Datavail

OCTOBER 29, 2019

Businesses of all sizes and industries are hungry both for big data and for the digital technologies that convert it into intelligent, valuable insights. Competition in the big data space is fierce, and trends are changing fast. Keep reading for our analysis of Data Trend #1: Data Management is Still Hard.

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Big Data Trends Data Business Intelligence 40

RapidValue

DECEMBER 7, 2020

OAC offers analytics and reporting, data visualizations, data modeling, self-service analytics, big data analytics, machine learning, and predictive analytics under a single license. In this blog post, we attempt to explain a high-level approach for BICS to OAC migration and the key things to consider during the process.

Business Intelligence 72

Business Intelligence Analytics Cloud How To 72

CTOvision

SEPTEMBER 17, 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.

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Big Data Fractional CTO Government CTO 105

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.

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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.

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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.

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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.

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Apiumhub

APRIL 8, 2021

The people listed promote learning and the sharing of knowledge by sharing their insights through LinkedIn, Twitter, blog posts, podcasts, books, workshops, etc. Top Data Science experts you should know about. Adrian specializes in mapping the Database Management System (DBMS), Big Data and NoSQL product landscapes and opportunities.

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Artificial Inteligence Technical Advisors Data Machine Learning 109

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.

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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).

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Data Government Artificial Intelligence Artificial Inteligence 109

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.

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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.

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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.

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Analytics Trends Data Big Data 52

Perficient

DECEMBER 19, 2022

In this Blog, we look at Power BI vs. Tableau, exploring their similarities and differences and their pros and cons. According to data from Gartner , Power BI and Tableau are the first- and second-most popular business intelligence tools on the market. After reading, you should know which is right for your needs.

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UI/UX Analytics Software Review Business Intelligence 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.

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Data How To Recruiting Machine Learning 200

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.

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Healthcare Technical Review AWS Analytics 64

Perficient

JULY 4, 2023

The process involves extracting data from the source systems, transforming it into a format that can be used by the destination system, and then loading it into the destination system. This approach is often used when the destination system has the capability to perform complex transformations and data manipulation. What is ELT?

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Big Data Scalability Analysis Performance 52

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.

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Healthcare AWS Analytics Pharmaceuticals 64

Datavail

AUGUST 19, 2021

We’ve done a lot of research on this question, and we’ve compiled that research into a list of the most critical benefits organizations are looking for in terms of business intelligence (BI) systems that provide data analytics. Business leaders want the ability to do self-service data exploration and discovery.

Analytics 98

Analytics Data Business Intelligence Media 98

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

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

Datavail

JUNE 8, 2023

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Datavail

MARCH 4, 2021

Microsoft’s Power BI software for business intelligence and analytics is used by thousands of organizations around the world to uncover hidden insights and make smarter, data-driven decisions. The list above is only scratching the surface of the most recent Power BI features and updates. What’s Next for Power BI?

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Performance Azure Analytics Artificial Intelligence 52

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.

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Data Weak Development Team Real Estate Storage 41

Kaseya

NOVEMBER 9, 2023

Its proliferation across businesses is a testament to its undeniable advantages, offering a dynamic ecosystem wherein organizations can seamlessly scale and streamline operations, foster innovation and adapt swiftly to ever-evolving market demands.

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Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

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.

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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.

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Data Analytics Open Source Architecture 94

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.

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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.

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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.

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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.

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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

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