Artificial Inteligence, Big Data, Data Engineering and Scalability

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

AWS Machine Learning - AI

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. We then discuss how building on a secure foundation is essential for generative AI.

Artificial Inteligence

Artificial Inteligence Generative AI Security Applications

Hire Big Data Engineer: Salaries, Stack and Roles

Mobilunity

AUGUST 3, 2021

Big Data is a collection of data that is large in volume but still growing exponentially over time. It is so large in size and complexity that no traditional data management tools can store or manage it effectively. While Big Data has come far, its use is still growing and being explored.

Big Data

Big Data Data Engineering Engineering Data

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

CIO

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. report they have established a data culture 26.5%

Artificial Inteligence

Artificial Inteligence Strategy Data Machine Learning

What is Machine Learning Engineer: Responsibilities, Skills, and Value Brought

Altexsoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.

Artificial Inteligence

Artificial Inteligence Machine Learning Engineering Data Engineering

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

AI Chihuahua! Part I: Why Machine Learning is Dogged by Failure and Delays

d2iq

FEBRUARY 19, 2021

Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself. Adapted from Sculley et al.

Artificial Inteligence

Artificial Inteligence Machine Learning Technical Review Software Review

Forward Thinking Tech Leaders at IO Seeking Big Data Engineer

CTOvision

MAY 1, 2014

Senior Software Engineer – Big Data. IO is the global leader in software-defined data centers. IO has pioneered the next-generation of data center infrastructure technology and Intelligent Control, which lowers the total cost of data center ownership for enterprises, governments, and service providers.

Big Data

Big Data Data Engineering Engineering Data Center

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

Cloudera

JANUARY 20, 2021

Machine learning is now being used to solve many real-time problems. One big use case is with sensor data. Corporations now use this type of data to notify consumers and employees in real-time. Serving The Model . Through PySpark, data can be accessed from multiple sources. Background / Overview.

Machine Learning

Machine Learning Artificial Inteligence Applications Data

Hyper-Personalization in Banking: Leverage AI for transforming customer experience

Newgen Software

JUNE 5, 2024

In today’s rapidly evolving business landscape, establishing robust GenAI and machine learning capabilities is of the utmost importance, especially for enterprises managing substantial data volumes. She asks the IT team to connect to relevant data sources and help her with required data extraction.

Banking

Banking Machine Learning Artificial Inteligence Generative AI

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

The IBM Press Release on Spark That Every Tech Leader Should Read

CTOvision

JUNE 15, 2015

They also launched a plan to train over a million data scientists and data engineers on Spark. As data and analytics are embedded into the fabric of business and society –from popular apps to the Internet of Things (IoT) –Spark brings essential advances to large-scale data processing.

Open Source

Open Source Big Data Machine Learning Artificial Inteligence

Big Data Engineer: Role, Responsibilities, and Job Description

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. But it requires a different engineering approach and not just because of its amount. Data engineering vs big data engineering.

Big Data

Big Data Data Engineering Engineering Data

Data Lake Engineering Services

Mobilunity

MAY 8, 2023

Analytics zone is where data analysts and data scientists can access the data to perform queries, generate reports, and create models. The analytics zone may include tools for data visualization, machine learning, and predictive analytics. Data Security. Scalability. Scalability.

Engineering

Engineering Data Storage AWS

New live online training courses

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course

Course Training Artificial Inteligence Software Review

The Future Is Hybrid Data, Embrace It

Cloudera

JUNE 7, 2022

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. For Cloudera this is a back to the future moment.

Data

Data Architecture Analytics Government

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. Knowledge of Scala or R can also be advantageous.

Data Engineering

Data Engineering Fintech Engineering Data

Predictive analytics helps Fresenius anticipate dialysis complications

CIO

OCTOBER 18, 2023

“IDH holds a potentially severe immediate risk for patients during dialysis and therefore requires immediate attention from staff,” says Hanjie Zhang, director of computational statistics and artificial intelligence at the Renal Research Institute, a joint venture of Fresenius North America and Beth Israel Medical Center. “As

Artificial Inteligence

Artificial Inteligence Analytics Artificial Intelligence Machine Learning

219+ live online training courses opened for June and July

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course

Course Training Artificial Inteligence Software Review

Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. Who needs a data lake?

Architecture

Architecture Data Storage Machine Learning

How to Hire Freelance Data Scientist in 2023

Mobilunity

DECEMBER 21, 2022

Tech companies use data science to enhance user experience, create personalized recommendation systems, develop innovative solutions, and more. Data science in agriculture can help businesses develop data pipelines specifically for automation and fast scalability. Build and Deploy Machine Learning Models.

Data

Data How To Machine Learning Artificial Inteligence

Ultimate Guide to Citus Con: An Event for Postgres, 2023 edition

The Citus Data

MARCH 31, 2023

on-demand talk, Citus open source user) 6 Citus engineering talks Citus & Patroni: The Key to Scalable and Fault-Tolerant PostgreSQL , by Alexander Kukushkin who is a principal engineer at Microsoft and lead engineer for Patroni.

Azure

Azure Open Source Virtualization Software Engineering

Post: InterviewCamp.io, Scrapinghub, Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream

High Scalability

APRIL 14, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). this is going to be a challenging journey for any backend engineer! this is going to be a challenging journey for any backend engineer! Learn to balance architecture trade-offs and design scalable enterprise-level software.

Education

Education System Design Scalability Software Engineering

Post: InterviewCamp.io, Scrapinghub, Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream

High Scalability

APRIL 28, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). this is going to be a challenging journey for any backend engineer! this is going to be a challenging journey for any backend engineer! Learn to balance architecture trade-offs and design scalable enterprise-level software.

Education

Education System Design Scalability Software Engineering

DevOps in a data science world

Xebia

MARCH 10, 2021

Figure 1 shows the skills of a typical data scientist. However, the ‘Computer Science & IT’ skills are ok for the Machine Learning part, but the Software Development skills of a Data Scientist are focussed on the creation of the advanced analytics model. Data & Analytics adopting DevOps principles.

DevOps

DevOps Data Analytics Policies

The Good and the Bad of Apache Spark Big Data Processing

Altexsoft

JULY 18, 2023

On the other hand, the term spark often brings to mind a tiny particle that, despite its size, can start a large fire. These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Big data processing.

Weak Development Team

Weak Development Team Big Data Data Machine Learning

Post: Scrapinghub, Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream

High Scalability

MARCH 24, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). this is going to be a challenging journey for any backend engineer! this is going to be a challenging journey for any backend engineer! Triplebyte is unique because they're a team of engineers running their own centralized technical assessment.

Education

Education Software Engineering PHP System Design

Post: InterviewCamp.io, Scrapinghub, Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream

High Scalability

MARCH 30, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). this is going to be a challenging journey for any backend engineer! this is going to be a challenging journey for any backend engineer! Triplebyte is unique because they're a team of engineers running their own centralized technical assessment.

Education

Education System Design Software Engineering PHP

What is Data Engineering: Explaining Data Pipeline, Data Warehouse, and Data Engineer Role

Altexsoft

JUNE 25, 2019

Being at the top of data science capabilities, machine learning and artificial intelligence are buzzing technologies many organizations are eager to adopt. If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering.

Data Engineering

Data Engineering Engineering Data Artificial Inteligence

Data Collection for Machine Learning: Steps, Methods, and Best Practices

Altexsoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Machine Learning

Machine Learning Artificial Inteligence Data Systems Review

Supply Chain Control Tower: Enhancing Visibility and Resilience

Altexsoft

APRIL 13, 2023

“Control towers are the artificial intelligence (AI) of supply chain. You can read the details on them in the linked articles, but in short, data warehouses are mostly used to store structured data and enable business intelligence , while data lakes support all types of data and fuel big data analytics and machine learning.

Technical Review

Technical Review Software Review Analytics Systems Review

How a modern data platform supports government fraud detection

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.

Government

Government Artificial Inteligence Machine Learning Data

The Good and the Bad of Hadoop Big Data Framework

Altexsoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Big Data

Big Data Data Google Cloud Storage

Data Summit 2023 Event Recap

Datavail

JUNE 8, 2023

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone.

Database Administration

Database Administration Data Artificial Inteligence Analytics

Big Data Analytics: How It Works, Tools, and Real-Life Applications

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data

Big Data Analytics Tools Applications

Hadoop vs Spark: Main Big Data Tools Explained

Altexsoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? scalability.

Big Data

Big Data Tools Data Storage

Azure vs AWS: How to Choose the Cloud Service Provider?

Existek

JANUARY 11, 2022

And companies that have completed it emphasize gained advantages like accessibility, scalability, cost-effectiveness, etc. . For example, they considerably revised the cloud strategy due to the need to transform the delivery model from PaaS to IaaS, thus renaming Windows Azure to Microsoft Azure in 2014. . Machine learning.

Azure

Azure AWS Cloud How To

Cloud Certification Guide: How to Master & Showcase Your Expertise in AWS, Azure, & Google Cloud

ParkMyCloud

JANUARY 17, 2020

Individuals in an associate solutions architect role have 1+ years of experience designing available, fault-tolerant, scalable, and most importantly cost-efficient, distributed systems on AWS. Must prove knowledge of deploying, operating and managing highly available, scalable and fault-tolerant systems on AWS.

Google Cloud

Google Cloud Azure AWS Cloud

DBFS (Databricks File System) in Apache Spark

Perficient

FEBRUARY 16, 2024

In the world of big data processing, efficient and scalable file systems play a crucial role. DBFS is a distributed file system that comes integrated with Databricks, a unified analytics platform designed to simplify big data processing and machine learning tasks. What is DBFS? What is DBFS?

System

System Storage Azure Big Data

Introducing Apache Iceberg in Cloudera Data Platform

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists.

Data

Data Analytics Disaster Recovery Travel

The Data Science Iron Triangle – Modern BI and Machine Learning

Cloudera

JULY 9, 2018

Most organizations struggle to unlock data science in the enterprise. To that end, Cloudera offers the Data Science Workbench, a collaborative, scalable, and highly extensible platform for data exploration, analysis, modeling, and visualization. Being able to scale up and scale down rapidly is key.

Machine Learning

Machine Learning Artificial Inteligence Data Analytics

What is Streaming Analytics: Data Streaming, Stream Processing, and Real-time Analytics

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview.

Analytics

Analytics Data IoT Analysis

Metadata Management: Process, Tools, Use Cases, and Best Practices

Altexsoft

SEPTEMBER 9, 2022

In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. Ensure its scalability and integrability. Types of metadata.

Tools

Tools Technical Review Software Review Systems Review

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

Hire Big Data Engineer: Salaries, Stack and Roles

Trending Sources

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

What is Machine Learning Engineer: Responsibilities, Skills, and Value Brought

Machine Learning with Python, Jupyter, KSQL and TensorFlow

AI Chihuahua! Part I: Why Machine Learning is Dogged by Failure and Delays

Forward Thinking Tech Leaders at IO Seeking Big Data Engineer

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

Hyper-Personalization in Banking: Leverage AI for transforming customer experience

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

The IBM Press Release on Spark That Every Tech Leader Should Read

Big Data Engineer: Role, Responsibilities, and Job Description

Data Lake Engineering Services

New live online training courses

The Future Is Hybrid Data, Embrace It

How to Screen and Interview Fintech Data Engineer

Predictive analytics helps Fresenius anticipate dialysis complications

219+ live online training courses opened for June and July

Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

How to Hire Freelance Data Scientist in 2023

Ultimate Guide to Citus Con: An Event for Postgres, 2023 edition

Post: InterviewCamp.io, Scrapinghub, Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream

Sponsored Post: InterviewCamp.io, Scrapinghub, Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream

Post: InterviewCamp.io, Scrapinghub, Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream

Sponsored Post: InterviewCamp.io, Scrapinghub, Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream

DevOps in a data science world

The Good and the Bad of Apache Spark Big Data Processing

Post: Scrapinghub, Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream

Post: InterviewCamp.io, Scrapinghub, Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream

What is Data Engineering: Explaining Data Pipeline, Data Warehouse, and Data Engineer Role

Data Collection for Machine Learning: Steps, Methods, and Best Practices

Supply Chain Control Tower: Enhancing Visibility and Resilience

How a modern data platform supports government fraud detection

The Good and the Bad of Hadoop Big Data Framework

Data Summit 2023 Event Recap

Big Data Analytics: How It Works, Tools, and Real-Life Applications

Hadoop vs Spark: Main Big Data Tools Explained

Azure vs AWS: How to Choose the Cloud Service Provider?

Cloud Certification Guide: How to Master & Showcase Your Expertise in AWS, Azure, & Google Cloud

DBFS (Databricks File System) in Apache Spark

Introducing Apache Iceberg in Cloudera Data Platform

The Data Science Iron Triangle – Modern BI and Machine Learning

What is Streaming Analytics: Data Streaming, Stream Processing, and Real-time Analytics

Metadata Management: Process, Tools, Use Cases, and Best Practices

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