Gorilla Logic

APRIL 27, 2022

Are you a data engineer or seeking to become one? This is the first entry of a series of articles about skills you’ll need in your everyday life as a data engineer. Data cleansing and enrichment processes need to combine, filter, aggregate, and select different sets to answer questions we have.

Data Engineering 59

Data Engineering Engineering Data Windows 59

Cloudera

SEPTEMBER 2, 2021

At Cloudera, we introduced Cloudera Data Engineering (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to meet these challenges. Normally on-premises, one of the key challenges was how to allocate resources within a finite set of resources (i.e., fixed sized clusters).

Data Engineering 85

Data Engineering Performance Engineering Data 85

CIO

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Check out our list of top big data and data analytics certifications.)

Artificial Inteligence 315

Artificial Inteligence Data Machine Learning Azure 315

Hacker Earth Developers Blog

JUNE 26, 2019

Prospective candidates should be good at collecting, analyzing, and making inferences from data. Machine learning : This is the art of classifying or grouping data for prediction. An ideal data scientist should be able to use big data technologies to create pipelines that feed machine learning algorithms.

Data 200

Data How To Recruiting Machine Learning 200

Cloudera

JUNE 10, 2021

Apache Spark is a very popular analytics engine used for large-scale data processing. It is widely used for many big data applications and use cases. We are going to use an Operational Database COD instance and Apache Spark present in the Cloudera Data Engineering experience. . Cloudera Data Engineering.

How To 92

How To Data Engineering Virtualization Resources 92

O'Reilly Media - Data

APRIL 11, 2018

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

Data Engineering 280

Data Engineering Engineering Data Artificial Inteligence 280

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 52

Data Engineering Fintech Engineering Data 52

TechCrunch

FEBRUARY 24, 2021

, and millions and perhaps billions of calls flung at the database server, data science teams can no longer just ask for all the data and start working with it immediately. Big data has led to the rise of data warehouses and data lakes (and apparently data lake houses ), infrastructure to make accessing data more robust and easy.

Data 271

Data Business Intelligence Big Data Data Engineering 271

Hacker Earth Developers Blog

JUNE 26, 2019

Prospective candidates should be good at collecting, analyzing, and making inferences from data. Machine learning : This is the art of classifying or grouping data for prediction. An ideal data scientist should be able to use big data technologies to create pipelines that feed machine learning algorithms.

Data 100

Data How To Recruiting Machine Learning 100

CIO

SEPTEMBER 2, 2022

Data scientists have the alchemy to turn data into insights. There’s a lot of thought going into how to hire and retain them.”. As big data wranglers, they can improve customer experience, drive new products, and find hidden patterns that will affect critical business decisions.

Data 246

Data Machine Learning Artificial Inteligence Training 246

CIO

SEPTEMBER 1, 2022

Data scientists have the alchemy to turn data into insights. There’s a lot of thought going into how to hire and retain them.”. As big data wranglers, they can improve customer experience, drive new products, and find hidden patterns that will affect critical business decisions.

Data 246

Data Machine Learning Artificial Inteligence Training 246

Mobilunity

DECEMBER 21, 2022

Let’s look at a few of the top reasons for hiring data scientists: Data needs analyzing. Data must be read and analyzed carefully. This requires a professional understanding of how to read it and make data-driven findings. Data can enhance products and services.

Data 52

Data How To Machine Learning Artificial Inteligence 52

Erik Bernhardsson

APRIL 1, 2021

But Vishal (the CEO of Better) convinced me to spent a year or two with him, and learn how the sausage is made. How to raise money, how to work with the board, how to run a company, and all that stuff. I've spent most of my career working in data in some shape or form. How to run data jobs.

Data Engineering 151

Data Engineering Engineering Blockchain Software Engineering 151

Altexsoft

JUNE 29, 2021

MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists. Who does what in a data science team. Machine learning engineers are relatively new to data-driven companies.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

The Crazy Programmer

MARCH 14, 2020

The existence of Instagram influencers, YouTubers, remote software QA testers , big data engineers, and so on was unthinkable a decade ago. HTT, on its part, can focus on how to train people on how to make the most out of new tech and how to motivate them finding the opportunities hidden in those new tools.

Artificial Intelligence 208

Artificial Intelligence Artificial Inteligence Survey Technology 208

O'Reilly Media - Ideas

APRIL 9, 2019

A few months ago, I wrote about the differences between data engineers and data scientists. An interesting thing happened: the data scientists started pushing back, arguing that they are, in fact, as skilled as data engineers at data engineering. We hired you to do data science.”. “I

Data Engineering 111

Data Engineering Engineering Data Technical Review 111

CTOvision

JANUARY 28, 2015

Strata + Hadoop World is where big data''s most influential business decision makers, strategists, architects, developers, and analysts gather to shape the future of their businesses and technologies. If you want to tap into the opportunity that big data presents, you want to be there. Data scientists.

Big Data 109

Big Data Case Study Conference Study 109

Mobilunity

MAY 8, 2023

It includes tools for data lineage, metadata management, and access control. When you understand how large the scale of Enterprise Data Lake services are, then one way or another you come to understand the importance of big data consulting. You can get robust security measures in place to protect sensitive data.

Engineering 52

Engineering Data Storage AWS 52

Cloudera

DECEMBER 17, 2021

As a Principal Solutions Engineer, he says his core responsibility is “to take Cloudera’s latest and greatest technology and meet a customer’s complex business requirements, across the data lifecycle, on any cloud or the datacenter.”. As he puts it, “Cloudera puts the customers first”.

Engineering 95

Engineering Telecommunications Culture Machine Learning 95

Capgemini

MARCH 16, 2022

But the question how to start remains. technologies (AI & analytics, cloud and edge computing, cybersecurity, 5G, IoT, and data engineering) are converging at speed. Almost all manufacturers and their supply chains are eager to start this journey, implement concepts, and look for interconnections.

Industry 98

Industry IoT Technical Review Automotive 98

CTOvision

FEBRUARY 23, 2017

This is the place to dive deep into the latest on Big Data, Analytics, Artificial Intelligence, IoT, and the massive cybersecurity issues in all those topics. If you want to tap into the opportunity that big data presents, you want to be there. Find new ways to leverage your data assets across industries and disciplines.

Big Data 61

Big Data Artificial Intelligence Artificial Inteligence Case Study 61

Apiumhub

JUNE 22, 2021

In this event you will gain insight into radical ideas that are already proven to provide ROI in some of the most data-driven and innovative companies in the world as well as learn how to accelerate AI-driven transformation.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

Altexsoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineering 98

Data Engineering Engineering Data Machine Learning 98

Existek

JANUARY 11, 2022

How to select the right cloud service provider? It’ll be interesting to discover how market-leading providers set new standards and alter approaches to cloud computing. At some point, cloud computing has changed how to streamline business processes and deal with data in general. Development Operations Engineer $122 000.

Azure 52

Azure AWS Cloud How To 52

Apiumhub

NOVEMBER 17, 2022

Jesse Anderson – Data Engineer, Creative Engineer, and Managing Director of Big Data Institute. Here are some of the talks that will be presented at the event: Doubling Engineering Productivity at eBay Using DevOps – Randy Shoup. Engineering Documentation – Lorna Jane Mitchell.

Technical Review 79

Technical Review Software Review Fractional CTO CTO Coach 79

Cloudera

MAY 27, 2021

No matter how good the intentions behind the development of a technology, someone is bound to corrupt and manipulate it. Big data and AI amplify the problem. “If Big data algorithms are smart, but not smart enough to solve inherently human problems. If y ou have good intentions, you can make it very good.

Artificial Inteligence 119

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 119

Cloudera

JULY 14, 2023

Introduction For more than a decade now, the Hive table format has been a ubiquitous presence in the big data ecosystem, managing petabytes of data with remarkable efficiency and scale. The underlying data file locations will not change. Please see the linked documentation to see how to take advantage of this feature.

Backup 70

Backup Data Engineering Engineering Data 70

Apiumhub

APRIL 1, 2021

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data by by EMC Education Services. The whole data analytics lifecycle is explained in detail along with case study and appealing visuals so that you can see the practical working of the entire system.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

Erik Bernhardsson

OCTOBER 27, 2015

I was featured in Peadar Coyle’s interview series interviewing various “data scientists” – which is kind of arguable since (a) all the other ppl in that series are much cooler than me (b) I’m not really a data scientist. What do you wish you knew earlier about being a data scientist? You don’t have big data”.

Data 100

Data Big Data Machine Learning Artificial Inteligence 100

Erik Bernhardsson

OCTOBER 27, 2015

I was featured in Peadar Coyle’s interview series interviewing various “data scientists” – which is kind of arguable since (a) all the other ppl in that series are much cooler than me (b) I’m not really a data scientist. What do you wish you knew earlier about being a data scientist? You don’t have big data”.

Data 100

Data Big Data Machine Learning Artificial Inteligence 100

ParkMyCloud

DECEMBER 11, 2020

Coursera includes a number of free courses including topics in Machine Learning, Architecting, Data Engineering, Developing Applications, and the list goes on. . Cloud Certification Guide: How to Master & Showcase Your Expertise in AWS, Azure, & Google Cloud. 9 Free Azure Training Resources.

Google Cloud 97

Google Cloud Training Resources Cloud 97

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Cloudera

JANUARY 20, 2021

to make a classification model based off of training data stored in both Cloudera’s Operational Database (powered by Apache HBase) and Apache HDFS. For more context, this demo is based on concepts discussed in this blog post How to deploy ML models to production. How to Run This Demo Application. Serving The Model .

Machine Learning 115

Machine Learning Artificial Inteligence Applications Data 115

Altexsoft

JUNE 25, 2019

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. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Apps Associates

JULY 28, 2022

This blog introduces you to Oracle Cloud Infrastructure (OCI) Data Integration service and reviews how to setup Data Integration workspace in OCI. I love Data Integration in OCI and hope to get you excited about this great product as well. Use Case 1: Data integration for big data, data lakes, and data science.

Infrastructure 52

Infrastructure Cloud Data Linux 52

OpenCredo

JANUARY 26, 2023

Polishing up on that may well save time when you’re doing a big ingest! The data engineer and software engineer within me disagree about this! The data engineer wants to keep everything, just in case it’s handy. The software engineer says “You Ain’t Gonna Need It”, so don’t import it.

Big Data 52

Big Data Data Software Engineering Data Engineering 52