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

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Forbes believes it is an imperative for CIOs to view cloud computing as a critical element of their competitiveness. Cloud-based spending will reach 60% of all IT infrastructure and 60-70% of all software, services, and technology spending by 2020.

Cloud 78

Cloud Google Cloud Azure AWS 78

Cloudera

JUNE 7, 2022

Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. In fact, the total amount of data is expected to nearly triple by 2025. Only a fraction of data created is actually stored and managed, with analysts estimating it to be between 4 – 6 ZB in 2020.

Data 107

Data Architecture Analytics Government 107

Cloudera

JULY 27, 2021

While billing used to be one of two critical things for any successful telco (the other being the network), today’s digital service providers prioritise channels, ecosystems, payments and cloud service architectures in enterprise architecture. When it comes to Data and AI, the industry is increasingly committed to a hybrid cloud approach.

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 88

How To Data Engineering Virtualization Resources 88

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 91

Engineering Telecommunications Culture Machine Learning 91

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 73

Systems Review Metrics Trends Performance 73

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 117

Open Source Big Data Machine Learning Artificial Inteligence 117

Cloudera

NOVEMBER 6, 2017

A noteworthy point is that Cloudera complements popular cloud services, such as Amazon Web Services (AWS) and Microsoft Azure. The same enterprise capabilities delivered on premises are optimized for cloud environments, taking advantage of the elasticity and delivering the self-service desired.

Cloud 40

Cloud Azure Analytics AWS 40

Mobilunity

MAY 8, 2023

Here collected data from databases, logs, IoT devices, social media, and other sources. Storage zone is where the raw data is stored in its original format. The storage zone may use a distributed file system such as Hadoop Distributed File System (HDFS) or cloud-based storage. Cost Savings. Scalability.

Engineering 52

Engineering Data Storage AWS 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

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

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 18, 2022

Apache Iceberg was built from inception with the goal to be easily interoperable across multiple analytic engines and at a cloud-native scale. Netflix, where this innovation was born, is perhaps the best example of a 100 PB scale S3 data lake that needed to be built into a data warehouse.

Data 89

Data Analytics Open Source Architecture 89

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

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Data 104

Data Artificial Inteligence Analytics Machine Learning 104

Cloudera

AUGUST 31, 2021

The key questions that need to be answered are: Do you have workloads you wish would run faster, but you just can’t make it happen without an expensive solution from your existing data warehouse? Are you looking for your data warehouse to support the hybrid multi-cloud? Copyright © 2021 Accenture. All rights reserved.

Data 81

Data Analytics Cloud Technical Review 81

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

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

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. 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.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

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

AWS Machine Learning - AI

JANUARY 26, 2024

Build generative AI applications on secure cloud foundations At AWS, security is our top priority. AWS is architected to be the most secure global cloud infrastructure on which to build, migrate, and manage applications and workloads.

Artificial Inteligence 117

Artificial Inteligence Generative AI Security Applications 117

The Citus Data

MARCH 31, 2023

A developer friend of mine prefers to read about what to expect at upcoming events in the narrative form of a blog, rather than having to click in and out of different abstracts on a schedule page. And yes, Citus Con is virtual again this year! (on-demand And the speakers cover a broad range of interesting topics. Lots to learn from here!

Azure 85

Azure Open Source Virtualization Software Engineering 85

ParkMyCloud

JULY 30, 2019

To do this, Databricks offers a range of tools for building, managing and monitoring data pipelines. It enables the building of machine learning (ML) models, which have grown in parallel with the growth in big data within the enterprise. . DBU for their Standard product on the Data Engineering Light tier to $0.55

Azure 40

Azure AWS Analytics Machine Learning 40

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

MAY 10, 2018

Click to tweet : Nominations are now open for the sixth annual Cloudera Data Impact Awards! With advancements in exploratory data science, machine learning, predictive analytics, AI, and data engineering, the world is increasingly driven by data. Modern data warehousing. Cloud success. Special Impact.

Data 41

Data Machine Learning Artificial Inteligence Data Engineering 41

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

Cloudera

MAY 22, 2018

With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. In addition to cloud options, customers can now deploy on premises with Oracle Linux 7.4 (for for the Oracle Big Data Appliance).

Data 41

Data Load Balancer Machine Learning Artificial Inteligence 41

Mobilunity

DECEMBER 21, 2022

Data scientists specialize in a variety of tasks that can benefit businesses in different ways. Some of the most noteworthy services they offer include: Data Science and Big Data Consulting. Big data engineer experts review existing data architecture, explore data sources, and analyze data lakes.

Data 52

Data How To Machine Learning Artificial Inteligence 52

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 78

Big Data Analytics Tools Applications 78

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. You get 10GB of cloud storage and can upload 1GB of data at a time. Multiple studies continuously demonstrate the superiority of analytics-based organizations (e.g.,

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Kentik

DECEMBER 5, 2016

In an exciting development for Kentik, we’ve recently been recognized by IDC as a cloud monitoring innovator. The ability of Kentik Detect to offer cloud-friendly network performance monitoring — Kentik NPM — was key to the recognition we earned. How does it work? Precise, continuous NPM.

Network 40

Network Performance Metrics Software Review 40

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 52

Database Administration Data Artificial Inteligence Analytics 52

Perficient

FEBRUARY 16, 2024

In the world of big data processing, efficient and scalable file systems play a crucial role. In this blog post, we’ll explore into what DBFS is, how it works, and provide examples to illustrate its usage. What is DBFS? What is DBFS? References: Official Spark Documentation: Spark SQL and DataFrames – Spark 2.3.0

System 52

System Storage Azure Big Data 52

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. Key Design Goals

Data 104

Data Analytics Disaster Recovery Travel 104

Cloudera

AUGUST 24, 2020

In the last blog with Deloitte’s Marc Beierschoder, we talked about what the hybrid cloud is, why it can benefit a business and what the key blockers often are in implementation. When building your data foundation, how can you prioritize innovation within a hybrid cloud strategy? You can read it here. .

Cloud 76

Cloud Data Government Innovation 76