CTOvision

FEBRUARY 20, 2015

Hortonworks'' Hadoop Data Platform (HDP) is now a supported feature on Google Cloud. This new feature will allow dynamic provisioning of HDP clusters on the Google Cloud Platform, providing scalability for enterprise-wide solutions employing HDP, as well as providing a means for rapidly setting up prototyping and development environments.

Google Cloud 108

Google Cloud Cloud Big Data Azure 108

Kaseya

MAY 13, 2021

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. What Is a Public Cloud?

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Kentik

FEBRUARY 4, 2021

In the previous two blogs, I talked about the need to gather telemetry data from all of the devices and observation points in your network, and across the different types of telemetry available. Doing this at network scale has been a hard problem for decades, and requires a flexible, scalable, and high-performance data platform.

Network 80

Network Data Storage Analytics 80

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

Perficient

FEBRUARY 28, 2023

In blog 2 of our data lakehouse blog series , we discussed how Perficient’s Healthy Lakehouse solution accelerates time and cost to value, and can help crack the code to success in delivering solutions. Next, we’d like to share some real-life examples of projects and solutions we’ve executed with our clients.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

CTOvision

OCTOBER 27, 2014

Big Data Product Watch 10/17/14: Big Three Make Big Moves. — dominated Big Data news this week, while the third, MapR Technologies Inc., DataDirect Networks combines IBM GPFS, Storage Fusion for HPC. Cloudera CTO on Big Data analytics and security risks. and Hortonworks Inc.

Technical Review 103

Technical Review Technology Big Data Firewall 103

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

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Ingestion zone is where data is collected from various sources and ingested into the data lake. Storage zone is where the raw data is stored in its original format.

Engineering 52

Engineering Data Storage AWS 52

Cloudera

SEPTEMBER 9, 2021

The cloud-native consumption model delivers lower cloud infrastructure TCO versus both on-premises and IaaS deployments of Apache HBase by employing a) elastic compute resources b) cloud-native design patterns for high-availability and c) cost efficient object storage as the primary storage layer. Elastic Compute.

Storage 94

Storage Azure Technical Review Database Administration 94

Datavail

SEPTEMBER 17, 2019

Mongo CTO and Co-Founder Eli Horowitz published a blog in June 2016 officially announcing the Atlas service as the “simplest, most robust” way to use Mongo in the cloud at deployments of many different sizes. S&P Global Market Intelligence data indicates the company experienced 182.1 percent growth in shares in 2018.

Cloud 40

Cloud Azure Big Data Storage 40

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. Through PySpark, data can be accessed from multiple sources.

Machine Learning 113

Machine Learning Artificial Inteligence Applications Data 113

Hu's Place - HitachiVantara

JUNE 20, 2018

In my last blog post I commented on Hitachi Vantara’s selection as one of the “ Coolest Business Analytics vendors” by CRN, Computer Reseller News, and expanded on Hitachi Vantara’s business analytics capabilities. In this post I will be expanding on how we address the rest of the big data pyramid.

Big Data 49

Big Data Business Analytics Data Center Analytics 49

Cloudera

OCTOBER 28, 2021

The German underwriters analyzed historical data such as weather, location, breed, type of crop, and a farmer’s experience to assess risk, underwrite and set price exposures. In this way, the Commercial Lines segment of insurance has really been a user of big data since its inception.

Insurance 96

Insurance Data Analytics Industry 96

Datavail

APRIL 6, 2021

Oracle Data Cloud. Using SaaS is best in the following situations: Your software needs to prioritize scalability and accessibility from anywhere at any time. compute, network, storage, etc.) Oracle HCM Cloud. Oracle Analytics Cloud. Oracle SCM and Manufacturing Cloud. Oracle IaaS (Infrastructure as a Service).

Cloud 97

Cloud Disaster Recovery Artificial Intelligence Artificial Inteligence 97

Netflix Tech

MAY 4, 2023

This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal. The first phase involves validating functional correctness, scalability, and performance concerns and ensuring the new systems’ resilience before the migration.

Comparison 135

Comparison Testing Metrics Analysis 135

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

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

Xicom

MARCH 14, 2023

Table Of Contents 1) Machine Learning in Mobile Apps 2) Predictive Analysis 3) Virtual Personal Assistants 4) Improved User Experience 5) Augmented Reality 6) Blockchain Technology 7) Facial Recognition 8) Internet of Things 9) Cloud Computing 10) Cybersecurity 11) Marketing and Advertisements 12) Big Data Q1: What is Artificial Intelligence?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Mobile Development 52

Cloudera

AUGUST 26, 2021

Apache Ozone is a scalable distributed object store that can efficiently manage billions of small and large files. The object store is readily available alongside HDFS in CDP (Cloudera Data Platform) Private Cloud Base 7.1.3+. Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange.

Cloud 111

Cloud Data Machine Learning Artificial Inteligence 111

Cloudera

AUGUST 2, 2018

Cloudera Data Warehouse delivers an enterprise-grade, hybrid cloud solution built for powerful, scalable, and affordable self-service analytics. It covers the whole lifecycle of a data warehouse spanning ingestion, storage, curation, querying, health checks, and more. Hybrid storage. Hybrid compute.

Data 51

Data Storage Analytics Insurance 51

Altexsoft

FEBRUARY 11, 2020

With the rise of big data, organizations are collecting and storing more data than ever before. This data can provide valuable insights into customer needs and assist in creating innovative products. Unfortunately, this also makes data valuable to hackers, seeking to infiltrate systems and exfiltrate information.

Tools 109

Tools Linux Analysis Open Source 109

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. Blog Post, Nov-2016. Strata Data London.

Artificial Inteligence 42

Artificial Inteligence Machine Learning Analytics Big Data 42

Infinidat

SEPTEMBER 18, 2018

Will we see the world moving to the ‘all-flash data center’ that some vendors have been saying is the only storage solution moving forward? To do that, let’s add a few more dimensions into the discussion: The Movement to a Data-Centric Architecture. containers) with big data lakes behind them.

WAN 74

WAN Storage Firewall Data Center 74

Cloudera

SEPTEMBER 2, 2021

The shift to cloud has been accelerating, and with it, a push to modernize data pipelines that fuel key applications. That is why cloud native solutions which take advantage of the capabilities such as disaggregated storage & compute, elasticity, and containerization are more paramount than ever.

Data Engineering 83

Data Engineering Performance Engineering Data 83

Datavail

JULY 7, 2022

Agility and scalability. Traditional on-premises analytics infrastructure is limited in terms of the agility and scalability that you can achieve. With finite hardware restrictions on computational power and storage, companies often struggle to adapt when facing unprecedented demand for analytics workloads. High data volumes.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

CTOvision

JUNE 3, 2014

PALO ALTO, Calif. – June 3, 2014 – Cloudera , a leader in enterprise analytic data management powered by Apache Hadoop™ , today announced that it has acquired Gazzang , the big data security experts, to dramatically strengthen its security offerings, building on the roadmap laid out last year when Cloudera first delivered Sentry.

Big Data 108

Big Data Open Source Weak Development Team Compliance 108

Xicom

JANUARY 4, 2023

In this blog post, we will explore the top 10 Android app development trends that are likely to dominate in 2023. In the near future, cloud computing will become an even more integral part of the IoT experience, allowing for greater scalability and faster development. 10) Big Data. Top 10 Android app development trends.

Trends 59

Trends Artificial Inteligence Development Artificial Intelligence 59

Kentik

JULY 11, 2016

Data Centers Need Big Data Network Analytics, But as SaaS. The announcement is significant for Cisco in part because it creates expectations of data center functionality to which competitors such as HP and Dell/EMC will likely have to respond. In a recent post I discussed some of the factors driving that need.

Data Center 40

Data Center Big Data Hardware Analytics 40

Linux Academy

APRIL 9, 2019

AWS Certified Big Data. This certification exam focuses on testing technical expertise around: Designing and deploying scalable, highly available, and fault tolerant systems on the AWS platform. Design and deploy enterprise-wide scalable operations on AWS. Implement and control the flow of data to and from AWS.

AWS 60

AWS DevOps Architecture Scalability 60

Mobilunity

MAY 20, 2021

For example, everyone has cloud storage available on their smartphones or connected to their Google account. The main benefits are scalability and efficiency – it can support billions of various devices simultaneously. Developers can choose from 175 services available for everything, from data storage to blockchain.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Cloudera

SEPTEMBER 15, 2022

Apache Ozone is a distributed, scalable, and high-performance object store , available with Cloudera Data Platform (CDP), that can scale to billions of objects of varying sizes. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. Diversity of workloads.

Storage 87

Storage System Artificial Inteligence Big Data 87

Cloudera

SEPTEMBER 11, 2018

IoT is expected to generate a volume and variety of data greatly exceeding what is being experienced today, requiring modernization of information infrastructure to realize value. This is especially important for data scientists and machine learning applications, where subtle trends may only emerge over long periods of time.

IoT 40

IoT Machine Learning Artificial Inteligence Data 40

Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.

Big Data 44

Big Data Scalability Data Analytics 44

Netflix Tech

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 81

Storage Data Resources Data Engineering 81

Hu's Place - HitachiVantara

OCTOBER 9, 2018

These Innovations include: DS7000 Scalable Servers , NVIDIA Tesla GPUs , All NVMe , and 3D XPoint storage memory. DS7000 Scalable Servers Hitachi Advanced Server DS7000 Series of Scalable Servers are built with a unique modular architecture which can be configured and scaled to meet the needs of a wide variety of application workloads.

3D 61

3D Scalability Storage Technology 61

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

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. DBFS provides a unified interface to access data stored in various underlying storage systems.

System 52

System Storage Azure Big Data 52