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 104

Artificial Inteligence Cloud Generative AI Analytics 104

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 118

Artificial Inteligence Generative AI Security Applications 118

Cloudera

OCTOBER 1, 2022

These companies face a unique set of data governance challenges regarding infrastructure and compliance on local, national, and international levels. Some organizations are choosing to confront these challenges with the help of tools like machine learning (ML) and artificial intelligence (AI) to automate, streamline, and scale compliance. .

Government 73

Government Artificial Inteligence Enterprise Strategy 73

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 98

Artificial Inteligence Artificial Intelligence Machine Learning Training 98

Cloudera

NOVEMBER 19, 2020

In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud. Machine learning algorithms enable fraud detection systems to distinguish between legitimate and fraudulent behaviors. Learn more: Fraud Prevention Resource Kit.

Government 117

Government Artificial Inteligence Machine Learning Data 117

Cloudera

OCTOBER 19, 2023

This exponential growth in connected devices will force telcos to up their game, first by provisioning the capacity they need to scale and maintain next-gen 5G data networks, and later by improving the effectiveness of their data management and governance practices.

Data 75

Data Compliance Architecture Data Engineering 75

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 66

Healthcare Data Machine Learning Artificial Inteligence 66

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. Carla Gentry.

Artificial Inteligence 109

Artificial Inteligence Technical Advisors Data Machine Learning 109

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 82

Backup Architecture Cloud Resources 82

Cloudera

JULY 14, 2023

Depending on the size and usage patterns of the data, several different strategies could be pursued to achieve a successful migration. In this blog, I will describe a few strategies one could undertake for various use cases. In all the use cases we are trying to migrate a table named “events.”

Backup 70

Backup Data Engineering Engineering Data 70

Cloudera

FEBRUARY 8, 2021

This is part 2 in this blog series. You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. The first blog introduced a mock connected vehicle manufacturing company, The Electric Car Company (ECC), to illustrate the manufacturing data path through the data lifecycle.

Data 116

Data Technical Review Data Engineering Analysis 116

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 89

Cloud Machine Learning Artificial Inteligence Storage 89

Cloudera

SEPTEMBER 14, 2020

Everybody needs more data and more analytics, with so many different and sometimes often conflicting needs. Data engineers need batch resources, while data scientists need to quickly onboard ephemeral users. The post Fundamentals for Success in Cloud Data Management appeared first on Cloudera Blog.

Cloud 109

Cloud Data Compliance Government 109

Cloudera

JANUARY 27, 2021

Active monitoring for intrusion events and security incident handling. Data backup and disaster recovery. CDP Public Cloud consists of a set of best-of-breed analytic services covering streaming, data engineering, data warehouse, operational database, and machine learning, all secured and governed by Cloudera SDX.

Cloud 103

Cloud Disaster Recovery Software Review Technical Review 103

Cloudera

MAY 13, 2021

Since my last blog, What you need to know to begin your journey to CDP , we received many requests for a tool from Cloudera to analyze the workloads and help upgrade or migrate to Cloudera Data Platform (CDP). We might find the root cause by realizing that a problem recurs at a particular time, or coincides with another event. .

Data Engineering 71

Data Engineering Cloud Weak Development Team Resources 71

Palo Alto Networks

AUGUST 23, 2021

We wanted to provide a modern cloud-based platform leveraging the latest in machine learning, analytics and automation to fight the many cyber attacks businesses face every day. Cortex XDR’s Third-Party Data Engine Now Delivers the Ability to Ingest, Normalize, Correlate, Query and Analyze Data from Virtually Any Source.

Cloud 92

Cloud Machine Learning Artificial Inteligence Analytics 92

Cloudera

SEPTEMBER 10, 2021

By more effectively leveraging its petabytes of current and historical data, the IRS is working to stave off costly fraud and waste, more efficiently deliver on fundamental missions, and better protect taxpayers, including from risks such as identity theft. Pairing High-Tech Keys to Unlock the Power of Data.

Artificial Inteligence 67

Artificial Inteligence Machine Learning Artificial Intelligence Engineering 67

Cloudera

JANUARY 20, 2021

The missing chapter is not about point solutions or the maturity journey of use cases, the missing chapter is about the data, it’s always been about the data, and most importantly the journey data weaves from edge to artificial intelligence insight. .

Data 107

Data Artificial Inteligence Analytics Machine Learning 107

Cloudera

NOVEMBER 2, 2020

Having a live view of all aspects of their network lets them identify potentially faulty hardware in real time so they can avoid impact to customer call/data service. Ingest 100s of TB of network event data per day . Updates and deletes to ensure data correctness. Time Series and Event Analytics Specialized RTDW.

Data 94

Data Analytics Storage Big Data 94

N2Growth Blog

JANUARY 10, 2017

Systems Engineer. Data Analyst. DEADS: Data Engineer and Data Scientist. Machine Learning Engineer. Deep Learning (a branch of Machine Learning) uses a ‘neural network’ which receives an input, analyses it, makes a determination and is informed if its determination is correct.

Company 86

Company Artificial Inteligence Big Data Machine Learning 86

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 170

Data Weak Development Team Software Review Culture 170

Netflix Tech

OCTOBER 18, 2022

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Data 81

Data UI/UX Systems Review Software Review 81

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 70

Weak Development Team Engineering Analytics Storage 70

Cloudera

OCTOBER 25, 2022

Enabling data and analytics in the cloud allows you to have infinite scale and unlimited possibilities to gain faster insights and make better decisions with data. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.

Cloud 52

Cloud Data Firewall AWS 52

Altexsoft

AUGUST 25, 2021

Natural language processing or NLP is a branch of Artificial Intelligence that gives machines the ability to understand natural human speech. Another way to handle unstructured text data using NLP is information extraction (IE). Information extraction is a key technology in many high level tasks including: Machine translation.

Tools 139

Tools Artificial Inteligence Technical Review Systems Review 139

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

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

Xebia

MARCH 10, 2021

In essence, this means the organisation wants to make better business decisions based on insights provided by data [4]. Data itself is not able to advise a business for better decision-making. Therefore these organisations introduce a new capability: Data & Analytics. Figure 1 shows the skills of a typical data scientist.

DevOps 130

DevOps Data Analytics Policies 130

Netflix Tech

NOVEMBER 20, 2023

It also improves the engineering productivity by simplifying the existing pipelines and unlocking the new patterns. In this blog post, we talk about the landscape and the challenges in workflows at Netflix. Users configure the workflow to read the data in a window (e.g. data arrives too late to be useful).

Windows 84

Windows Software Review Data Engineering 84

UruIT

OCTOBER 17, 2019

From our experience, we realized that there are great profiles in Bogotá with strong skills in English and technical areas we’re interested in, such as Data Engineering, UX, Devops, and Machine Learning.” You can learn more about the open positions here. says Marcelo Martinez, UruIT Colombia Country Manager.

Technical Review 40

Technical Review Real Estate Airlines Strategic Planning 40

Cloudera

DECEMBER 14, 2020

Apache NiFi empowers data engineers to orchestrate data collection, distribution, and transformation of streaming data with capacities of over 1 billion events per second. . Apache Kafka helps data administrators and streaming app developers to buffer high volumes of streaming data for high scalability.

Analytics 70

Analytics Big Data Government Cloud 70

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. Interest in operations for machine learning (MLOps) grew 14% over the past year.

Trends 119

Trends Technical Review Technology Artificial Inteligence 119

Cloudera

OCTOBER 14, 2020

Apache Spark unifies batch processing, real-time processing, stream analytics, machine learning, and interactive query in one-platform. YuniKorn is also compatible with the management commands and utilities, such as cordon nodes, retrieving events via kubectl, etc. Background. Why choose K8s for Apache Spark. Acknowledgments.

Policies 116

Policies Resources Systems Review Technical Review 116

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. Traditional approach.

Big Data 78

Big Data Analytics Tools Applications 78

BPM

JANUARY 18, 2019

The current Artificial Intelligence (AI) fascination is unfortunately completely biased on Deep Neural Networks (DNN) and Machine Learning (ML) for everything. Top 5 List of what to expect in the BPM market in 2019: Event-Driven – The future of BPM is event-driven. Denis Gagne Trisotech [link]. Malcolm Ross Appian [link].

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Altexsoft

MARCH 31, 2020

These can be data science teams , data analysts, BI engineers, chief product officers , marketers, or any other specialists that rely on data in their work. The simplest illustration for a data pipeline. Data pipeline components. Data lakes are mostly used by data scientists for machine learning projects.

Data 76

Data Storage Analytics Data Center 76

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. What is Apache Airflow?

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52