Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87

Data Data Engineering Big Data Architecture 87

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. Machine Learning in the Age of Big Data. From its origins in the 1950’s to today, the age of big data. This informative blog outlines how GDPR affects the practice of data science.

Artificial Inteligence 45

Artificial Inteligence Machine Learning Big Data IoT 45

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

CIO

FEBRUARY 14, 2023

A 2023 New Vantage Partners/Wavestone executive survey highlights how being data-driven is not getting any easier as many blue-chip companies still struggle to maximize ROI from their plunge into data and analytics and embrace a real data-driven culture: 19.3% report they have established a data culture 26.5%

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

Kentik

JULY 18, 2016

Seeing Beneath the Surface with Post-Hadoop Big Data. At Kentik, we believe deeply in the power of post-Hadoop Big Data to address those limitations, making rich data readily accessible not only to engineering and operations, but also to wider areas of the organization. Dig deep without a backhoe.

Big Data 40

Big Data Network Analytics Data 40

Cloudera

JULY 27, 2021

When it comes to Data and AI, the industry is increasingly committed to a hybrid cloud approach. Speaking to Aaron Boasman-Patel, Vice President, AI & Customer Experience at the TM Forum, he says the industry is all-in on Big Data. Big Data has long been a growth area in telecom,’ he told me.

Telecommunications 60

Telecommunications Data Architecture Big Data 60

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. In this blog post, let us look at how you can read and write data to COD from Apache Spark. Cloudera Data Engineering. Prerequisites .

How To 87

How To Data Engineering Virtualization Resources 87

Cloudera

OCTOBER 5, 2020

Cloudera Data Platform Powered by NVIDIA RAPIDS Software Aims to Dramatically Increase Performance of the Data Lifecycle Across Public and Private Clouds. This exciting initiative is built on our shared vision to make data-driven decision-making a reality for every business. Compared to previous CPU-based architectures, CDP 7.1

Enterprise 87

Enterprise Cloud Data Machine Learning 87

Cloudera

JULY 18, 2023

In the realm of big data analytics, Hive has been a trusted companion for summarizing, querying, and analyzing huge and disparate datasets. But let’s face it, navigating the world of any SQL engine is a daunting task, and Hive is no exception. Who are my power users, and which are my famous pools?

Systems Review 72

Systems Review Metrics Trends Performance 72

Cloudera

MARCH 10, 2022

Adriana Lika, Director, Big Data and BI at Telefonica Vivo faced many rounds of naysayers in order to get where she is today. For Jinsoo Jang, NW Big Data Engineering Team Leader at LG Uplus, it is about breaking a historical cycle. I won the competition and took the IT Director position.”. Changing the mindset.

Data 113

Data Weak Development Team Big Data Energy 113

DevOps.com

MARCH 19, 2021

Core DataOps concepts are making their way into data engineering teams and, from there, into the broader enterprise. Data engineers are retooling how they create data products, and much of this work revolves around creating data pipelines.

Open Source 125

Open Source Data Engineering Engineering Enterprise 125

ParkMyCloud

DECEMBER 11, 2020

With the combined knowledge from our previous blog posts on free training resources for AWS and Azure , you’ll be well on your way to expanding your cloud expertise and finding your own niche. Blogs & Forums. Blogs are a great way to keep your mind flowing with new insights, ideas, and the latest on all things cloud computing.

Google Cloud 97

Google Cloud Training Resources Cloud 97

Cloudera

DECEMBER 17, 2021

It’s this People First culture that Manoj feels sets us apart from other big data companies. . Our work is done across a hybrid multi cloud environment and across various types of analytics including Data in Motion, Data Engineering, Data Warehousing, Machine Learning and more.

Engineering 91

Engineering Telecommunications Culture Machine Learning 91

Altexsoft

MARCH 16, 2021

In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. Definitely, the topic is way too extensive to be covered in a blog post, so we’re only going to make a succinct overview. Big Data infrastructure in healthcare.

Big Data 116

Big Data Healthcare Applications Data 116

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. We believe that data can make what is impossible today, possible tomorrow.

Data 106

Data Architecture Analytics Government 106

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. Related articles.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

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. Depending on the size and usage patterns of the data, several different strategies could be pursued to achieve a successful migration.

Backup 69

Backup Data Engineering Engineering Data 69

Cloudera

MAY 27, 2021

This blog post was written by Pedro Pereira as a guest author for Cloudera. . Big data and AI amplify the problem. “If Big data algorithms are smart, but not smart enough to solve inherently human problems. Right now, someone somewhere is writing the next fake news story or editing a deepfake video.

Artificial Inteligence 114

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 114

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

REAN Cloud is a global cloud systems integrator, managed services provider and solutions developer of cloud-native applications across big data, machine learning and emerging internet of things (IoT) spaces.

Cloud 78

Cloud Google Cloud Azure AWS 78

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. As a result, service providers may charge less for their services.

Engineering 52

Engineering Data Storage AWS 52

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

Cloudera

SEPTEMBER 10, 2021

Now, the agency is turning a corner on putting its mass quantities of data to work, collaborating with enterprise data engineers in industry to utilize those data troves to better protect taxpayers. Pairing High-Tech Keys to Unlock the Power of Data.

Artificial Inteligence 66

Artificial Inteligence Machine Learning Artificial Intelligence Engineering 66

Netflix Tech

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. Right Sizing is in progress and will be covered with more details in a dedicated technical blog post later. Stay tuned.

Machine Learning 84

Machine Learning Artificial Inteligence Data Systems Review 84

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. Make sure you read Part 1 and Part 2 before reading this installment.

Machine Learning 111

Machine Learning Artificial Inteligence Applications Data 111

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 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

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. I don’t consider myself a data scientist so not sure :). You don’t have big data”.

Data 100

Data Big Data Machine Learning Artificial Inteligence 100

Cloudera

JUNE 18, 2022

In early 2022, we enabled a Technical Preview of Apache Iceberg in Cloudera Data Platform allowing Cloudera customers to realize the value of Iceberg’s schema evolution and time travel capabilities in our Data Warehousing, Data Engineering and Machine Learning services.

Data 89

Data Analytics Open Source Architecture 89

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. I don’t consider myself a data scientist so not sure :). You don’t have big data”.

Data 100

Data Big Data Machine Learning Artificial Inteligence 100

TIBCO - Connected Intelligence

SEPTEMBER 7, 2021

Data virtualization solutions are great if your company struggles with data in silos spread across traditional data warehouses, enterprise applications, big data lakes, operational data stores, the cloud, and more.

Virtualization 32

Virtualization Data Insurance Software Review 32

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

TIBCO - Connected Intelligence

SEPTEMBER 14, 2020

It enables organizations to more easily and successfully explore their data for insights, provide data as a service, report in real-time, and monitor digital operations. Data virtualization is rising to meet this challenge. And check back for more blogs in the series.

Virtualization 49

Virtualization Data Analytics Innovation 49

OpenCredo

JANUARY 26, 2023

This is a critical, but usually forgotten step, it helps us to think about the big picture and focus on what we need. This blog post is divided into three smaller posts, the first post will cover the model and extraction phases of our approach and the second and third posts will cover transformation and loading respectively.

Big Data 52

Big Data Data Software Engineering Data Engineering 52

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.

DevOps 130

DevOps Data Analytics Policies 130

Coforge

AUGUST 31, 2020

* field--node--title--blog-post.html.twig x field--node--title.html.twig * field--node--blog-post.html.twig * field--title.html.twig * field--string.html.twig * field.html.twig --> The Coforge Viewpoint: How Intelligent Digital Technologies will reshape Insurance Operations. Grow — Navigating a Successful Path for Digitization.

Insurance 40

Insurance Technology Artificial Inteligence Policies 40

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 103

Data Artificial Inteligence Analytics Machine Learning 103

Hu's Place - HitachiVantara

JANUARY 3, 2019

In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

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