Datavail

DECEMBER 2, 2021

Snowflake took the market by storm when it introduced its innovative cloud-based data warehouse technology in 2014. 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.

Data 98

Data Analytics Azure Storage 98

CIO

SEPTEMBER 21, 2023

AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. The advent of gen AI changed everything, and the pace of that change is like nothing we’ve seen before. billion to the global economy.

Artificial Inteligence 325

Artificial Inteligence Enterprise Trends ChatGPT 325

Cloudera

JUNE 2, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. Why does every organization need it when using a modern data stack?

System 105

System Enterprise Data Cloud 105

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. Instead, you face runaway operational costs.

Data 98

Data Technical Review Storage Systems Review 98

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . The Data Scientist.

Data 98

Data Virtualization Banking Data Engineering 98

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Data 110

Data Artificial Inteligence Analytics Machine Learning 110

Perficient

AUGUST 3, 2023

Oracle Cloud ERP offers several built-in reporting capabilities to address the needs for operational reporting. Implementing more elaborate reporting use cases though requires that we extract data out of Oracle Cloud ERP. As a columnar database, Oracle ADW is optimized for batch-type querying and data processing. How is it done?

Cloud 52

Cloud Data Storage Infrastructure 52

Altexsoft

JANUARY 14, 2022

RPA is already changing the healthcare sector and has implementations in insurance operations. What is RPA? For instance, data entry in a supply chain process is a prime candidate for RPA, since it frees the human worker to conduct value-added work. First, there’s the issue of data silos.

Technical Review 111

Technical Review Storage Analytics Systems Review 111

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

Cloudera

NOVEMBER 12, 2020

Cloud has given us hope, with public clouds at our disposal we now have virtually infinite resources, but they come at a different cost – using the cloud means we may be creating yet another series of silos, which also creates unmeasurable new risks in security and traceability of our data.

Data Center 103

Data Center Cloud Data Policies 103

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. In part one of this blog, I examine the cost of legacy systems and introduce an answer to th at problem. .

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Infrastructure Data Retail Analytics 64

Cloudera

OCTOBER 11, 2022

I recommend you read the entire piece, but to me the key takeaway – AI at scale isn’t magic, it’s data – is reminiscent of the 1992 presidential election, when political consultant James Carville succinctly summarized the key to winning – “it’s the economy”. It’s because of data. . Data science needs analytics.

Data 95

Data Analytics Government Cloud 95

Xebia

AUGUST 15, 2023

As data projects and teams grow in complexity and volume, maintaining data integrity becomes increasingly challenging. This is where data contracts come into play, providing the tools for ensuring data quality and consistency. Now, let’s say the marketing team relies on this customer data to run targeted campaigns.

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Data Software Review Testing Cloud 130

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. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts.

Cloud 116

Cloud Data Government Strategy 116

Altexsoft

APRIL 5, 2021

This is a guest article by Fazeel Khan from Data Ladder. If you look up the word “data” on the internet, you’ll find tons of different definitions. But the one we’re discussing in this article is the definition of data as unprocessed or raw information – specifically in business use cases. Suitable for the warehouse environment.

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Company Data Technical Review Analysis 78

Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. Problem with too many snapshots Everytime a write operation occurs on an Iceberg table, a new snapshot is created.

Strategy 57

Strategy Travel Groups Data 57

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. We’ve also learned a bit about what can be done to reduce the lift involved.

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Healthcare AWS Analytics Pharmaceuticals 64

Perficient

FEBRUARY 10, 2023

This blog will demonstrate how to use the Data Migration Service to move data from Amazon RDS PostgreSQL to Amazon Redshift. This blog will demonstrate how to use the Data Migration Service to move data from Amazon RDS PostgreSQL to Amazon Redshift. What is Amazon Redshift? Choose Create cluster.

Data 64

Data AWS Cloud Backup 64

Apps Associates

JULY 28, 2022

This blog introduces you to Oracle Cloud Infrastructure (OCI) Data Integration service and reviews how to setup Data Integration workspace in OCI. I love Data Integration in OCI and hope to get you excited about this great product as well. Data immersive user experience to boost productivity. OCI Data Integration.

Infrastructure 52

Infrastructure Cloud Data Linux 52

Cloudera

JANUARY 27, 2021

We believe security is the cornerstone of any legitimate data platform, and we’re excited to announce that Cloudera has successfully achieved SOC 2 Type II certification for Cloudera Data Platform (CDP) Public Cloud. Data backup and disaster recovery. What’s Next? Why is SOC 2 Important?

Cloud 103

Cloud Disaster Recovery Software Review Technical Review 103

Cloudera

OCTOBER 6, 2022

Everyone has their own ideas about what digital transformation means, so I decided to look up a few definitions. . CIO blog post : “Digital transformation is a foundational change in how an organization delivers value to its customers.”. A major goal of these projects is cost reduction; it’s not sexy, it’s pragmatic.

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Technical Review Compliance Machine Learning Artificial Inteligence 90

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 83

Data Architecture Analytics Cloud 83

Cloudera

OCTOBER 19, 2021

Airflow has been adopted by many Cloudera Data Platform (CDP) customers in the public cloud as the next generation orchestration service to setup and operationalize complex data pipelines. Long-tail of operators. Although Airflow offers 100s of operators, users tend to use only a subset of them.

Data Engineering 119

Data Engineering Engineering Data Virtualization 119

Actian

FEBRUARY 5, 2020

Are you considering a hybrid cloud data warehouse for your company? Do you know what features to look for? Here is a list of the top must-have features of a hybrid cloud data warehouse solution. Your hybrid cloud data warehouse should support multi-cloud deployment. Multi-Cloud Deployment.

Cloud 40

Cloud Data Storage Analytics 40

TIBCO - Connected Intelligence

MAY 13, 2020

According to recent reports, even though companies are gathering and storing a lot of data, most companies don’t consider themselves “data-driven.” The biggest obstacle cited to becoming data-driven is that they lack the right software tools to collect, synthesize, manage, and govern their data.

Data 50

Data Government Analytics Infrastructure 50

Cloud That

NOVEMBER 16, 2022

What is Amazon SageMaker Data Wrangler? Amazon SageMaker Data Wrangler Core Functionalities. Data Transformation using SageMaker Data Wrangler. So, to handle the preprocessing steps, Amazon SageMaker has a working functionality to preprocess the data which is known as SageMaker Data Wrangler.

Data 68

Data Case Study Storage Cloud 68

Actian

FEBRUARY 3, 2020

A few months ago, Gartner published an update on the database market, which is highlighted in Adam Ronthal’s blog “ There is only One DBMS Market ” and made a rather profound declaration – the database markets have collapsed. Why is this important you might ask, and what does it have to do with my data warehouse?

Marketing 40

Marketing Data Analytics Cloud 40

OTS Solutions

AUGUST 16, 2023

Also Read: Security and Compliance in Enterprise Applications The Role of AI and ML in Application Modernization Overview of AI and ML Artificial Intelligence (AI) and Machine Learning (ML) are two interrelated technologies that enable computers to learn, analyze and make decisions based on data without explicit programming.

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Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

Also Read: Security and Compliance in Enterprise Applications The Role of AI and ML in Application Modernization Overview of AI and ML Artificial Intelligence (AI) and Machine Learning (ML) are two interrelated technologies that enable computers to learn, analyze and make decisions based on data without explicit programming.

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Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

Bernd Rucker

MAY 25, 2022

Let’s sort this out in today’s blog post by looking at the specifics of the components, sketching a path to put Camunda 8 into production without the need to pay us any money, and the difference between open source and source-available licenses. Blue : This software is available but only free for non-production use.

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Open Source Software Review Development Team Review Technical Review 98

Cloudera

DECEMBER 20, 2022

Efficient use of data will therefore be critical to improving the competitiveness and productivity of assets, both traditional and renewable generation. Data efficiency in renewables. Effective use of data can have a direct impact on the cash flow of wind and solar generation companies in areas such as real-time decision making.

Energy 84

Energy Analytics Data Machine Learning 84

Openxcell

APRIL 26, 2023

Moreover, they multitask and handle plenty of customer & business data. In this blog, let’s look at how e-Commerce is exponentially growing because of the implementation of Artificial Intelligence in various facets. What is e-Commerce, and how can we use AI with it? What is the market size of AI in e-Commerce?

Artificial Intelligence 52

Artificial Intelligence Artificial Inteligence Technical Review Mobile 52

Cloudera

FEBRUARY 28, 2019

This story gives a look at how HelloFresh is becoming a more data centric organization to better serve its customers. For HelloFresh, data is key to understanding customer preferences, including what recipes, ingredients, and meals each household likes. Kai von Grambusch, Director, Data & Analytics, HelloFresh.

Industry 55

Industry AWS Business Intelligence Analytics 55

PowerSchool

SEPTEMBER 8, 2021

Data-driven decision-making is not a new theme in education, having been referenced for nearly two decades in school s and districts across the U.S. Yet having access to this wealth of data about our students is not enough. We must learn to interpret the information. We should compare it to historical markers.

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Culture Data Education Nonprofit 68

Perficient

NOVEMBER 30, 2022

He also mentioned how Airbnb was better able to weather the downturn in demand in the hospitality industry during the COVID-19 pandemic because they were an early adopter of the cloud, which allowed them to operate more efficiently and be more agile. The cloud is more cost-effective, and many customers are saving 30% or more,“ he said. “In

AWS 64

AWS Serverless Healthcare Analytics 64

Datavail

NOVEMBER 22, 2022

MySQL HeatWave is expanding through Lakehouse capabilities, which combine the functionalities of data lakes and data warehouses. MySQL HeatWave Lakehouse supports processing and querying up to 400 TB of data in the object store, with a cluster that scales up to 512 nodes. Property graph analysis of operational data.

Cloud 52

Cloud Azure Machine Learning Artificial Inteligence 52

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 54

Analytics Trends Data Big Data 54