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

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. And the longer it takes to put a team in place, the likelier it is that your big data project will stall. That architecture exists to store, serve, and process data.

Data Engineering 53

Data Engineering Big Data Engineering Data 53

Altexsoft

FEBRUARY 11, 2023

To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. Sample of a high-level data architecture blueprint for Azure BI programs.

Data 87

Data Data Engineering Big Data Architecture 87

Cloudera

FEBRUARY 7, 2019

With the right technology now in place, ATB Financial is landing and curating more data than ever to bring data-driven insights to the business and its customers. Implementing a Modern Data Architecture. ATB Financial is also the first to use SAS Viya to interface between SAS tools and HDP. Check out our customer stories.

Big Data 64

Big Data Analytics Google Cloud Cloud 64

Falcon Chronicles

OCTOBER 24, 2018

It has essentially allowed businesses and institutions of all types to gain access to on-demand computing, storage and more. It also made collaboration more seamless as it provided the opportunity for shared data sources and easier sharing of results. The post Genomics Big Data Security: Cloud Today, Blockchain Tomorrow?

Blockchain 40

Blockchain Big Data Cloud Data 40

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. Big Data has long been a growth area in telecom,’ he told me.

Telecommunications 61

Telecommunications Data Architecture Big Data 61

The Crazy Programmer

DECEMBER 13, 2020

This blog will help you identify the most trending and latest seminar topics for CSE. Big Data Analysis for Customer Behaviour. Data Warehousing. Data Warehousing is the method of designing and utilizing a data storage system. Cloud Storage. Optical Storage Technology. CORBA Technology.

Engineering 270

Engineering Wireless 3D Programming 270

Apps Associates

MAY 18, 2021

Performing analytics on the data was possible but took a long time and was mostly done in batch (using map reduce routines written in Java). Although on-premises Hadoop clusters ushered in the era of Big Data and supported data use cases that previously were not possible, many of these systems proved to be costly and cumbersome to maintain.

Cloud 98

Cloud Data Azure Analytics 98

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. and Big Data Analytics in Predictive Maintenance Industry 4.0 is also enabling the use of big data in predictive maintenance.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 91

Analytics Network Innovation IoT 91

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

Cloud 83

Cloud Data Architecture Virtualization 83

Cloudera

JUNE 13, 2023

Data and analytics are the essential engines in this strategy which entails upgrading the bank’s core banking technology to deliver reliable, efficient, and secure services for their customers while safeguarding critical data.

Analytics 76

Analytics Data Banking Big Data 76

Sunflower Lab

SEPTEMBER 11, 2023

Lakes are the most widely available source of water in the world and thus the importance of lakes can be transcended to our digital concept of data lake, which has become just as important as any other digital concept in this 21st century. Mostly abundant data types are structured, unstructured and semi-structured.

Industry 52

Industry Data Retail Architecture 52

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

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

CIO

FEBRUARY 14, 2023

Organizations have balanced competing needs to make more efficient data-driven decisions and to build the technical infrastructure to support that goal. However, a data execution strategy has to evolve for real-time AI to scale with speed. Learn more about moving to cloud-native applications and data with Kubernetes in this blog post.)

Artificial Inteligence 273

Artificial Inteligence Strategy Data Machine Learning 273

Confluent

FEBRUARY 13, 2019

Part 1 of this series discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares and contrasts scaling, persistence and runtime models. In this way, we don’t think about solution architecture in just one dimension. Data evolution.

Architecture 90

Architecture Programming Microservices Serverless 90

Kentik

OCTOBER 25, 2016

How Scalable Architecture Boosts Accuracy in Detection. The out-of-band architecture also provides the option to utilize hybrid mitigation techniques that are tailored to specific needs and objectives. These issues are rooted in the inherent compute and storage limitations of scale-up detection architectures.

Scalability 40

Scalability Architecture Big Data Analytics 40

Datavail

NOVEMBER 6, 2023

Known for its ability to handle massive amounts of data across multiple nodes with no single point of failure, Cassandra has become a popular choice for organizations dealing with big data and real-time applications. It follows a peer-to-peer architecture, employing a decentralized approach to data storage and replication.

Open Source 58

Open Source Scalability Analytics Database Administration 58

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data 90

Data Analytics Open Source Architecture 90

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. Once the architecture and plan were in place, the hard work of building the solution began.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

Linux Academy

APRIL 30, 2019

Stay tuned to the Linux Academy blog for further details. This course covers the basics of Prometheus, which includes its architecture and components, such as exporters, client libraries, and alerting. Students will get hands-on experience installing and configuring containers and thoughtfully selecting a persistent storage strategy.

Linux 113

Linux AWS Big Data Course 113

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

Altexsoft

JUNE 1, 2020

Data lakes are repositories used to store massive amounts of data, typically for future analysis, big data processing, and machine learning. A data lake can enable you to do more with your data. What Is a Data Lake? Users can locate specific data in a lake through crawling, cataloging and indexing.

Data 69

Data Cloud Azure Storage 69

Capgemini

MAY 20, 2020

Retailers have long been hampered by their data infrastructures, first by structural limitations inherent in data warehouses and then the expense and lack of agility of newer big-data systems. In part one of this blog, I examine the cost of legacy systems and introduce an answer to th at problem. .

Infrastructure 64

Infrastructure Data Retail Analytics 64

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 92

Storage Azure Technical Review Database Administration 92

Netflix Tech

MAY 4, 2023

When undertaking system migrations, one of the main challenges is establishing confidence and seamlessly transitioning the traffic to the upgraded architecture without adversely impacting the customer experience. This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal.

Comparison 135

Comparison Testing Metrics Analysis 135

Altexsoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. Kafka architecture. Kafka cluster architecture. Scalability.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

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

Mobilunity

NOVEMBER 24, 2021

In most digital spheres, especially in fintech, where all business processes are tied to data processing, a good big data engineer is worth their weight in gold. In this article, we’ll discuss the role of an ETL engineer in data processing and why businesses need such experts nowadays. Who Is an ETL Engineer?

Development 52

Development Storage Recruiting Architecture 52

Linux Academy

FEBRUARY 26, 2019

Stay tuned to the Linux Academy blog for further details. Hadoop Quick Start — Hadoop has become a staple technology in the big data industry by enabling the storage and analysis of datasets so big that it would be otherwise impossible with traditional data systems. No prior AWS experience is required.

Linux 80

Linux AWS Big Data Course 80

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

CTOvision

JUNE 12, 2014

We’ve migrated to a userid-password society; as we’ve added layers of security, we password-protect each layer: PC (and now device), network, enclave, application, database, and storage (encryption). The main concept is to leverage big data to determine the unique identity of an individual based on his or her behavior.

Storage 99

Storage Mobile Network Authentication 99

Perficient

JULY 4, 2023

This approach is often used when the destination system has the capability to perform complex transformations and data manipulation. ELT is becoming more popular with the rise of cloud-based data warehouses and big data platforms that can handle large-scale data processing and transformation.

Big Data 52

Big Data Scalability Analysis Performance 52

Linux Academy

MAY 28, 2019

Stay tuned to the Linux Academy blog for further details. Courses Free in May: Network Routing Protocol Fundamentals – Network routing is the process of enabling computers to transfer data over networks, including the internet. ” In this course we describe the main characteristics of Big Data and its sources.

Linux 104

Linux AWS Azure Technical Review 104

Prisma Clud

NOVEMBER 21, 2023

Typical labeling practices (public, internal, confidential, secret) fail to capture the differences and nuances between different types of data, such as the difference between R&D documents and customer payment information. What Is Data Classification? How to Classify?

Data 52

Data Policies Software Review Compliance 52

Linux Academy

JANUARY 29, 2019

Stay tuned to the Linux Academy blog for further details. February Study Group Course: YAML Essentials – YAML Essentials gives even the absolute YAML beginner the skills they need to craft documents using this popular data serialization language. Using real-world examples, we highlight the growing importance of Big Data.

Linux 60

Linux Technical Review AWS Big Data 60