Altexsoft

SEPTEMBER 28, 2023

Atlanta, GA – September 28, 2023 – AltexSoft, a Technology Consulting firm, is pleased to announce that multiple team members have secured certifications from Amazon Web Services (AWS) and Microsoft Azure over the past six months. AWS offers over 200 fully featured computing, storage, database, network, and analytics services.

Azure 52

Azure AWS Artificial Inteligence Artificial Intelligence 52

CIO

JANUARY 17, 2024

Reporting standardization One of Ipsos’ latest digital transformation-related projects is the move of its reporting and analytics to a standard digital delivery platform. This project aims to enable the company to transform its insight delivery by using a cloud-enabled infrastructure and proprietary reporting engine, built on open standards.

Artificial Inteligence 281

Artificial Inteligence Artificial Intelligence Analysis Azure 281

CIO

OCTOBER 13, 2023

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Data architect vs. data engineer The data architect and data engineer roles are closely related.

Data 317

Data Database Administration Data Engineering Artificial Inteligence 317

CIO

APRIL 25, 2024

This strategy alone — achieved with the DIY approach — was responsible for saving $300,000 when his team dug into expenses surrounding Google Cloud Platform log storage, resulting in his team moving the logs to a lower tier of cloud storage and rightsizing the data they retain to adhere to retention requirements.

Tools 270

Tools Cloud AWS Off-The-Shelf 270

CIO

DECEMBER 22, 2023

Skills: Knowledge and skills for this role include an understanding of implementation and integration, security, configuration, and knowledge of popular cloud software tools such as Azure, AWS, GCP, Exchange, and Office 365. Role growth: 21% of companies have added DevOps engineer roles as part of their cloud investments.

Cloud 297

Cloud Company Disaster Recovery Software Engineering 297

CIO

NOVEMBER 2, 2023

After being in cloud and leveraging it better, we are able to manage compute and storage better ourselves,” said the CIO, who notes that vendors are not cutting costs on licenses or capacity but are offering more guidance and tools. He went with cloud provider Wasabi for those storage needs.

Strategy 314

Strategy Cloud Data Center Generative AI 314

The Crazy Programmer

SEPTEMBER 11, 2021

The MongoDB development happened when the organization was putting all force into developing a Microsoft Azure-type PaaS in 2007. MongoDB and is the open-source server product, which is used for document-oriented storage. Eliot Horowitz then joined DoubleClick Research and Development division as a software engineer after his college.

Open Source 273

Open Source Storage Azure Scalability 273

Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. This allowed us to have disaggregated storage and compute layers, independently scaling based on workload requirements.

Data Engineering 115

Data Engineering Technical Review Software Review Engineering 115

Cloud That

NOVEMBER 28, 2022

Azure is a platform for open-source cloud computing. It offers numerous cloud services, such as computation, analytics, storage, and networking. You could save time by using nested virtualization instead of porting your VMs to Compute Engine. Conclusion. About CloudThat. Introduction. Keep all the settings to default.

Virtualization 72

Virtualization Azure Disaster Recovery Linux 72

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. Storage zone is where the raw data is stored in its original format. The analytics zone may include tools for data visualization, machine learning, and predictive analytics.

Engineering 52

Engineering Data Storage AWS 52

The Crazy Programmer

SEPTEMBER 25, 2023

Get 1 GB of free storage. Features: 1GB runtime memory 10,000 API requests 1GB Object Storage 512MB storage 3 Cron tasks Try Cyclic Google Cloud Now developers can experience low latency networks & host your apps for your Google products with Google Cloud. It is simple to start with the App Engine guide.

Serverless 180

Serverless AWS Google Cloud Azure 180

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Software engineer. Full-stack software engineer. Back-end software engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Software engineer. Full-stack software engineer. Back-end software engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Existek

JANUARY 11, 2022

We suggest drawing a detailed comparison of Azure vs AWS to answer these questions. Azure vs AWS market share. What is Microsoft Azure used for? Azure vs AWS features. Azure vs AWS comparison: other practical aspects. Azure vs AWS comparison: other practical aspects. Azure vs AWS: which is better?

Azure 52

Azure AWS Cloud How To 52

Cloudera

SEPTEMBER 29, 2020

In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to Microsoft HDInsight (also powered by Apache Hive-LLAP) on Azure using the TPC-DS 2.9 CDW is an analytic offering for Cloudera Data Platform (CDP). You can easily set up CDP on Azure using scripts here.

Azure 116

Azure Data Comparison Virtualization 116

The Citus Data

DECEMBER 7, 2019

At the same time, the team evaluates feedback from Microsoft engineers who are using pre-release versions of Windows updates. Given the importance of Windows for Microsoft’s customers, the RQV analytics dashboard is a critical tool for Windows engineers, program managers, and execs.

Azure 53

Azure Analytics Windows Weak Development Team 53

Xebia

DECEMBER 9, 2023

Experimenting with Chaos – Patrick, Casper and Rene During our innovation day, we wanted to set up some experiments with Azure Chaos Studio. Azure Chaos Studio is a new Azure product that is still in preview. Chaos studio can also inject chaos in to VM’s and Azure Kubernetes Service.

Innovation 130

Innovation Azure Microservices IoT 130

Mobilunity

MAY 20, 2021

Cloud engineering is a quickly developing industry that concerns all things cloud services. For example, everyone has cloud storage available on their smartphones or connected to their Google account. Cloud engineers deal with all types of tasks related to SaaS, PaaS, and IaaS services. rate each year. Contact us.

Engineering 52

Engineering Cloud Google Cloud Azure 52

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). On-prem infrastructure will grow cold — with the exception of storage, Nardecchia says.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

The Crazy Programmer

NOVEMBER 6, 2021

A cloud architect has a profound understanding of storage, servers, analytics, and many more. They also use tools like Amazon Web Services and Microsoft Azure. Big Data Engineer. Another highest-paying job skill in the IT sector is big data engineering. AI or Artificial Intelligence Engineer.

Artificial Inteligence 290

Artificial Inteligence Artificial Intelligence Blockchain Software Review 290

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This will simplify further reading.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

JULY 4, 2022

Companies often take infrastructure engineers for sysadmins, network designers, or database administrators. What is an infrastructure engineer? (80, The hardware layer includes everything you can touch — servers, data centers, storage devices, and personal computers. Cloud infrastructure engineer. How is it possible?

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Mobilunity

AUGUST 3, 2021

The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer? Big Data requires a unique engineering approach. Big Data Engineer vs Data Scientist. Some of these include: .

Big Data 52

Big Data Data Engineering Engineering Data 52

InnovationM

MAY 14, 2023

Demystifying Data Lakes Data lakes serve as flexible storage repositories, enabling organizations to store raw and diverse data types, breaking away from the constraints of traditional data warehouses. These systems ensure high availability and facilitate the storage of massive data volumes.

Data 52

Data Storage Construction Business Intelligence 52

Altexsoft

FEBRUARY 11, 2023

The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What is the main difference between a data architect and a data engineer? Feel free to enjoy it. Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

ParkMyCloud

JULY 30, 2019

Have you been hearing a lot about Azure Databricks lately? These are in fact Databricks being used to undertake data analytics workloads. Apache Spark is described as a unified analytics engine for large-scale data processing. DBU for their Standard product on the Data Engineering Light tier to $0.55

Azure 40

Azure AWS Analytics Machine Learning 40

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). However, from an analytics perspective there was no integration between the data warehouse platform and the data lake. Azure Synapse. Related Resources: Snowflake. Google Big Query.

Cloud 98

Cloud Data Azure Analytics 98

O'Reilly Media - Data

AUGUST 16, 2018

As in other areas of engineering, standardization allows practitioners to port their learnings across a multitude of solutions, and to more easily employ different technologies together; standardization also allows solution providers to take advantage of sub-components to expeditiously build more compelling solutions with broader applicability.

Big Data 124

Big Data Data Storage Azure 124

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. AWS and Azure standards) reducing cost, complexity and ensuing risk mitigation in HA scenarios: . Quantifiable performance improvements of Apache Hbase 2.2.x Elastic Compute.

Storage 92

Storage Azure Technical Review Database Administration 92

ParkMyCloud

AUGUST 4, 2020

This is an extension of its existing BigQuery data analytics solution to now analyze data in multiple public clouds, currently including Google Cloud and Amazon Web Services (AWS), with Microsoft Azure coming soon. BigQuery Engine to Analyze Multi-Cloud Data. BigQuery Omni supports Avro, CSV, JSON, ORC, and Parquet.

Google Cloud 57

Google Cloud Cloud Azure AWS 57

Cloudera

JANUARY 15, 2021

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. Compared to CDW, Amazon Redshift ran the workload at 19% higher cost, Azure Synapse Analytics had 43% higher cost, DW1 had 79% higher cost, and DW2 had 5.5x

Performance 92

Performance Cloud Data Storage 92

High Scalability

JANUARY 11, 2022

Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. FUN FACT : In this talk , Rodrigo Schmidt, director of engineering at Instagram talks about the different challenges they have faced in scaling the data infrastructure at Instagram. This is a guest post by Ankit Sirmorya.

Machine Learning 133

Machine Learning Artificial Inteligence Storage Media 133

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Cloud storage functions by allowing users to access and download data on any selected device, such as a laptop, tablet, or smartphone, via an Internet service connection. Public cloud.

Architecture 52

Architecture Cloud Storage Google Cloud 52

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. Multiple studies continuously demonstrate the superiority of analytics-based organizations (e.g., Gartner’s 2022 Magic Quadrant for Analytics and Business Intelligence Platforms.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

CIO

JULY 13, 2022

In a recent customer workshop with a large retail data science media company, one of the attendees, an engineering leader, made the following observation: “Everytime I go to your competitor website, they only care about their system. Why does every organization need it when using a modern data stack? How to onboard data into their system?

System 151

System Enterprise Data Cloud 151

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

This will be a blend of private and public hyperscale clouds like AWS, Azure, and Google Cloud Platform. The term “hyperscale” is used by Gartner to refer to Amazon Web Services, Microsoft Azure, and Google Cloud Platform. REAN Cloud has expertise working with the hyperscale public clouds.

Cloud 78

Cloud Google Cloud Azure AWS 78

Agile Engine

FEBRUARY 20, 2019

Google Cloud, Microsoft Azure, and AWS are some of the biggest brands in machine learning as a service (MLaaS). Microsoft Azure. Data Storage. Google Cloud Storage. Google Cloud Storage. Azure Blob Storage. Microsoft Azure HDInsight. Stream analytics. Azure Stream Analytics.

Big Data 71

Big Data Google Cloud Data Azure 71