CIO

OCTOBER 23, 2023

Customer sentiment, evolving corporate values, and government regulation have converged to make sustainability a strategic priority for nearly every business. Today, IT leaders are tasked with finding solutions that meet at the intersection of business growth and environmental responsibility.

Sustainability 317

Sustainability Data Center Technical Review Energy 317

Cloudera

MARCH 5, 2024

AI, and any analytics for that matter, are only as good as the data upon which they are based. Faced with unique challenges around distributed data infrastructures, governance, and an evolving security landscape, enterprises need the right support to fully tap into AI quickly. And that’s where the rub is.

Data 87

Data Data Center Analytics Artificial Intelligence 87

CIO

FEBRUARY 14, 2023

AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations. A cloud-native approach with Kubernetes and containers brings scalability and speed with increased reliability to data and AI the same way it does for microservices.

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

Perficient

MARCH 19, 2024

BigQuery’s scalable, distributed analysis engine lets you query terabytes in seconds and petabytes in minutes. BigQuery maximizes flexibility by separating the compute engine that analyzes your data from your storage choices. Looker Studio Pro enhances team collaboration, governance, and support.

Data 111

Data Google Cloud Analytics Serverless 111

Perficient

DECEMBER 13, 2023

A PBM company collaborates with various government entities, employers, and insurance companies to manage, administer, and execute prescription drug benefits within health plans. Data Analyses To get insights from such vast and diverse data sets, an appropriate analytical tool is essential.

Healthcare 52

Healthcare AWS Lambda 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

Sunflower Lab

OCTOBER 9, 2023

Diving into World of Business Analytics Data analytics is not an old concept, it is an essential practice which has driven business success in the past and the present, it will confidently drive the success in the future too. “ Data Explosion ” refers to a trend of exponentially multiplying data that is stored.

Business Analytics 40

Business Analytics Analytics UI/UX Development Team Review 40

The Crazy Programmer

SEPTEMBER 27, 2021

Many web apps, as well as mobile and analytics applications, use it as their primary database. Scalability: Your database can expand to meet your needs. GIS data from the government: It also has a GIS extension called “PostGIS” that has hundreds of functions for processing geometric data in multiple forms.

Applications 147

Applications Open Source PHP Windows 147

Cloudera

AUGUST 4, 2021

In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns. Navistar relies on predictive maintenance, which leverages IoT and data analytics to predict and prevent breakdowns of commercial trucks and school buses. “We

IoT 98

IoT Machine Learning Artificial Inteligence Government 98

Cloudera

JUNE 7, 2023

Focusing on the Data Pillar According to the Federal Data Strategy , the federal government views itself as the “preeminent supplier and sophisticated and ethical user of data.” With use cases from citizen services to military intelligence, government data is leveraged as a strategic asset across agencies (civilian and DoD).

Data 81

Data Government Technical Review Policies 81

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

Datavail

DECEMBER 2, 2021

It is one of the first data warehousing platforms offered as a software as a service (SaaS) product with storage, compute, and cloud services operating separately and billing as independent units. This speeds the work of data scientists and gets analytical insights into the right hands faster. It’s quick and easy to set up and access.

Data 98

Data Analytics Azure Storage 98

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

AWS Machine Learning - AI

FEBRUARY 6, 2024

Companies face complex regulations and extensive approval requirements from governing bodies like the US Food and Drug Administration (FDA). Users then review and edit the documents, where necessary, and submit the same to the central governing bodies. This post is co-written with Ilan Geller, Shuyu Yang and Richa Gupta from Accenture.

Generative AI 100

Generative AI AWS Lambda Technical Review 100

Perficient

FEBRUARY 28, 2023

These charts show just a few of the use cases we’ve built for past provider, payer, and life sciences clients, to paint a picture of the actual analytics value we’ve delivered. Now let’s take a more in-depth look at a few specific projects and solutions which Perficient has executed with our clients.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

CTOvision

FEBRUARY 26, 2014

By Bob Gourley With high-speed data analytics and cyber analytics enterprises shift the balance of power in cyber security. The new Novetta Cyber Analytics solution, running on a Teradata analytic data platform, can provide insight and discovery into the “who, what, where, when, and why” of advanced persistent threats.

Analytics 102

Analytics Big Data Conference Malware 102

Xebia

JANUARY 19, 2023

The authors divide the data engineer lifecycle into five stages: Generation Storage Ingestion Transformation Serving Data The field is moving up the value chain, incorporating traditional enterprise practices like data management and cost optimization and new practices like DataOps. Architect for scalability. Plan for failure.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

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. Scalability. This includes data cleansing, normalization, and enrichment. Data Security.

Engineering 52

Engineering Data Storage AWS 52

Perficient

FEBRUARY 14, 2023

A well-defined Cloud Strategy includes several important elements such as: Governance: Effective governance establishes policies and guardrails to ensure secure, compliant deployments and enforces proper naming, tagging, and cost control behaviors across an entire control plane while enabling productive, self-directed teams.

Programming 111

Programming Cloud Sustainability Government 111

Saviynt

MARCH 26, 2020

This will present a multitude of challenges for information security teams which is why bringing together – or converging – data access governance (DAG) with Identity Governance and Administration (IGA) becomes paramount in an age of digital transformation. . What is the history of data access governance (DAG)?

Government 36

Government Data Policies Compliance 36

Kentik

APRIL 12, 2023

Data scientists play a critical role in the DataOps ecosystem, leveraging advanced analytics and machine learning techniques to gain insights from large and complex data sets. DataOps strategies require a robust data infrastructure, including data warehouses, data lakes, caches, and other data storage and processing systems.

Network 52

Network Data Engineering Machine Learning Artificial Inteligence 52

Cloudera

JUNE 22, 2023

Its built-in intelligence automates common data management and data integration tasks, improves the overall effectiveness of data governance, and permits a holistic view of data across the cloud and on-premises environments. Improved scalability and agility. A phased approach to modernization. A radically improved security posture.

Technical Review 65

Technical Review Data Open Source Systems Review 65

Cloudera

FEBRUARY 4, 2021

They need a comprehensive data and analytics platform to model risk exposures on-demand. Cloudera Data Platform (CDP) is an end-to-end data management, analytics, and machine learning platform that helps financial services manage their enterprise data. SDX enables safe and compliant self-service access to data and analytics.

Technical Review 87

Technical Review Marketing Technology Data 87

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. Operational efficiency across activities such as platform management / database administration, security and governance, and agile development (e.g., Quantifiable performance improvements of Apache Hbase 2.2.x

Storage 94

Storage Azure Technical Review Database Administration 94

Cloudera

JANUARY 28, 2022

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Private cloud continues to gain traction with firms realizing the benefits of greater flexibility and dynamic scalability. Security and governance consistent across distributed clouds.

Cloud 113

Cloud Data Government Strategy 113

Capgemini

JANUARY 13, 2022

How does Capgemini Government Solutions (CGS) offer Managed Services that support agencies, both federal and commercial, to achieve their missions? . Government Cloud (GovCloud) environment to meet mission needs. Applications Management. Cloud Infrastructure.

Minimum Viable Product 52

Minimum Viable Product Technical Review Azure Government 52

Cloudera

FEBRUARY 8, 2021

Future connected vehicles will rely upon a complete data lifecycle approach to implement enterprise-level advanced analytics and machine learning enabling these advanced use cases that will ultimately lead to fully autonomous drive. The vehicle-to-cloud solution driving advanced use cases. In summary, this is an exciting time.

Data 107

Data Machine Learning Artificial Inteligence Automotive 107

CloudSphere

JUNE 22, 2023

Scalability One of the remarkable advantages of cloud platforms is their inherent scalability. Federal Government, which saved $5.5 By eliminating the need for on-premises servers and infrastructure, organizations significantly reduce expenses related to hardware maintenance, software upgrades, and data storage.

Systems Review 52

Systems Review System Cloud Disaster Recovery 52

Datavail

APRIL 18, 2023

Furthermore, it combines the flexibility, scalability, and utility of public cloud solutions with the data governance, security, and control of private solutions. 3) Scalable Multi-Node Autonomous Services Oracle Cloud Infrastructure supports scalable, multi-node autonomous services for Oracle Databases.

Infrastructure 52

Infrastructure Performance Cloud Software Review 52

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 policy creation is essential to govern the management process. Metadata storage.

Tools 59

Tools Technical Review Software Review Systems Review 59

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. And companies that have completed it emphasize gained advantages like accessibility, scalability, cost-effectiveness, etc. . Governments . Governments.

Azure 52

Azure AWS Cloud How To 52

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. The speed, scalability, and flexibility that cloud computing offers enable firms to create, innovate, and support corporate IT solutions. For more storage, you must pay a price.

Architecture 52

Architecture Cloud Storage Google Cloud 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. Data is now one of the most valuable assets for any kind of business. This privacy law must be kept in mind when building data architecture.

Data 87

Data Data Engineering Big Data Architecture 87

Cloudera

SEPTEMBER 15, 2022

The gathering in 2022 marked the sixteenth year for top data and analytics professionals to come to the MIT campus to explore current and future trends. The third element in the process is the connection between the data products and the collection of analytics applications to provide business results.

Data 81

Data Architecture Analytics Cloud 81

Cloudera

DECEMBER 10, 2020

CDW includes two highly scalable and performant Apache open-source engines – Impala and Hive LLAP – that have proven themselves in hundreds of enterprises for business-critical data warehousing. 150 for storage use = $15 / TB / month x 10 TB. 150 for storage use = $15 / TB / month x 10 TB. CDW optimizes storage.

Data 98

Data Technical Review Storage Systems Review 98

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 Introduction.

Performance 94

Performance Cloud Data Storage 94

Cloudera

AUGUST 2, 2018

It is a reality – leading banks perform hundreds of analytical experiments every day on their massive data sets to find the next bit of information about their customers. Data teams in these insurance firms are leading the charge in rebuilding entire business models around data and analytics. Hybrid storage.

Data 51

Data Storage Analytics Insurance 51