Cloudera

FEBRUARY 1, 2024

In the fast-paced world of cloud-native products, mastering Day 2 operations is crucial for sustaining the performance and stability of Kubernetes-based platforms, such as CDP Private Cloud Data Services. Planning the architecture: design the system architecture, considering factors like scalability, security, and performance.

Backup 82

Backup Architecture Cloud Resources 82

Altexsoft

FEBRUARY 11, 2023

Data architect and other data science roles compared Data architect vs data engineer Data engineer is an IT specialist that develops, tests, and maintains data pipelines to bring together data from various sources and make it available for data scientists and other specialists.

Data 87

Data Data Engineering Big Data Architecture 87

Cloudera

SEPTEMBER 29, 2020

Performance is one of the key, if not the most important deciding criterion, in choosing a Cloud Data Warehouse service. In today’s fast changing world, enterprises have to make data driven decisions quickly and for that they rely heavily on their data warehouse service. . Cloudera Data Warehouse vs HDInsight.

Azure 120

Azure Data Comparison Virtualization 120

Kentik

APRIL 4, 2023

When evaluating solutions, whether to internal problems or those of our customers, I like to keep the core metrics fairly simple: will this reduce costs, increase performance, or improve the network’s reliability? If a solution is cheap, it is probably not very performant or particularly reliable. Costs Redundancy isn’t cheap.

Network 104

Network Load Balancer Cloud Backup 104

Kentik

MAY 31, 2023

I also pointed out that because of necessary factors like redundancy, the pursuit of reliability will inevitably mean making compromises that affect a network’s cost or performance. In some cases, due to network latency or synchronization delays, different zones may have slightly different versions of the data or application state.

Network 52

Network Cloud Load Balancer Firewall 52

Altexsoft

DECEMBER 4, 2020

Hardware and software become obsolete sooner than ever before. So data migration is an unavoidable challenge each company faces once in a while. Transferring data from one computer environment to another is a time-consuming, multi-step process involving such activities as planning, data profiling, testing, to name a few.

Software Review 69

Software Review Software Data Technical Review 69

Erik Bernhardsson

DECEMBER 6, 2022

Data teams often need to change infrastructure a lot more often (sometimes every new cron job needs a Terraform update), have very “bursty” needs for compute power, and needs a much wider range of hardware (GPUs! There's a weird sort of backend-normative view of what data teams should do, but I think it's very misguided.

CTO Coach 242

CTO Coach Fractional CTO Software Engineering Serverless 242

Altexsoft

MARCH 31, 2020

Besides running daily operations, you may evaluate your performance. It means you must collect transactional data and move it from the database that supports transactions to another system that can handle large volumes of data. But how do you move data? You need an efficient data pipeline. What is a data pipeline?

Data 76

Data Storage Analytics Data Center 76

O'Reilly Media - Ideas

DECEMBER 6, 2018

Progress in research has been made possible by the steady improvement in: (1) data sets, (2) hardware and software tools, and (3) a culture of sharing and openness through conferences and websites like arXiv. We see a lot of new companies working on specialized hardware. Today, the community is much larger.

Technology 76

Technology Artificial Inteligence Machine Learning Hardware 76

Altexsoft

JANUARY 14, 2021

We’ll review all the important aspects of their architecture, deployment, and performance so you can make an informed decision. Before jumping into the comparison of available products right away, it will be a good idea to get acquainted with the data warehousing basics first. Different data is processed in parallel on different nodes.

Backup 115

Backup Azure Software Review Systems Review 115

Cloudera

DECEMBER 10, 2020

Drawing on more than a decade of experience in building and deploying massive scale data platforms on economical budgets, Cloudera has designed and delivered a cost-cutting cloud-native solution – Cloudera Data Warehouse (CDW), part of the new Cloudera Data Platform (CDP). CDW is built for high performance.

Data 98

Data Technical Review Storage Systems Review 98

Altexsoft

JULY 29, 2022

What happens, when a data scientist, BI developer , or data engineer feeds a huge file to Hadoop? Under the hood, the framework divides a chunk of Big Data into smaller, digestible parts and allocates them across multiple commodity machines to be processed in parallel. How data engineering works under the hood.

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

JULY 18, 2023

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. Graph processing.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Mentormate

OCTOBER 31, 2023

Could more data enhance performance? Phase Three: Assessing Feasibility and Added Value After brainstorming an array of AI-driven solutions, Business Analysts and Data Scientists step into the spotlight. On the other hand, a customized model offers a more tailored solution, addressing niche nuances.

Artificial Inteligence 98

Artificial Inteligence Healthcare Budget Training 98

Abhishek Tiwari

DECEMBER 27, 2017

Unified data management architecture. A unified data management (UDM) system combines the best of data warehouses, data lakes, and streaming without expensive and error-prone ETL. In contrast, Alluxio a middleware for data access - think Alluxio storage layer as fast cache. Leveraging the recent hardware advances.

Trends 49

Trends Artificial Inteligence Data Big Data 49

Cloudera

MAY 17, 2021

CDW – Lower minimum hardware requirements. In previous versions, performing such a change would interfere with Kerberos that expected a hard-coded service name. CDW Impala users can now run SQL queries on ORC ACID data, adding to the engine-supported data sources. Custom Principal Support for Hive/Impala: .

Cloud 90

Cloud Machine Learning Artificial Inteligence Storage 90

Altexsoft

MARCH 18, 2021

The data flow of both ETL and ELT relies on three core stages. Despite the identical names, the stages of each approach differ not only by the order they happen but also by the ways they are performed. These are data engineers who are responsible for implementing these processes. Stage 1 in both processes.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. This doesn’t apply to cloud ETL, though.

Tools 52

Tools Software Review Systems Review Testing 52

Altexsoft

FEBRUARY 8, 2021

And planning, in turn, relies on understanding of current performance, past trends, existing risks, and possible future scenarios. The data that your procurement management software generates can help you analyze potential suppliers’ performance by comparing their KPIs, prices, compliance, and other variables.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Performance.

Big Data 63

Big Data Data Storage Microservices 63

Altexsoft

OCTOBER 2, 2020

Well-designed data management processes can yield big benefits for your business — such as follows. If properly organized, data management minimizes data movement, helps uncover performance breakdowns, and enables users to have all the necessary information a click away. Snowflake data management processes.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

JUNE 7, 2021

The framework provides a way to divide a huge data collection into smaller chunks and shove them across interconnected computers or nodes that make up a Hadoop cluster. As a result, a Big Data analytics task is split up, with each machine performing its own little part in parallel. No real-time data processing.

Big Data 98

Big Data Tools Data Storage 98

Altexsoft

DECEMBER 9, 2020

Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software. At this stage, data is siloed, not accessible for most employees, and decisions are mostly not data-driven.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

FEBRUARY 22, 2022

Veteran truck drivers believe that “ If handled and driven correctly and the maintenance and inspections are performed religiously, you may never suffer a breakdown. ”. In this way, you avoid both performing too much upkeep and getting late with your repairs. Check our video overview of how data engineering works to get an idea.

Software Review 52

Software Review Technical Review Software Technology 52

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics 314

Analytics Data Engineering Machine Learning Artificial Inteligence 314

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. This demand gave birth to cloud data warehouses that offer flexibility, scalability, and high performance.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

SEPTEMBER 28, 2021

This compact, low-level language runs on a Python virtual machine (PVM), which is software that mimics the work of the real hardware. By contrast, a low-level language offers little to no human-readable elements, as it sits close to hardware and is often optimized for a specific CPU (central processing unit.). Dynamic semantics.

Weak Development Team 94

Weak Development Team Programming Software Review Systems Review 94

Altexsoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. High performance. How Apache Kafka streams relate to Franz Kafka’s books.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

DECEMBER 14, 2022

What’s more, this software may run either partly or completely on top of different hardware – from a developer’s computer to a production cloud provider. Thus, the guest operating system can be installed on this virtual hardware, and from there, applications can be installed and run in the same way as in the host operating system.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

TechCrunch

MAY 7, 2021

Given the multitude of variables at play, valuing these companies and then predicting public market performance is anything but straightforward. Forerunner’s Eurie Kim and Oura’s Harpreet Rai discuss betting on consumer hardware. Forerunner’s Eurie Kim and Oura’s Harpreet Rai discuss betting on consumer hardware.

Fintech 246

Fintech Windows Healthcare Analytics 246

Hu's Place - HitachiVantara

JANUARY 15, 2019

For lack of similar capabilities, some of our competitors began implying that we would no longer be focused on the innovative data infrastructure, storage and compute solutions that were the hallmark of Hitachi Data Systems. Quality of service (QoS) makes sure workloads have predictable performance for better user experiences.

Systems Review 72

Systems Review Storage System Software Review 72

Abhishek Tiwari

JULY 12, 2018

Unfortunately, building data pipelines remains a daunting, time-consuming, and costly activity. Not everyone is operating at Netflix or Spotify scale data engineering function. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines.

Data 63

Data Software Review Technical Review Microservices 63

Cloudera

NOVEMBER 12, 2020

The two examples listed here represent a quick glance at the challenges customers face due to the peak demands and extreme pressure on their data centers. The slow and rigid nature of hardware procurement makes it impossible to meet the dynamic and intermittent demands of business. How Burst to Cloud works.

Data Center 104

Data Center Cloud Data Policies 104

Cloudera

SEPTEMBER 17, 2020

With growing disparate data across everything from edge devices to individual lines of business needing to be consolidated, curated, and delivered for downstream consumption, it’s no wonder that data engineering has become the most in-demand role across businesses — growing at an estimated rate of 50% year over year.

Data Engineering 104

Data Engineering Engineering Data Tools 104

Altexsoft

JUNE 11, 2021

In simple words, it’s about finding out how the processes are actually performed to discover problems and areas for improvement. The control-flow perspective is about the order of activities, and the goal here is to find the optimal path of performing a process. Process mining ?an Enhancement goes beyond measuring and comparing.

Applications 69

Applications Weak Development Team Systems Review Software Review 69

O'Reilly Media - Ideas

JANUARY 25, 2024

Rust is a relatively young language that stresses memory safety and performance. It’s designed for high performance, especially for numerical operations. Data analysis and databases Data engineering was by far the most heavily used topic in this category; it showed a 3.6% Where are these languages going?

Trends 115

Trends Technical Review Technology Artificial Inteligence 115

Altexsoft

MAY 14, 2021

The concept of Big Data isn’t new: It has been the desired fruit for several decades already as the capabilities of software and hardware have made it possible for companies to successfully manage vast amounts of complex data. Big Data analytics processes and tools. Data ingestion.

Big Data 78

Big Data Analytics Tools Applications 78