Mobilunity

AUGUST 3, 2021

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 requires a unique engineering approach. Big Data Engineer vs Data Scientist.

Big Data 52

Big Data Data Engineering Engineering Data 52

Cloudera

JANUARY 12, 2018

I mentioned in an earlier blog titled, “Staffing your big data team, ” that data engineers are critical to a successful data journey. That said, most companies that are early in their journey lack a dedicated engineering group. Image 1: Data Engineering Skillsets.

Data Engineering 54

Data Engineering Big Data Engineering Data 54

Cloudera

OCTOBER 26, 2023

This isn’t just speculation: research shows that companies who use data to drive decision making increase revenues by an average of more than 8%, are 23 times more likely to attract new customers, and are 19 times more likely to be profitable as a result. What can a data-driven culture help organizations accomplish? Here’s how.

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Culture Data Company Analytics 76

Xebia

NOVEMBER 11, 2022

This blog explores the various sessions throughout those 3 days but specifically focuses on the Cloud Data Platform workshop on Friday the 28th. . GoDataFest features a multitude of sessions focused on various data technologies and platforms. What is the Google Cloud Data Platform Workshop? What is GoDataFest?

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Google Cloud Cloud Data Data Engineering 130

CIO

SEPTEMBER 29, 2023

Analyzing the hiring behaviors of companies on its platform, freelance work marketplace Upwork has AI to be the fastest growing category for 2023, noting that posts for generative AI jobs increased more than 1000% in Q2 2023 compared to the end of 2022, and that related searches for AI saw a more than 1500% increase during the same time.

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Generative AI ChatGPT Machine Learning Artificial Inteligence 357

TechCrunch

AUGUST 4, 2022

The founders of Rill first got into databases a decade ago when they started a company called Metamarkets, which was eventually snapped up by Snap in 2017. While at Metamarkets, the company built a database, based on the open source Apache Druid project. Image Credits: Rill. There are lots of ways we want to think about diversity.

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Open Source Metrics Business Intelligence Enterprise 246

Cloudera

MARCH 6, 2024

Together with Heeje Cho , senior data engineer at Illumina, and Gregory Floyd , IT principal enterprise architect at Southern Company, the session will cover a mix of stories and lessons learned from some of the most seasoned AI leaders at global enterprises.

Analytics 107

Analytics Artificial Inteligence Data Generative AI 107

Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. From its origins in the 1950’s to today, the age of big data. Sean ascertains that larger data sets and increased access to compute power is propelling the adoption of machine learning. Simplifying Big Data in the Cloud.

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Artificial Inteligence Machine Learning Big Data IoT 45

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines.

Machine Learning 98

Machine Learning Artificial Inteligence Data Data Engineering 98

DevOps.com

JANUARY 27, 2023

Data streams are all the rage. Once a niche element of data engineering, streaming data is the new normal—more than 80% of Fortune 100 companies have adopted Apache Kafka, the most common streaming platform, and every major cloud provider (AWS, Google Cloud Platform and Microsoft Azure) has launched its own streaming service.

Data 127

Data Google Cloud Azure AWS 127

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.

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Data Technical Review Data Engineering Analysis 116

Altexsoft

FEBRUARY 11, 2023

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Hiring a well-skilled data architect can be very helpful for that purpose. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

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Data Data Engineering Big Data Architecture 87

CIO

FEBRUARY 14, 2023

Here are some examples: Fraud It’s critical to identify bad actors using high-quality AI models and data Product recommendations It’s important to stay competitive in today’s ever-expanding online ecosystem with excellent product recommendations and aggressive, responsive pricing against competitors.

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Artificial Inteligence Strategy Data Machine Learning 282

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.

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Artificial Inteligence Cloud Generative AI Analytics 104

N2Growth Blog

JANUARY 10, 2017

Artificial Intelligence (AI) is at a tipping point, leading a watershed shift to digital intelligence by discovering previously unseen patterns, drawing new inferences, and identifying new relationships from vast amounts of data. Companies of scale need to gear up these new jobs and transform their organizations for this future.

Company 86

Company Artificial Inteligence Big Data Machine Learning 86

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. He explained how modern applications and data types require companies to adopt new data platforms, thus creating an environment that is more conducive to DBA-led innovation.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Cloudera

SEPTEMBER 13, 2023

An opportunity to pursue an exciting new project at a major fortune 500 company came up and I decided to give it a try. Yes, the days of Hadoop are gone, but we did the impossible and built an even better data platform while still empowering open-source and the different teams. There is no other company quite like this.

Innovation 84

Innovation Open Source Technology Data Engineering 84

CIO

DECEMBER 6, 2023

But a company spokesperson did say: “We’re in a world where our AI has become incredibly powerful, and it can do amazing things. This kind of inane gibberish will probably become disturbingly common, and it’s incumbent on companies to be vigilant with reputations at stake. But that’s not the only problem you might run into.

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Generative AI Artificial Inteligence Technical Review Weak Development Team 331

Hacker Earth Developers Blog

AUGUST 16, 2022

For example, TikTok is a Chinese-based company in a society that is monoethnic, and consequently, they don’t have to live in a polyethnic society like America, and the platform too, isn’t built to accommodate the nuances of a polyethnic American society. Every mainstream social media platform has discrimination built into it.

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Technical Review Recruiting Systems Review Education 246

TechCrunch

OCTOBER 7, 2021

DuVander was recommended to us by Karl Hughes, the CEO of Draft.dev, which specializes in content production for developer-focused companies. A company has a new API, but they haven’t bothered to explain why developers should care. If your customers are data engineers, it probably won’t make sense to discuss front-end web technologies.

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Weak Development Team Software Development Marketing Technical Advisors 231

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. 2 In general, the flow of data from machine to the data engineer (1) is well operationalized. What is this thing called MLOps ? Try to change the code (e.g.

Applications 130

Applications Technical Review Software Review Azure 130

Cloudera

OCTOBER 19, 2023

Telecommunications companies are currently executing on ambitious digital transformation, network transformation, and AI-driven automation efforts. A hybrid data platform breaks down this barrier, integrating ML- and AI-based tools that make it easier to manage, integrate, and analyze data, as well as monitor governance and compliance.

Data 75

Data Compliance Architecture Data Engineering 75

Cloudera

FEBRUARY 12, 2024

In this blog, we’ll take you through our tried and tested best practices for setting up your DNS for use with Cloudera on Azure. Customers can request this entitlement to be set either through a JIRA ticket or have their Cloudera solution engineer to make the request on their behalf.

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Azure Firewall Data Engineering Storage 52

Cloudera

NOVEMBER 19, 2021

This is why companies spend so much time and energy figuring out how to address this so-called “last mile” problem. Continuous Operations for Production Machine Learning (COPML) helps companies think about the entire life cycle of an ML model. An enterprise machine learning workflow from data engineers to business users.

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Machine Learning Artificial Inteligence eBook Sustainability 121

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.

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Architecture Innovation Data Open Source 100

Datavail

MARCH 10, 2022

In other words, 80 percent of companies’ Big Data projects will fail and/or not deliver results. There are many reasons for this failure, but poor (or a complete lack of) data governance strategies is most often to blame. Steps to an Effective Data Governance Implementation Plan.

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Government Strategy Weak Development Team Company 40

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). But the current data lakehouse architectural pattern is not enough.

Data 86

Data Analytics Machine Learning Artificial Inteligence 86

Cloudera

OCTOBER 13, 2021

For relatively low amounts of data, public cloud is a possible path for some organizations. For others, petabyte scale, need for control and efficiency, market regulation and data location prevents them from following suit. These companies have instead opted to leverage their existing data centre investment.

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Data Center Cloud Data How To 96

Cloudera

FEBRUARY 15, 2024

The opportunities are great, but so are the challenges To make that future a reality, regulatory challenges confronting banks and insurance companies demand a constant reassessment of compliance strategies and operational frameworks. The post Back to the Financial Regulatory Future appeared first on Cloudera Blog. Well, sort of.

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Insurance Compliance Technical Review Banking 86

Hacker Earth Developers Blog

NOVEMBER 29, 2022

Isabella is a recruiter at a multinational company with 1000+ employees. Her responsibility is to recruit the top talent—which she performs well by consistently looking for candidates that fit the company culture, collecting their information, reaching out to them, screening them, and finally interviewing them. Hiring remote workers.

Technical Review 130

Technical Review Software Review Artificial Intelligence Artificial Inteligence 130

Cloudera

DECEMBER 20, 2023

Founding AI ecosystem partners | NVIDIA, AWS, Pinecone NVIDIA | Specialized Hardware Highlights: Currently, NVIDIA GPUs are already available in Cloudera Data Platform (CDP), allowing Cloudera customers to get eight times the performance on data engineering workloads at less than 50 percent incremental cost relative to modern CPU-only alternatives.

Artificial Inteligence 71

Artificial Inteligence Artificial Intelligence Enterprise Machine Learning 71

Perficient

FEBRUARY 28, 2023

This is the final blog in a series that explains how organizations can prevent their Data Lake from becoming a Data Swamp, with insights and strategy from Perficient’s Senior Data Strategist and Solutions Architect, Dr. Chuck Brooks. Once data is in the Data Lake, the data can be made available to anyone.

Data 110

Data Analytics Google Cloud Cloud 110

DevOps.com

FEBRUARY 17, 2021

Databricks launches on Google Cloud with integrations to Google BigQuery and AI Platform that unify data engineering, data science, machine learning, and analytics across both companies’ services Sunnyvale and San Francisco, Calif.,

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Google Cloud Cloud Machine Learning Artificial Inteligence 97

Altexsoft

JANUARY 26, 2022

In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. What is an analytics engineer?

Analytics 59

Analytics Engineering Data Engineering Software Engineering 59

Cloudera

NOVEMBER 17, 2021

You know the one, the mathematician / statistician / computer scientist / data engineer / industry expert. Some companies are starting to segregate the responsibilities of the unicorn data scientist into multiple roles (data engineer, ML engineer, ML architect, visualization developer, etc.),

Machine Learning 123

Machine Learning Artificial Inteligence Hotels Data Engineering 123

Cloudera

DECEMBER 17, 2021

One of his favorite projects was with one of the largest telecommunication companies in the world. He explained that they were working to stream several terabytes of data from hundreds of data sources each day and running real time analytics to detect fraud. . We’re a growing company seeking those with a growth mindset.

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Engineering Telecommunications Culture Machine Learning 93

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . The Data Scientist.

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Data Virtualization Banking Data Engineering 97