Cloudera

JANUARY 26, 2022

Network operating systems let computers communicate with each other; and data storage grew—a 5MB hard drive was considered limitless in 1983 (when compared to a magnetic drum with memory capacity of 10 kB from the 1960s). The amount of data being collected grew, and the first data warehouses were developed.

Data Processing 82

Data Processing IoT Cost-Benefit Digital Transformation 82

BizAcuity

FEBRUARY 1, 2019

Additionally, 65% of event planners have an increased event marketing budget for 2018. The solution here is to consolidate all of this data, gathered from different points at different times along the course of the event and store it in one consolidated form in a Data Warehouse. billion US dollars in 2016, up from 29.3

Data Warehouse 73

Data Warehouse B2B Business Intelligence Data-driven 73

AWS Big Data

MAY 10, 2023

A write-back is the ability to update a data mart, data warehouse, or any other database backend from within BI dashboards and analyze the updated data in near-real time within the dashboard itself. AnyCompany currently uses Amazon Redshift as their enterprise data warehouse platform and QuickSight as their BI solution.

Dashboards 72

Dashboards Data Warehouse Visualization Data Processing 72

IBM Big Data Hub

AUGUST 28, 2023

Data analytics in the publishing industry With such a widespread global operation, Macmillan Publishers has a long history of investing in technology that can source deep analytical information about sales, inventory and transportation of their titles in the market.

Publishing 54

Publishing Analytics Business Intelligence Operational Reporting 54

BizAcuity

SEPTEMBER 5, 2019

But more importantly, from a business and strategic viewpoint, it means that casinos are capturing consumer data into data warehouses, at different points inside the casino – the same data that is crucial for a host of purposes. These systems are amassing information into independent data warehouses.

ROI 75

ROI Data Warehouse Advertising Data Processing 75

Occam's Razor

APRIL 25, 2011

and meet many many many executives and hear about their digital marketing strategies, challenges and outcomes. But maybe the issue is that you (and the Marketers and Leaders. Not spending 15% of your Marketing budget, every month, on experimenting with new techniques / channels / ideas. This post is to solve that problem.

Marketing 126

Marketing Measurement Metrics Testing 126

BizAcuity

SEPTEMBER 5, 2019

But more importantly, from a business and strategic viewpoint, it means that casinos are capturing consumer data into data warehouses, at different points inside the casino – the same data that is crucial for a host of purposes. These systems are amassing information into independent data warehouses.

ROI 73

ROI Data Warehouse Advertising Data Processing 73

Smart Data Collective

NOVEMBER 18, 2020

Data Science is used in different areas of our life and can help companies to deal with the following situations: Using predictive analytics to prevent fraud Using machine learning to streamline marketing practices Using data analytics to create more effective actuarial processes. Where to Use Data Mining? Use Kaggle.

Data mining 143

Data mining Data Science Informatics Statistics 143

Cloudera

SEPTEMBER 2, 2020

In short, CDP Private Cloud is a game-changer for Cloudera partners as it provides opportunities to help their customers modernize their data platform by breaking up monolithic architectures without leaving their data centers! . Over a third of these Enterprises are actively executing on a strategy to move to hybrid IT.

Cost-Benefit 65

Cost-Benefit Data Warehouse Data Lake Machine Learning 65

Alation

APRIL 14, 2023

In “The modern data stack is dead, long live the modern data stack!” the presenters elaborated on the common pain points of the cloud data warehouse today and predicted what it may look like in the future. So, how can a data catalog support the critical project of building data pipelines?

Data Warehouse 52

Data Warehouse Data-driven Digital Transformation Metadata 52

Sisense

OCTOBER 10, 2019

However, with AWS and cloud solutions for everything, one of the main concerns that data engineers have today is keeping up with trends in these solutions. And because Amazon was first on the scene with AWS (and still has a huge market share), that means that engineers often need to be on top of what Amazon is up to. That’s the past.

Data Processing 60

Data Processing Data Warehouse Digital Transformation Software 60

datapine

MAY 21, 2019

Armed with BI-based prowess, these organizations are a testament to the benefits of using online data analysis to enhance your organization’s processes and strategies. In addition to increasing the price of deployment, setting up these data warehouses and processors also impacted expensive IT labor resources.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards Slice and Dice 183

Cloudera

SEPTEMBER 29, 2022

Note that the actual technologies used to generate, store, and query the actual data may be varied — and are not even prescribed by data mesh. It is also agnostic to where the different domains are hosted. Data fabric defined. Corresponding to the data mesh example in Figure 4, D1, D2 are tables in a data warehouse.

Data Architecture 73

Data Architecture Metadata Data Warehouse Sales 73

BizAcuity

SEPTEMBER 5, 2019

But more importantly, from a business and strategic viewpoint, it means that casinos are capturing consumer data into data warehouses, at different points inside the casino – the same data that is crucial for a host of purposes. These systems are amassing information into independent data warehouses.

ROI 40

ROI Data Warehouse Advertising Data Processing 40

BizAcuity

SEPTEMBER 5, 2019

But more importantly, from a business and strategic viewpoint, it means that casinos are capturing consumer data into data warehouses, at different points inside the casino – the same data that is crucial for a host of purposes. These systems are amassing information into independent data warehouses.

ROI 40

ROI Data Warehouse Advertising Data Processing 40

datapine

MARCH 31, 2022

On the flip side, if you enjoy diving deep into the technical side of things, with the right mix of skills for business intelligence you can work a host of incredibly interesting problems that will keep you in flow for hours on end. This could involve anything from learning SQL to buying some textbooks on data warehouses.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

datapine

SEPTEMBER 29, 2022

6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes. Industry-wide, the positive ROI on quality data is well understood. Why You Need Data Quality Control: Use Case.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Sisense

OCTOBER 6, 2020

Let’s consider the differences between the two, and why they’re both important to the success of data-driven organizations. Digging into quantitative data. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?” First, data isn’t created in a uniform, consistent format.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Paul Blogs on BI

JANUARY 12, 2018

SAP’s Analytics for Cloud (fondly known as SAC and renamed twice in the last two years) has been evolving and hopes to make an impression in the market this year. The transition of the BO application to being Cloud hosted is not difficult but there are many considerations, especially around security, that need to be taken into account.

Data Warehouse 45

Data Warehouse Data Processing Business Intelligence Visualization 45

IBM Big Data Hub

JULY 6, 2023

Data from various sources, collected in different forms, require data entry and compilation. That can be made easier today with virtual data warehouses that have a centralized platform where data from different sources can be stored. One challenge in applying data science is to identify pertinent business issues.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Cloudera

MAY 2, 2018

A Cloudera contingent, including Business Development, Marketing, Sales, and Software Engineering just got back from Qlik Qonnections in Orlando, Florida where the vibe to #DisruptEverything was strong! Global Technology Partner of the Year.

Analytics 44

Analytics Business Intelligence Data Science Data Processing 44

Cloudera

SEPTEMBER 12, 2018

Connecting internal, external and unconventional data (such as sensor and video data) helps the organization create an end-to-end product performance strategy, while common governance and security enable self-service capabilities for business users. Modern Data Warehousing: Barclays (nominated together with BlueData ).

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

Occam's Razor

SEPTEMBER 9, 2013

I'm so excited about this because we can finally focus on people, multiple visits by the same person, the multiple media/marketing touch points for the same person and do some pretty cool cohort analysis. Big difference to your analysis/marketing/smartness, right? The ability to segment Visitors, and not just Visits or Hits!

Analytics 145

Analytics Metrics Marketing Reporting 145

AWS Big Data

OCTOBER 20, 2023

The connectors were only able to reference hostnames in the connector configuration or plugin that are publicly resolvable and couldn’t resolve private hostnames defined in either a private hosted zone or use DNS servers in another customer network. Many customers ensure that their internal DNS applications are not publicly resolvable.

Data Processing 83

Data Processing Snapshot Data Warehouse Management 83

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

DataKitchen

APRIL 13, 2021

Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity. As a result, vendors that market DataOps capabilities have grown in pace with the popularity of the practice.

Testing 307

Testing Machine Learning Consulting Data Quality 307

AWS Big Data

FEBRUARY 19, 2024

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. Thousands of customers use Amazon Redshift read data sharing to enable instant, granular, and fast data access across Redshift provisioned clusters and serverless workgroups.

Cost-Benefit 81

Cost-Benefit Data Warehouse Marketing Interactive 81

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1%

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

BizAcuity

MAY 10, 2022

The cloud market is well on track to reach the expected $495 billion dollar mark by the end of 2022. Cloud washing is storing data on the cloud for use over the internet. The following timeline shows how the young cloud market blew almost as soon as it hit the markets. This gap sealed the domination of AWS in the market.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

CIO Business Intelligence

MARCH 16, 2022

King Price, a South Africa-based, privately held short-term insurance provider, were able to radically transform their business strategy, increasing system resilience, customer expansion and market adaptability in the process of adopting cloud technology. CIO Africa: How did you identify the specific project requirements?

Insurance 105

Insurance Cost-Benefit Data Processing Strategy 105

CIO Business Intelligence

JANUARY 20, 2023

Trusted and governed data: Modern BI platforms can combine internal databases with external data sources into a single data warehouse, allowing departments across an organization to access the same data at one time.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

CIO Business Intelligence

SEPTEMBER 22, 2023

Deploying a DMP can be a great way for companies to navigate a business world dominated by data, and these platforms have become the lifeblood of digital marketing today. In these instances, data feeds come largely from advertising channels, and the reports they generate are designed to help marketers spend wisely.

Management 105

Management Advertising Data Lake Sales 105

Occam's Razor

DECEMBER 3, 2008

This role in the vendor world you get to go to various clients and show off cool detailed stuff that your VP of Marketing consistently screwed up so far and answer technical questions from wise guys. And still rare but sometimes: Manager, Web Analytics Data Warehouse (Steven I did not forget you!). Manager, Website Analytics.

Analytics 115

Analytics Consulting Metrics Reporting 115

Cloudera

OCTOBER 25, 2022

Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses. They combine the best of both worlds: flexibility, cost effectiveness of data lakes and performance, and reliability of data warehouses.”. Host-based security.

Data Processing 52

Data Processing Data Lake Cost-Benefit Risk 52

CIO Business Intelligence

JUNE 9, 2022

Lately, however, the term has been adopted by marketing teams, and many of the data management platforms vendors currently offer are tuned to their needs. In these instances, data feeds come largely from various advertising channels, and the reports they generate are designed to help marketers spend wisely.

Management 144

Management Advertising Data Lake Sales 144

datapine

JULY 1, 2020

Moreover, a host of ad hoc analysis or reporting platforms boast integrated online data visualization tools to help enhance the data exploration process. Retail: Ad hoc data analysis proves particularly effective in loss prevention in the retail sector. public URL will enable you to send a simple link.

Reporting 260

Reporting Cost-Benefit Dashboards Visualization 260

IBM Big Data Hub

SEPTEMBER 27, 2023

The attack-path view shows which hosts and assets have been impacted, while the network activity view shows if data has leaked and lateral movement has happened where malicious actions have taken place. You get near real-time visibility and insights from your ingested data.

Cost-Benefit 105

Cost-Benefit OLAP Dashboards Visualization 105