Cloudera

AUGUST 3, 2021

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed. Improve Visibility within Supply Chains.

Analytics 107

Analytics Open Source Government Machine Learning 107

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. They wanted to become an operationally integrated, data-driven organization and realized they needed help getting there.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

Perficient

MARCH 14, 2023

Here is a high-level overview of the blog series: Blog 1 Summary: Driving ROI in Healthcare with Data and Analytics Modernization Most healthcare organizations we work with have taken some steps towards modernizing their data and analytics capabilities. We’ve seen some movement to the cloud, mainly lifting and shifting data.

Data 64

Data Healthcare AWS Analytics 64

Cloudera

SEPTEMBER 15, 2022

Cloudera Contributor: Mark Ramsey, PhD ~ Globally Recognized Chief Data Officer. July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. Luke: What is a modern data platform?

Data 78

Data Architecture Analytics Cloud 78

Datavail

JANUARY 4, 2022

As more and more companies look towards the cloud for their data warehousing needs, Snowflake is becoming a popular choice. Given these benefits, you might consider a Snowflake data warehouse migration for your own organization. 4 Challenges of Snowflake Migrations. 4 Challenges of Snowflake Migrations.

Data 52

Data AWS Analytics Architecture 52

Apiumhub

JUNE 22, 2021

We are super excited to participate in the biggest and the most influential Data, AI and Advanced Analytics event in the Nordics! Data Innovation Summit ! There our Gema Parreño – Data Science expert at Apiumhub gives a talk about Alignment of Language Agents for serious video games. Data Innovation Summit topics.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

Perficient

FEBRUARY 13, 2023

In part 1 of our blog series , we talked about driving ROI in healthcare with data analytics modernization. Through past implementations, Perficient has learned a lot about what adds time, effort, and cost to healthcare data & analytics projects. We’ve also learned a bit about what can be done to reduce the lift involved.

Healthcare 64

Healthcare AWS Analytics Pharmaceuticals 64

Cloudera

JUNE 2, 2021

Data pipelines are in high demand in today’s data-driven organizations. As critical elements in supplying trusted, curated, and usable data for end-to-end analytic and machine learning workflows, the role of data pipelines is becoming indispensable.

Data 88

Data Data Engineering Machine Learning Artificial Inteligence 88

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Data Science and machine learning workloads using CDSW.

Cloud 130

Cloud Systems Review Technical Review Software Review 130

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. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

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

Cloudera

DECEMBER 19, 2018

Data analytics priorities have shifted this year. 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

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data 80

Data Analytics Cloud Technical Review 80

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

Cloud 67

Cloud Data Storage Analysis 67

RapidValue

JUNE 26, 2020

For any organization, be it large or mid-scale, data is important for reviews and predictions and to analyze how effectively the business is running. Apart from generating reports out of daily transactional data, it is equally important that you take a deep dive and analyze the patterns in the historical data.

Analytics 72

Analytics Cloud Technical Review Data 72

Openxcell

OCTOBER 26, 2023

Introduction For businesses looking to revamp their digital assets holding capacity, enterprise data warehouses are great tools to get started with. Modern EDWs help these enterprises achieve data consistency, efficiency, and scalability. What is an Enterprise Data Warehouse? What is an Enterprise Data Warehouse?

Enterprise 52

Enterprise Data Technical Review Analytics 52

Apiumhub

APRIL 5, 2022

Apiumhub has become a Media partner of the Data Innovation Summit – the most influential data, AI and advanced analytics event in the Nordics and beyond. . Data Innovation Summit. Data Innovation Summit 2022 edition at glance. Save the dates: 5th & 6th May, 2022. . Save the dates: 5th & 6th May, 2022. .

Innovation 52

Innovation Data Artificial Inteligence Case Study 52

Actian

AUGUST 7, 2019

Over the past few years, we’ve seen an increasing trend of regional governments applying unique restrictions and controls on where data is stored and how it is managed for users and businesses in their jurisdiction. The EU and Japan have recently imposed some strict rules about data export. Distributed Architecture of the Cloud.

System 40

System Cloud Data Data Center 40

Altexsoft

OCTOBER 2, 2020

Data is a valuable source that needs management. If your business generates tons of data and you’re looking for ways to organize it for storage and further use, you’re at the right place. Read the article to learn what components data management consists of and how to implement a data management strategy in your business.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Capgemini

MAY 20, 2020

Retailers have long been hampered by their data infrastructures, first by structural limitations inherent in data warehouses and then the expense and lack of agility of newer big-data systems. Releasing capital from an aging data infrastructure .

Infrastructure 64

Infrastructure Data Retail Analytics 64

Altexsoft

JUNE 25, 2019

Being at the top of data science capabilities, machine learning and artificial intelligence are buzzing technologies many organizations are eager to adopt. However, they often forget about the fundamental work – data literacy, collection, and infrastructure – that must be done prior to building intelligent data products.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

CTOvision

MAY 30, 2014

Given all the data DigitalGlobe collects is unclassified it enables broad sharing across the community. I recently had an opportunity to learn about a less well known but very exciting part of DigitalGlobe– their Insight line of business. DigitalGlobe calls this effort Geospatial Big Data Analytics. The result?

Big Data 113

Big Data Analytics Data Government 113

Mobilunity

DECEMBER 21, 2022

One of the essential goals of sourcing and using data is to help businesses make better decisions, so they can be at the top of their industries. To do this effectively, many businesses employ data scientists. These experts help to collect, visualize, and make sense of all kinds of data correctly. Agriculture.

Data 52

Data How To Machine Learning Artificial Inteligence 52

Cloudera

NOVEMBER 12, 2020

Traditional on-premise architectures, which create a fixed, finite set of resources, forces every business request for new insight to be a crazy resource balancing act, coupled with long wait times, or a straight-up no, it cannot be done. Typical scenarios for most customer data centers. We see it everywhere. A solution.

Data Center 101

Data Center Cloud Data Policies 101

Datavail

JANUARY 23, 2020

In 2018, TechTarget predicted Oracle’s future lay in automation and the cloud. Since that time, the company’s activities fell in line with the prognostication: It expanded its IaaS platform by improving across the board security features, such as data encryption and protection against cyber attacks. The Future IS Today.

Database Administration 52

Database Administration Machine Learning Artificial Inteligence Analysis 52

Altexsoft

FEBRUARY 8, 2021

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

RapidValue

MAY 15, 2019

What does AWS say to the other competing cloud computing services out there? With around one million active users scattered around 190 countries and 8000 partner network members, Amazon Web Services continues to reign the cloud. AWS has 5 times more deployed cloud structure as their next 14 competitors have in aggregate.

AWS 75

AWS Cloud Load Balancer Infrastructure 75

Altexsoft

OCTOBER 24, 2019

Our brains store trillions of bits of data about past events and leverage those memories each time we face the need to make a decision. Similar to humans companies generate and collect tons of data about the past. And this data can be used to support decision making. And one of the most important ones is a data warehouse.

Architecture 50

Architecture Enterprise Data Technical Review 50

Altexsoft

APRIL 23, 2019

Any kind of business operates with some amount of data. And these data channels serve as a pair of eyes for executives, supplying them with the analytical information of what is going on with a business and the market. Making data-driven decisions requires a 360° view of all the aspects of your business, even those you didn’t think of.

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

Datavail

SEPTEMBER 8, 2022

As organizations accumulate more and more data, the software and services they use to manage this data are also expanding. Big data presents challenges in terms of volume, velocity, and variety—but that doesn’t mean you have to suffer from a bloated IT ecosystem to address these challenges.

Data 40

Data Nonprofit Quality Assurance Education 40

Cloudera

AUGUST 28, 2018

Drum roll… Starting from well over 100 nominations, we are excited to announce the finalists for this year’s Data Impact Awards ! Two weeks from today we will announce the winners at the Data Impact Awards Celebration on Tuesday, 11th September the week of Strata Data 2018 , New York. ” – Cornelia Levy-Bencheton.

Meeting 63

Meeting Data Technical Review Machine Learning 63

Abhishek Tiwari

DECEMBER 27, 2017

ETL refers to extract, transform, load and it is generally used for data warehousing and data integration. With the arrival of new cloud-native tools and platform, ETL is becoming obsolete. There are several emerging data trends that will define the future of ETL in 2018. Unified data management architecture.

Trends 49

Trends Artificial Inteligence Data Big Data 49

Mobilunity

AUGUST 3, 2021

Big Data is a collection of data that is large in volume but still growing exponentially over time. It is so large in size and complexity that no traditional data management tools can store or manage it effectively. While Big Data has come far, its use is still growing and being explored. Who is Big Data Engineer?

Big Data 52

Big Data Data Engineering Engineering Data 52

Altexsoft

APRIL 13, 2023

Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions. But of course, you can only share data you have yourself – so higher visibility leads to higher transparency. Let’s look at what they say in recent surveys.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Abhishek Tiwari

DECEMBER 22, 2017

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. Then we perform frequent batch ETL from application databases to a data warehouse. Classic ETL. Stateless and elastic.

Storage 40

Storage Big Data Google Cloud Analysis 40

Actian

AUGUST 27, 2019

Last week we announced the findings of the Actian Datacast 2019: Hybrid Data Trends Snapshot , sharing insights into the current challenges as well as opportunities for data-driven enterprises around managing hybrid data environments. Data is being generated in the enterprise that is not being put to good, strategic use.

Data 40

Data Analytics Big Data Systems Review 40

Actian

AUGUST 27, 2019

Last week we announced the findings of the Actian Datacast 2019: Hybrid Data Trends Snapshot , sharing insights into the current challenges as well as opportunities for data-driven enterprises around managing hybrid data environments. Data is being generated in the enterprise that is not being put to good, strategic use.

Data 40

Data Analytics Big Data Systems Review 40