Kentik

FEBRUARY 14, 2023

Through instrumentation, integrations, automated analysis, visualizations, and a full suite of data management features, data platforms offer data managers and engineers a unique opportunity to interact with distributed data at a scale that would otherwise exist in siloed data infrastructures.

Network 52

Network Data Artificial Inteligence Analysis 52

Altexsoft

JUNE 25, 2019

It’s necessary to figure out how to get sales data from its dedicated database talk with inventory records kept in a SQL server , for instance. This creates the necessity for integrating data in unified storage where data is collected, reformatted, and ready for use – data warehouse. Data warehouse storage.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Trigent

APRIL 11, 2023

Disk Utilization : A disk usage bottleneck is likely due to a problem related to the physical size of the disk or how fast data is being read from or written to the disk. Long-term storage, including hybrid hard drive (HHD) and solid-state drive (SSD). This type of performance testing is essential for big data applications.

Performance 52

Performance Testing Quality Assurance Software Review 52

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

RapidValue

MARCH 4, 2021

As we all know, Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance. The normal cost for storage will apply for storing the access logs in the bucket. Enable encryption of data at rest and in transit.

Storage 78

Storage AWS Policies Scalability 78

Altexsoft

OCTOBER 21, 2022

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. process data in real time and run streaming analytics. Scalability.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Cloudera

MAY 18, 2021

Second, since IaaS deployments replicated the on-premises HDFS storage model, they resulted in the same data replication overhead in the cloud (typical 3x), something that could have mostly been avoided by leveraging modern object store. Storage costs. using list pricing of $0.72/hour hour using a r5d.4xlarge

Cloud 85

Cloud Technical Review Storage Backup 85

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

AUGUST 26, 2020

Informatica’s comprehensive suite of Data Engineering solutions is designed to run natively on Cloudera Data Platform — taking full advantage of the scalable computing platform. The presentation of data from Cloudera within proprietary database systems is also supported. Certified Kubernetes Shared Storage Partner.

Data 82

Data Machine Learning Artificial Inteligence Disaster Recovery 82

AWS Machine Learning - AI

FEBRUARY 1, 2024

The data sources may be PDF documents on a file system, data from a software as a service (SaaS) system like a CRM tool, or data from an existing wiki or knowledge base. Scalability – How many vectors can the system hold? He entered the big data space in 2013 and continues to explore that area.

Generative AI 106

Generative AI Disaster Recovery Artificial Inteligence AWS 106

Apps Associates

MARCH 24, 2022

Introducing Amazon EC2 X2iezn instances – Amazon EC2 X2iezn instances are powered by 2nd generation Intel Xeon Scalable processors with an all core turbo frequency of up to 4.5 M6i and R6i instances are powered by 3rd generation Intel Xeon Scalable processors with an all-core turbo frequency of 3.5 GHz, the fastest in the cloud.

AWS 52

AWS Backup Firewall Storage 52

RapidValue

NOVEMBER 10, 2020

Cloud optimization helps: To maximize the efficiency of your servers, storage, and databases. Compress Data Before Storage – Compressing data reduces your storage requirements. Subsequently, reducing the cost of storage. To drive down costs across resources. In increasing uptime with high availability.

AWS 98

AWS Cloud How To Storage 98

Netflix Tech

MAY 4, 2023

The first phase involves validating functional correctness, scalability, and performance concerns and ensuring the new systems’ resilience before the migration. Provides a platform to ensure that relevant operational insights , metrics, logging, and alerting are in place before migration.

Comparison 135

Comparison Testing Metrics Analysis 135

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

Openxcell

MARCH 30, 2023

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. The 21st century has seen the advent of some ingenious inventions and technology.

Artificial Inteligence 98

Artificial Inteligence Machine Learning IoT Internet 98

Sunflower Lab

OCTOBER 2, 2023

Microsoft Azure’s Synapse Analytics is an integrated platform solution that brings together the capability of data warehousing, data connectors, ETL pipelines, analytics tools, and services, as well as the scale for big data, visualization, and dashboards.

Azure 40

Azure Analytics UI/UX Software Review 40

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

Datavail

JUNE 9, 2020

By moving to the cloud, organizations of all sizes and industries have cut costs, improved their flexibility and scalability, ensured business continuity, and reduced their maintenance obligations. Oracle services such as Oracle Database Cloud and OCI Object Storage. Cloud data warehouses such as Google BigQuery and Snowflake.

Innovation 59

Innovation Microservices Azure Big Data 59

Altexsoft

SEPTEMBER 21, 2023

Analysis of logs, metrics, and security events. With Elasticsearch, you can aggregate and analyze large streams of logs, metrics, and security events in near real-time, making it indispensable for system monitoring and security information and event management (SIEM). Business workflow automation. Geospatial analysis.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Openxcell

DECEMBER 18, 2023

Data Analysis In the world of Big Data, where data is currency, it is tiresome to sift through huge amounts of data quickly and thoroughly. However, with AI tools, one can simply reduce the time to analyze this data by many fractions. It lacks the flexibility to hold more data, resources, and functions.

Artificial Inteligence 52

Artificial Inteligence Applications Development Artificial Intelligence 52

Kentik

APRIL 16, 2018

We live in the age of analytics, powered by incredible advances in distributed computing and big data technology. Companies are turning to data and analytics to improve all aspects of how they do business. KPI data from network elements and monitoring probes. Application performance metrics.

Performance 40

Performance Cloud Big Data KPI 40

Cloudera

JUNE 6, 2019

Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants. While adding nodes addresses some scalability challenges, it quickly becomes a cost-inefficient way to deal with demand. Networking Implications. Cloudera Manager 6.2

Virtualization 86

Virtualization Storage Policies Infrastructure 86

Apiumhub

MARCH 16, 2021

Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information. It has become a necessary tool in the era of big data. It is a suite of software and services to transform data into actionable intelligence and knowledge. Metric Insights.

Business Intelligence 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

Altexsoft

DECEMBER 14, 2020

As long as data fits within the structure of RDBMSs, it allows one to easily search for particular information and single out the relationships between its pieces. Such data can only be used for its intended purpose. On top of that, structured data doesn’t normally require much storage space.

Data 93

Data Artificial Inteligence Storage Analytics 93

LogicMonitor

NOVEMBER 16, 2018

LogicMonitor has done a great job of solving these problems for customers with our hugely scalable TSDB that stores every sample without loss for up to 2 years, our library of over 1,200 monitoring integrations with best practices alert thresholds defined, and so forth. Overprovisioned storage or compute. on that service as a whole.

Metrics 40

Metrics Systems Review Storage Data Center 40

Openxcell

JANUARY 18, 2022

Besides, it provides a single interface and single data storage to manage the projects efficiently. Moreover, it utilizes the delta compression technique for storage management and is highly secure as it doesn’t use symbolic links. Apache is open-source software that uses atomic operations to eliminate data spoilage.

DevOps 52

DevOps Tools Open Source Testing 52

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

Openxcell

DECEMBER 22, 2021

Continuous testing helps break down the complexities in multilayered architectures by utilizing an automated and scalable testing solution. Query surge is an advanced testing tool created primarily to automate the testing of Big Data and Data Warehouses. Multiple test data versions creation. Query Surge.

DevOps 52

DevOps Testing Software Review Weak Development Team 52

Kentik

MARCH 14, 2016

Big Data Boosts Performance, Benefits Business. In Part 1 of this series, we looked at the incorporation of BGP into the NetFlow protocol and the subsequent use of passive BGP sessions to capture live BGP attribute data. Big Data and cloud architecture changed all that. Real-world Big Data benefits.

Analysis 40

Analysis Big Data Architecture Storage 40

Altexsoft

JULY 1, 2021

PaaS solutions support the development of virtually any type of system, including web applications, mobile applications, big data, AI, and even hardware based solutions like internet of things (IoT) devices. It is Google’s central AI platform, intended for developers and data scientists handling big data.

Artificial Inteligence 59

Artificial Inteligence Azure Software Review Google Cloud 59

Instaclustr

OCTOBER 14, 2019

Ben shared lots of revealing graphs of metrics relevant to community health, including trends in the number of issues created and resolved since 2014, code additions and subtractions, code commits, committer stats (there are more now than 2017), release activity, commits by top contributors, google search term trends, and database engines ranking.

Technical Review 36

Technical Review Technology Report Open Source 36

Netflix Tech

DECEMBER 14, 2018

A fundamental requirement for any lasting data system is that it should scale along with the growth of the business applications it wishes to serve. NMDB is built to be a highly scalable, multi-tenant, media metadata system that can serve a high volume of write/read throughput as well as support near real-time queries.

Media 94

Media Systems Review Storage Performance 94

d2iq

FEBRUARY 19, 2021

This means integrating with lots of data sources and writing custom transformations to shape the data in the format required for each use case. Machine learning engineers are typically responsible for ML models in production environments, dealing with web services, latency, scalability, and handling most of the automation around ML.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

Kentik

MAY 31, 2017

It’s high time to move away from this legacy paradigm to a unified, scalable, real-time solution built on the power of big data. Some tools present insights gleaned from the collection of device metrics while others use network flows. Other tools gain insight through analysis of packet data, and so on.

Network 40

Network Tools Big Data Metrics 40

Altexsoft

SEPTEMBER 9, 2022

In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. Metadata storage. Ensure its scalability and integrability.

Tools 59

Tools Technical Review Software Review Systems Review 59

Altexsoft

APRIL 23, 2019

Technologies used in BI to transform unstructured or semi-structured data can also be used for data mining , as well as being front-end tools to work with big data. Along with the objectives, on that stage you will have to think of possible KPIs and evaluation metrics, to see how the task is fulfilled.

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

Instaclustr

OCTOBER 14, 2019

Ben shared lots of revealing graphs of metrics relevant to community health, including trends in the number of issues created and resolved since 2014, code additions and subtractions, code commits, committer stats (there are more now than 2017), release activity, commits by top contributors, google search term trends, and database engines ranking.

Technical Review 28

Technical Review Technology Report Open Source 28