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

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 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

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

O'Reilly Media - Ideas

JANUARY 25, 2024

Use of content about event-driven architecture is relatively small, but it’s up 40%. That change is important because event-driven architecture is a tool for designing large systems that have to ingest data from many different streams in real time. This change is apparently not an error in the data.

Trends 118

Trends Technical Review Technology Artificial Inteligence 118

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

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

Apiumhub

APRIL 8, 2021

We have created a list of people to help you eliminate unnecessary noise while staying connected to the Data Science community. The people listed promote learning and the sharing of knowledge by sharing their insights through LinkedIn, Twitter, blog posts, podcasts, books, workshops, etc. Vincent Granville. Bernard Marr. Monica Rogati.

Artificial Inteligence 109

Artificial Inteligence Technical Advisors Data Machine Learning 109

OpenCredo

JANUARY 26, 2023

This blog post is divided into three smaller posts, the first post will cover the model and extraction phases of our approach and the second and third posts will cover transformation and loading respectively. The data engineer and software engineer within me disagree about this! Fields Which fields should I ingest?

Big Data 52

Big Data Data Software Engineering Data Engineering 52

UruIT

JULY 23, 2019

MathWork focused on the development of these tools in order to become experts on high-end financial use and data engineering contexts. Also, its solid presence in data science and machine learning software marketplace has allowed it to build a strong user base and customer relations. Algorithmia.

Artificial Inteligence 81

Artificial Inteligence Machine Learning Azure Software Review 81

Altexsoft

AUGUST 25, 2021

Another way to handle unstructured text data using NLP is information extraction (IE). IE helps to retrieve pre-defined information such as a person’s name, a date of the event, phone number, etc. People are doing NLP projects all the time and they’re publishing their results in papers and blogs. Open-source toolkits.

Tools 139

Tools Artificial Inteligence Technical Review Systems Review 139

OpenCredo

MARCH 20, 2020

By humanising data we can improve security as well as motivation, satisfaction and productivity.</p. By making data security usable we also expect to make systems easier to manage, operate and understand. Data Engineering. These can be supplemented by best-of-breed open source and commercial software.

Cloud 40

Cloud Data Weak Development Team Compliance 40

AWS Machine Learning - AI

JANUARY 26, 2024

Plan for rollback and recovery from production security events and service disruptions such as prompt injection, training data poisoning, model denial of service, and model theft early on, and define the mitigations you will use as you define application requirements.

Artificial Inteligence 119

Artificial Inteligence Generative AI Security Applications 119

BPM

JANUARY 18, 2019

Top 5 List of what to expect in the BPM market in 2019: Event-Driven – The future of BPM is event-driven. As we move into a world that is more and more dominated by technologies such as big data, IoT, and ML, more and more processes will be started by external events. Brian Reale ProcessMaker [link]. 2019, oh my!

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Cloudera

OCTOBER 19, 2023

These transformations require a major rethinking of data architecture The onus is on telcos to revamp their data architectures so they can collect, process, and analyze data at or close to real time—i.e., Download the e-book A Hybrid Data Cloud for Accelerated Insight and learn more about the benefits of a hybrid data platform.

Data 73

Data Compliance Architecture Data Engineering 73

Abhishek Tiwari

JULY 20, 2019

Either they try to build perfect products or worse use their time to perfect their code by excessive re-factoring and re-engineering. long-lived teams get bored very quickly due to the repetitive and homogeneous nature of work which they channel out by spending time on things like open source projects. Why this is so important?

Engineering 61

Engineering Weak Development Team Software Review Technical Review 61

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 115

Government Artificial Inteligence Machine Learning Data 115

Github

OCTOBER 23, 2019

This year, Github is participating in the Python Brazil 2019 Conference , the largest Python programming event in Brazil, in Ribeirão Preto from October 23-28. The post Our help documentation is now available in Portuguese appeared first on The GitHub Blog. Join us at Python Brazil 2019.

Machine Learning 13

Machine Learning Artificial Inteligence Continuous Integration Open Source 13

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. Source: Apache Airflow.

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

Cloudera

JULY 13, 2023

A range of Iceberg table analysis such as listing table’s data file, selecting table snapshot, partition filtering, and predicate filtering can be delegated through Iceberg Java API instead, obviating the need for each query engine to implement it themself. However, Iceberg Java API calls are not always cheap.

Weak Development Team 69

Weak Development Team Engineering Analytics Storage 69

Altexsoft

OCTOBER 21, 2022

Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Confluent

FEBRUARY 22, 2019

The requirements for fast and reliable data pipelines are growing quickly at Deliveroo as the business continues to grow and innovate. We have delivered an event streaming platform which gives strong guarantees on data quality, using Apache Kafka ® and Protocol Buffers. The Need for a Structured Message Format.

Data 80

Data Software Review Weak Development Team Systems Review 80

Cloudera

OCTOBER 25, 2022

“They combine the best of both worlds: flexibility, cost effectiveness of data lakes and performance, and reliability of data warehouses.”. It allows users to rapidly ingest data and run self-service analytics and machine learning. Encryption is fundamental to cluster and data security. Encryption.

Cloud 52

Cloud Data Firewall AWS 52

Altexsoft

MAY 14, 2021

The best way to understand the idea behind Big Data analytics is to put it against regular data analytics. The analytics commonly takes place after a certain period of time or event. If you are an owner of an online shop, you may look at the data accumulated during a week and then analyze it. Source: phoenixNAP.

Big Data 78

Big Data Analytics Tools Applications 78

Netflix Tech

OCTOBER 18, 2022

As Big data and ML became more prevalent and impactful, the scalability, reliability, and usability of the orchestrating ecosystem have increasingly become more important for our data scientists and the company. In this blog, we use step and job interchangeably. Timeline including all state changes and related debug info.

Data 81

Data UI/UX Systems Review Software Review 81

Cloudera

OCTOBER 14, 2020

YuniKorn is also compatible with the management commands and utilities, such as cordon nodes, retrieving events via kubectl, etc. Cloudera’s CDP platform offers Cloudera Data Engineering experience which is powered by Apache YuniKorn (Incubating). Apache YuniKorn (Incubating) in CDP.

Policies 114

Policies Resources Systems Review Technical Review 114

Cloudera

AUGUST 20, 2021

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads.

Strategy 94

Strategy Data Technical Review Weak Development Team 94

Cloudera

DECEMBER 12, 2018

And so Impala was really about taking the experience of these big MPP systems on top of distributed file systems and moving that into an open source project for the world to use. As many of our customers already know, Apache Impala is one of the key components of our Modern Data Warehouse offering. Greg Rahn: Oh, definitely.

Data 41

Data Marketing Storage Big Data 41

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Introduction.

Architecture 122

Architecture Data Security Technical Review 122

Cloudera

APRIL 1, 2024

Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics. Our customers run some of the world’s most innovative, largest, and most demanding data science, data engineering, analytics, and AI use cases, including PB-size generative AI workloads.

Artificial Inteligence 101

Artificial Inteligence Cloud Generative AI Analytics 101