Analytics, Data Engineering, Machine Learning and Scalability

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

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

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. report they have established a data culture 26.5% report they have a data-driven organization 39.7%

Artificial Inteligence

Artificial Inteligence Strategy Data Machine Learning

Webinars

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

MORE WEBINARS

Key Data Engineer responsibilities

Apiumhub

JANUARY 26, 2022

Data engineer roles have gained significant popularity in recent years. Number of studies show that the number of data engineering job listings has increased by 50% over the year. And data science provides us with methods to make use of this data. Who are data engineers?

Data Engineering

Data Engineering Engineering Data Machine Learning

Dataiku and Snowflake Bring New Capabilities to Data Engineers, Data Scientists, & Developers

Dataiku

JUNE 15, 2022

One key to more efficient, effective AI model and application development is executing workloads on compute platforms that offer high scalability, performance, and concurrency.

Data Engineering

Data Engineering Engineering Data Development

Generative AI will be the key to achieving patient-centric care

CIO

DECEMBER 11, 2023

Any and all activities that focus on improving patient data, processes and communications are prime for improvement. With generative AI-based analytics and large language models, healthcare professionals will have a greater capacity to make tailored recommendations for preventative screenings and services. Artificial Intelligence

Generative AI

Generative AI Artificial Inteligence Healthcare Artificial Intelligence

P&G turns to AI to create digital manufacturing of the future

CIO

OCTOBER 1, 2022

Cretella says P&G will make manufacturing smarter by enabling scalable predictive quality, predictive maintenance, controlled release, touchless operations, and manufacturing sustainability optimization. These things have not been done at this scale in the manufacturing space to date, he says. Smart manufacturing at scale is a challenge.

Artificial Inteligence

Artificial Inteligence Azure IoT Analytics

The 10 most in-demand IT jobs in finance

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Data engineer. Business systems analyst.

Software Engineering

Software Engineering Data Engineering DevOps AWS

The 10 most in-demand IT jobs in finance

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Data engineer. Business systems analyst.

Software Engineering

Software Engineering Data Engineering DevOps AWS

Hire Big Data Engineer: Salaries, Stack and Roles

Mobilunity

AUGUST 3, 2021

Technologies that have expanded Big Data possibilities even further are cloud computing and graph databases. 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

Big Data Data Engineering Engineering Data

Real-time data processing: Databricks vs Flink

Perficient

MARCH 23, 2023

In this article, we will compare Databricks Streaming and Apache Flink to understand the underlying architecture, performance, scalability, latency and fault tolerance characteristics as well as programming model differences between them. Databricks Streaming also supports SQL queries to process streaming data in real-time.

Data

Data Machine Learning Artificial Inteligence Data Engineering

5 hot IT budget investments — and 2 going cold

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). We are working to transform ourselves into a data company mindset, finding newer ways to leverage data to support business growth.”

Budget

Budget Artificial Inteligence Technical Review VR

10 most difficult-to-fill IT roles — and how to address the gap

CIO

JULY 18, 2023

CIO.com’s 2023 State of the CIO survey recently zeroed in on the technology roles that IT leaders find the most difficult to fill, with cybersecurity, data science and analytics, and AI topping the list. We have learned to think and act quickly in our efforts to attract and retain top talent in these areas,” says Jeanine L.

Technical Advisors

Technical Advisors Artificial Inteligence Generative AI How To

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

DataOps Uncovered: A Bold New Approach to Telemetry and Network Visibility

Kentik

APRIL 12, 2023

Data scientists play a critical role in the DataOps ecosystem, leveraging advanced analytics and machine learning techniques to gain insights from large and complex data sets. DataOps team roles In a DataOps team, several key roles work together to ensure the data pipeline is efficient, reliable, and scalable.

Network

Network Data Engineering Machine Learning Artificial Inteligence

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

Cloudera

OCTOBER 4, 2023

We can move to predictive fraud and breach prevention, greatly increasing the protection of customer data and financial assets. Without real-time analytics we won’t catch the threats until after they’ve caused significant damage. We can also benefit from real-time stock ticker analytics, and other highly monetizable data assets.

Analytics

Analytics Machine Learning Artificial Inteligence Telecommunications

Using other CDP services with Cloudera Operational Database

Cloudera

FEBRUARY 16, 2021

You can use COD with: Cloudera DataFlow to ingest and aggregate data from various sources. Cloudera Data Engineering to ingest bulk data and data from mainframes. Cloudera Data Warehouse to perform ETL operations. Cloudera Machine learning to train and serve machine learning and AI models.

Machine Learning

Machine Learning Artificial Inteligence Policies Data Engineering

From particle physics to video streaming: predicting churn with AI

Agile Engine

SEPTEMBER 29, 2023

Few people know this, but enterprises often employ a machine learning technique that’s instrumental in particle physics experiments at the Large Hadron Collider. Just as the Large Hadron Collider accelerates subatomic particles, machine learning solutions set trillions of data points in motion to solve complex business challenges.

Video

Video Machine Learning Artificial Inteligence Automotive

Applying Fine Grained Security to Apache Spark

Cloudera

AUGUST 3, 2022

Customers will now get the same consistent view of their data with the analytic processing engine of their choice without any compromises. . Within CDP, Shared Data Experience (SDX) provides centralized governance, security, cataloging, and lineage. Fine grained access control (FGAC) with Spark. Starting with CDP 7.1.7

Policies

Policies Machine Learning Artificial Inteligence Data Engineering

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

Cloudera

JANUARY 19, 2022

Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases. Download the reports to see the detailed scores .

Report

Report Technical Advisors Cloud Analytics

Forward Thinking Tech Leaders at IO Seeking Big Data Engineer

CTOvision

MAY 1, 2014

We are developing innovative software in big data analytics, predictive modeling, simulation, machine learning and automation. This is a green-fields development position for a passionate and experienced engineer. Work collaboratively to deliver data in visually impactful ways. Primary Responsibilities.

Big Data

Big Data Data Engineering Engineering Data Center

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

What is DataOps? Collaborative, cross-functional analytics

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics

Analytics Data Engineering Machine Learning Artificial Inteligence

How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

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. What will be the cost of rolling out the winning cell of an AB test to all users?

Infrastructure

Infrastructure Scalability Cloud Data

DevOps in a data science world

Xebia

MARCH 10, 2021

Therefore these organisations introduce a new capability: Data & Analytics. This blog elaborates on how adopting DevOps principles can enhance business value creation for the world of Data & Analytics. Data & Analytics as a separate business domain. a data & analytics platform).

DevOps

DevOps Data Analytics Policies

Navigating the Data Lake: Insights from Building and Utilizing Data Lakes

InnovationM

MAY 14, 2023

Technologies Behind Data Lake Construction Distributed Storage Systems: When building data lakes, distributed storage systems play a critical role. These systems ensure high availability and facilitate the storage of massive data volumes. Data Ingestion Tools: The journey of constructing a data lake starts with data ingestion.

Data

Data Storage Construction Business Intelligence

Data Lake Engineering Services

Mobilunity

MAY 8, 2023

Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise. Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Data Security. Scalability.

Engineering

Engineering Data Storage AWS

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

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. 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. What is a data lake?

Architecture

Architecture Data Storage Machine Learning

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

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. At the core of this commitment, IBM plans to embed Spark into its industry-leading Analytics and Commerce platforms, and to offer Spark as a service on IBM Cloud. IBM has been a decades long leader in open source innovation.

Open Source

Open Source Big Data Machine Learning Artificial Inteligence

The Future Is Hybrid Data, Embrace It

Cloudera

JUNE 7, 2022

Also, Cloudera DataFlow is rated highly in the GigaOm Radar for Streaming Data Platforms. Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform.

Data

Data Architecture Analytics Government

Predictive analytics helps Fresenius anticipate dialysis complications

CIO

OCTOBER 18, 2023

In September 2021, Fresenius set out to use machine learning and cloud computing to develop a model that could predict IDH 15 to 75 minutes in advance, enabling personalized care of patients with proactive intervention at the point of care. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

Artificial Inteligence

Artificial Inteligence Analytics Artificial Intelligence Machine Learning

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

Cloudera Data Warehouse Demonstrates Best-in-Class Cloud-Native Price-Performance

Cloudera

JANUARY 15, 2021

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. As depicted in the chart, Cloudera Data Warehouse ran the benchmark with significantly better price-performance than any of the other competitors tested. Introduction.

Performance

Performance Cloud Data Storage

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

Smart Factories: Artificial Intelligence and Automation for Reduced OPEX in Manufacturing

DataRobot

MARCH 10, 2022

With Snowflake’s newest feature release, Snowpark , developers can now quickly build and scale data-driven pipelines and applications in their programming language of choice, taking full advantage of Snowflake’s highly performant and scalable processing engine that accelerates the traditional data engineering and machine learning life cycles.

Artificial Inteligence

Artificial Inteligence Artificial Intelligence Machine Learning IoT

An A-Z Data Adventure on Cloudera’s Data Platform

Cloudera

DECEMBER 21, 2020

Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Machine Learning Workspace exists . A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. The Data Scientist.

Data

Data Virtualization Banking Data Engineering

Supply Chain Control Tower: Enhancing Visibility and Resilience

Altexsoft

APRIL 13, 2023

The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). It also often includes analytics, reporting, and forecasting capabilities.

Technical Review

Technical Review Software Review Analytics Systems Review

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

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

Big Data Engineer: Role, Responsibilities, and Job Description

Altexsoft

AUGUST 25, 2020

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

Big Data

Big Data Data Engineering Engineering Data

Why You Need ML Ops for Successful Innovation

TIBCO - Connected Intelligence

JULY 29, 2019

While many organizations are investing heavily in data science and machine learning (ML), far fewer have found a way to monetize their initiatives and fully realize the value from the insights uncovered. Best Practices to Operationalize Data Science and Machine Learning.

Innovation

Innovation Artificial Inteligence Machine Learning Guidelines

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

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. And companies that have completed it emphasize gained advantages like accessibility, scalability, cost-effectiveness, etc. . Data and analytics. Internet of Things.

Azure

Azure AWS Cloud How To

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

Machine Learning with Python, Jupyter, KSQL and TensorFlow

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

Webinars

Trending Sources

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

Webinars

Key Data Engineer responsibilities

Dataiku and Snowflake Bring New Capabilities to Data Engineers, Data Scientists, & Developers

Generative AI will be the key to achieving patient-centric care

P&G turns to AI to create digital manufacturing of the future

The 10 most in-demand IT jobs in finance

The 10 most in-demand IT jobs in finance

Hire Big Data Engineer: Salaries, Stack and Roles

Real-time data processing: Databricks vs Flink

5 hot IT budget investments — and 2 going cold

10 most difficult-to-fill IT roles — and how to address the gap

Happy Birthday, CDP Public Cloud

DataOps Uncovered: A Bold New Approach to Telemetry and Network Visibility

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

Using other CDP services with Cloudera Operational Database

From particle physics to video streaming: predicting churn with AI

Applying Fine Grained Security to Apache Spark

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

Forward Thinking Tech Leaders at IO Seeking Big Data Engineer

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

What is DataOps? Collaborative, cross-functional analytics

How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

DevOps in a data science world

Navigating the Data Lake: Insights from Building and Utilizing Data Lakes

Data Lake Engineering Services

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

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

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

The Future Is Hybrid Data, Embrace It

Predictive analytics helps Fresenius anticipate dialysis complications

New live online training courses

Cloudera Data Warehouse Demonstrates Best-in-Class Cloud-Native Price-Performance

219+ live online training courses opened for June and July

Smart Factories: Artificial Intelligence and Automation for Reduced OPEX in Manufacturing

An A-Z Data Adventure on Cloudera’s Data Platform

Supply Chain Control Tower: Enhancing Visibility and Resilience

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

How to Hire Freelance Data Scientist in 2023

Big Data Engineer: Role, Responsibilities, and Job Description

Why You Need ML Ops for Successful Innovation

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

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

Stay Connected