experts to correctly identify how much data is needed to capture the complexity of the task. Open-source toolkits. Comparing popular open-source NLP tools.

Tools 139

Tools Artificial Inteligence Technical Review Systems Review 139

Kentik

OCTOBER 2, 2017

Even in networking, hard-core bastion of the command-line interface (CLI), APIs have become useful enough that commentators such as Chris Grundemann are blogging about whether the API is the new CLI for networking professionals. Another powerful resource for API calls is our API tester which allows the user to try out API syntax in a GUI.

Open Source 40

Open Source Metrics Network System 40

Xebia

FEBRUARY 25, 2024

In this blog post, we’ll try to demystify MLOps and take you through the process of going from a notebook to your very own industry-grade ML application. Data science is generally not operationalized Consider a data flow from a machine or process, all the way to an end-user. What is this thing called MLOps ?

Applications 130

Applications Technical Review Software Review Azure 130

Cloudera

DECEMBER 10, 2020

Drawing on more than a decade of experience in building and deploying massive scale data platforms on economical budgets, Cloudera has designed and delivered a cost-cutting cloud-native solution – Cloudera Data Warehouse (CDW), part of the new Cloudera Data Platform (CDP). Watch this video to get an overview of CDW. .

Data 98

Data Technical Review Storage Systems Review 98

Cloudera

MAY 22, 2018

Data scientists often develop models using a variety of Python/R open source packages. The post Now Available: Cloudera Data Science Workbench Release 1.4 appeared first on Cloudera Blog. The hard part is exposing those models to different stakeholders.

Data 41

Data Load Balancer Machine Learning Artificial Inteligence 41

Cloudera

MARCH 23, 2022

Through Cloudera’s contributions, we have extended support for Hive and Impala, delivering on the vision of a data architecture for multi-function analytics from large scale data engineering (DE) workloads and stream processing (DF) to fast BI and querying (within DW) and machine learning (ML). . 2: Open formats.

Data 90

Data Open Source Storage Machine Learning 90

Cloudera

OCTOBER 19, 2023

Integrating these capabilities into a data platform gives telcos the flexibility to navigate changing conditions while enforcing data security, compliance with regulations, and delivering novel products. Download the e-book A Hybrid Data Cloud for Accelerated Insight and learn more about the benefits of a hybrid data platform.

Data 74

Data Compliance Architecture Data Engineering 74

Xebia

MAY 16, 2023

TL;DR : Kedro is an open-source data pipeline framework that simplifies writing code that works on multiple cloud platforms. If you want to improve your data pipeline development skills and simplify adapting code to different cloud platforms, Kedro is a good choice. In other words, respectable, yet unnecessary efforts.

Cloud 130

Cloud Data Azure Open Source 130

Cloudera

OCTOBER 7, 2022

dbt allows data teams to produce trusted data sets for reporting, ML modeling, and operational workflows using SQL, with a simple workflow that follows software engineering best practices like modularity, portability, and continuous integration/continuous development (CI/CD). Introduction. dbt-impala . dbt-spark-livy.

SDLC 81

SDLC Data Open Source Handbook 81

Datavail

JUNE 8, 2023

From DBA to Data Engineer—The Strategic Role of DBAs in the Cloud Over the past few years, the IT landscape has experienced significant disruptions. Finally, he concluded by emphasizing the importance of understanding data engineering principles such as data governance, security protocols, scalability strategies, etc.,

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

AWS Machine Learning - AI

JANUARY 26, 2024

Repeat this process for each of the OWASP Top 10 for LLM vulnerabilities to ensure you’re maximizing the value of AWS services to implement defense in depth to protect your data and workloads.

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

Cloudera

NOVEMBER 19, 2020

Cloudera Data Platform (CDP) is a solution that integrates open-source tools with security and cloud compatibility. Governance: With a unified data platform, government agencies can apply strict and consistent enterprise-level data security, governance, and control across all environments.

Government 116

Government Artificial Inteligence Machine Learning Data 116

Cloudera

AUGUST 24, 2022

It unifies self-service data science and data engineering in a single, portable service as part of an enterprise data cloud for multi-function analytics on data anywhere. Data professionals who use CML spend the vast majority of their time in an isolated compute session that comes pre-loaded with an editor UI.

Machine Learning 80

Machine Learning Artificial Inteligence Open Source Windows 80

Cloudera

SEPTEMBER 9, 2022

analyst Sumit Pal, in “Exploring Lakehouse Architecture and Use Cases,” published January 11, 2022: “Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support AI, BI, ML, and data engineering on a single platform.” According to Gartner, Inc.

Architecture 99

Architecture Innovation Data Machine Learning 99