Dataiku

MARCH 23, 2022

This blog is a guest post from our friends at Indizen-Scalian. They are experts in the entire business intelligence chain and the transformation of financial performance processes in the enterprise.

Business Intelligence 72

Business Intelligence Big Data Enterprise Cloud 72

The Accidental Successful CIO

JUNE 26, 2013

One of the things that makes having the CIO job different today from how it was in the past, besides the growing awareness of the importance of information technology, is the arrival of so-called “big data” We’re talking about terabytes or even petabytes of data and all of the headaches that come along with it.

Big Data 74

Big Data Data Analytics Innovation 74

The Accidental Successful CIO

NOVEMBER 6, 2013

CIOs need to learn how to ride the tsunami of big data Image Credit. CIOs have always had to find ways to deal with data. The arrival of the era of Big Data has almost overnight turned what was already a challenging task into a nearly impossible task. The Seven Steps To Getting Value Out Of Your Big Data.

Big Data 93

Big Data Analytics Data Report 93

Kentik

MAY 8, 2016

As we discussed in an earlier post, From NetFlow Analysis to Business Outcome , a Big Data approach to collecting, storing, accessing, and analyzing management data enables the level of collaboration that’s required for an organization to exhibit the key characteristics of a digital business.

Big Data 40

Big Data Data Network Agile 40

DevOps.com

DECEMBER 19, 2019

According to Gartner, 85% of big data initiatives end in failure. In 2020, organizations are out of budget and operational runway, and need to start executing and getting the big data recipe right. It is not just about big data; it is about using data differently.

Data 90

Data Big Data Business Intelligence Budget 90

Cloudera

DECEMBER 1, 2023

Find out more about Cloudera Data Flow and CDP, the only hybrid data platform for modern data architectures with data anywhere here ( Public Sector, Government Big Data Business Intelligence and Analytics (cloudera.com).

Data 104

Data Government Artificial Intelligence Artificial Inteligence 104

Kentik

JULY 18, 2016

Seeing Beneath the Surface with Post-Hadoop Big Data. At Kentik, we believe deeply in the power of post-Hadoop Big Data to address those limitations, making rich data readily accessible not only to engineering and operations, but also to wider areas of the organization. Dig deep without a backhoe.

Big Data 40

Big Data Network Analytics Data 40

Perficient

FEBRUARY 16, 2023

This is the second blog in a series that explains how organizations can prevent their Data Lake from becoming a Data Swamp, with insights and strategy from Perficient’s Senior Data Strategist and Solutions Architect, Dr. Chuck Brooks.

Data 110

Data Google Cloud Analytics Cloud 110

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

DECEMBER 19, 2018

Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

Analytics 52

Analytics Trends Data Big Data 52

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. Next, we’d like to share some real-life examples of projects and solutions we’ve executed with our clients.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

Hacker Earth Developers Blog

JUNE 26, 2019

Provide recommendations : Using data to form predictive models for companies to better understand their target customers; e-commerce companies use this to recommend products based on buying behavior and also monitor stock levels in warehouses. These business insights play an important role in the decision-making process of any organization.

Data 200

Data How To Recruiting Machine Learning 200

Perficient

FEBRUARY 13, 2023

In part 1 of our blog series , we talked about driving ROI in healthcare with data analytics modernization. In this blog, we will discuss accelerating time and money to value with the Perficient Healthy Lakehouse.

Healthcare 64

Healthcare AWS Analytics Pharmaceuticals 64

Hu's Place - HitachiVantara

JUNE 18, 2019

Scott Baker, posted a blog IDC: Object Storage More Than A One Trick Pony , which expanded on this IDC report and showed how our Object Storage platform, Hitachi Content Platform, HCP, evolved from a t rue archival compliance tool to one fine-tuned for Big Data analytics.

Storage 66

Storage Software Review Banking Technical Review 66

CTOvision

SEPTEMBER 8, 2014

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads.

Fractional CTO 105

Fractional CTO CTO Software Review Technical Review 105

Strategy Driven

APRIL 29, 2023

Data-driven sales enable companies to gain insights into their customers and prospects, prioritize leads, and optimize their sales pipeline. However, many businesses need help with leveraging data to improve their sales. This blog discusses six best practices for sales lead management in a data-driven world.

Data 37

Data Weak Development Team Real Estate Storage 37

Datavail

JULY 7, 2022

Meanwhile, in an informal survey of attendees at a recent Datavail webinar, the majority (75 percent) of attendees said that their organization was pursuing a “hybrid” (partly on-premises and partly in the cloud) strategy for business intelligence and analytics. High data volumes.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. The post The Future of the Data Lakehouse – Open appeared first on Cloudera Blog.

Data 89

Data Analytics Open Source Architecture 89

DevOps.com

DECEMBER 10, 2018

Four Vs drive big data solutions: volume, velocity, variety and veracity. Volume and velocity are technical considerations usually receiving a healthy dose of attention among architects and coders. However, variety and veracity often determine success or failure, and they tend to sneak up on teams who haven’t fully considered them.

KPI 104

KPI Analysis DevOps Big Data 104

CTOvision

OCTOBER 18, 2013

With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. H2O by 0xdata brings better algorithms to big data. Mike really nailed it with that one.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Datavail

DECEMBER 5, 2019

We’ve now reviewed the top 4 data trends projected by Datanami for 2019 – let’s see how stack up for trend #5. Even within the greater technology field, big data stands out for the speed at which new tools and practices appear and change. As of August 2018, there were 151,000 unfilled data scientist positions across the U.S. ,

Big Data 8

Big Data Technical Review Trends Technology 8

Datavail

SEPTEMBER 2, 2021

You’ll need to determine how to structure the data to answer those types of questions. The questions you’ll need to answer will depend on where your organization is in terms of Business Intelligence (BI) maturity. Guiding Your Organization Through the BI Maturity Stages.

Analytics 89

Analytics Cloud Data Artificial Inteligence 89

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

CTOvision

OCTOBER 2, 2013

Since joining forces last year, Strata + Hadoop World is also one of the largest gatherings of the Apache Hadoop community in the world, with emphasis on hands-on and business sessions on the Hadoop ecosystem. If you want to tap into the opportunities brought by big data, data science, and pervasive computing, you’ll want to be there.

Big Data 73

Big Data CTO Coach Conference Media 73

Altexsoft

APRIL 5, 2021

In recent history, the unprocessed and raw information that we call data has gained an increasing amount of traction due to companies realizing its potential. For a layman, this is exactly what started the buzz around big data. Only useable for data-oriented developers or analysts. Want to write an article for our blog?

Company 78

Company Data Technical Review Analysis 78

Hacker Earth Developers Blog

JUNE 26, 2019

Provide recommendations : Using data to form predictive models for companies to better understand their target customers; e-commerce companies use this to recommend products based on buying behavior and also monitor stock levels in warehouses. These business insights play an important role in the decision-making process of any organization.

Data 100

Data How To Recruiting Machine Learning 100

Kentik

MARCH 7, 2018

This series of blog posts will examine many aspects of ensuring application performance in cloud-scale enterprise WANs utilizing a hybrid of public and private networks. Private cloud hyperscale data centers will be needed to support Big Data clusters for processing sensor data in real-time along with a whole host of Industry 4.0

Industry 40

Industry Data Center WAN Big Data 40

N2Growth Blog

JANUARY 23, 2018

Businesses must also take advantage of customer telemetry, Big Data, generated by activity on websites, mobile devices, and social media, to create a more personalized experience — both in-house and online. But not every business knows how to convert that data into actionable insights.

Innovation 84

Innovation Strategy Big Data Advertising 84

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective. Check out this list below to see some of them in action: Comcast.

Enterprise 47

Enterprise Cloud Data Healthcare 47

CTOvision

MARCH 12, 2015

Compare incoming data against historical patterns and get notifications within seconds of the raw data so you don’t have to wait minutes or hours to catch them. We were introduced to SignalFX by reading Ben Horowitz''s blog. Big Data Company CTO Infrastructure Companies News Ben Horowitz Metrics Monitoring SignalFX'

Applications 86

Applications Metrics Weak Development Team Analytics 86

Perficient

MARCH 14, 2023

Blog Series Recap We have put together a blog series building off the webinar and going more in-depth about Perficient’s Healthy Lakehouse solution. You can find the full blog series, here.

Data 64

Data Healthcare AWS Analytics 64

Gorilla Logic

MAY 19, 2021

Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Skill shortages can delay project kickoffs and delivery.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Altexsoft

SEPTEMBER 6, 2018

An expert talking about the capabilities of predictive analytics for business on a morning TV show is far from unusual. Articles covering AI or data science in Facebook and LinkedIn appear regularly, if not daily. Our clients considered working with large datasets a big data problem. Big data analysis.

Company 63

Company Off-The-Shelf Data Software Review 63

Data Virtualization

JULY 7, 2022

Organizations that leverage data and information to create dynamic, productive experiences and superior services will be the winning companies of this age.” ” Javier García General Manager W&A Data.

Data 64

Data Virtualization Analysis Organization 64

Data Virtualization

MARCH 3, 2021

To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is. The post Data Management Challenges for the Modern Enterprise appeared first on Data Virtualization blog.

Enterprise 75

Enterprise Data Virtualization Strategy 75

Cloudera

SEPTEMBER 12, 2018

AbbVie, one of the world’s largest global research and development pharmaceutical companies, established a big data platform to provide end-to-end operations visibility, agility, and responsiveness. The lab uses Cloudera running on Cazena’s Fully-Managed Big Data as a Service on Amazon Web Services (AWS). Special Impact.

Artificial Inteligence 44

Artificial Inteligence Data Machine Learning Pharmaceuticals 44

Datavail

JUNE 6, 2019

Companies of all sizes and industries are hungry for business insights, and they’re willing to pay big bucks to get them. According to forecasts by market intelligence firm IDC, global revenues for big data and analytics solutions will hit $260 billion by 2022 , with a compound annual growth rate of 12 percent.

Tools 75

Tools Artificial Inteligence Analytics Artificial Intelligence 75