AWS Big Data

JUNE 29, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud that delivers powerful and secure insights on all your data with the best price-performance. With Amazon Redshift, you can analyze your data to derive holistic insights about your business and your customers.

Data Warehouse 64

Data Warehouse Dashboards Testing Visualization 64

AWS Big Data

JULY 29, 2024

Amazon DataZone is a powerful data management service that empowers data engineers, data scientists, product managers, analysts, and business users to seamlessly catalog, discover, analyze, and govern data across organizational boundaries, AWS accounts, data lakes, and data warehouses.

Data Warehouse 91

Data Warehouse Sales Metadata Publishing 91

erwin

JUNE 7, 2022

Designing databases for data warehouses or data marts is intrinsically much different than designing for traditional OLTP systems. Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Figure 1: Pricing for a 4 TB data warehouse in AWS.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

Cloudera

NOVEMBER 25, 2020

How could Matthew serve all this data, together , in an easily consumable way, without losing focus on his core business: finding a cure for cancer. The Vision of a Discovery Data Warehouse. A Discovery Data Warehouse is cloud-agnostic. Access to valuable data should not be hindered by the technology.

Data Warehouse 59

Data Warehouse Unstructured Data Analytics Visualization 59

IBM Big Data Hub

MAY 9, 2023

With watsonx.data , businesses can quickly connect to data, get trusted insights and reduce data warehouse costs. A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments. Savings may vary depending on configurations, workloads and vendors.

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

AWS Big Data

AUGUST 1, 2024

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities. This makes sure the new data platform can meet current and future business goals.

Data Warehouse 100

Data Warehouse KPI Optimization Cost-Benefit 100

CIO Business Intelligence

SEPTEMBER 21, 2022

CMOs need to look for ways to leverage customer data to deliver superior and highly tailored experiences to customers. CIOs need to ensure that the business’ use of data is compliant, secure, and done according to best practices. They need to assure the board that the risk from data is minimised.

Risk 105

Risk Data Lake Marketing Data Warehouse 105

erwin

JUNE 26, 2020

Given the value this sort of data-driven insight can provide, the reason organizations need a data catalog should become clearer. It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., Clearly documents data catalog policies, rules and shares information assets.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

CIO Business Intelligence

NOVEMBER 23, 2022

In terms of business benefits, respondents cited improvements with the alignment of capabilities with strategy, business investment decisions, compliance and risk management, business processes, collaboration between functions, business insights, business agility and continuity , and a faster time to market and innovation. Data warehouse.

Enterprise 128

Enterprise Cost-Benefit Digital Transformation Strategy 128

AWS Big Data

AUGUST 15, 2024

This is particularly crucial in the context of business data catalogs using Amazon DataZone , where users rely on the trustworthiness of the data for informed decision-making. As the data gets updated and refreshed, there is a risk of quality degradation due to upstream processes.

Data Quality 107

Data Quality Visualization Metadata Key Performance Indicator 107

Cloudera

OCTOBER 13, 2020

Recently, my colleague published a blog build on your investment by Migrating or Upgrading to CDP Data Center , which articulates great CDP Private Cloud Base features. This utility raises awareness of clusters that may present risks during an upgrade to CDP due to, for example, an unsupported of the operating system currently in use.

Risk 114

Risk Software Management Publishing 114

Smart Data Collective

JANUARY 22, 2020

What measures are essential to keep your sensitive data confidential? Risks Associated with Cloud Computing. When a cloud service vendor supplies your business and stores your corporate data, you place your business in the partner’s hands. Data Security. Solutions to Decrease Cloud Computing Risks. Encryption.

Data Processing 74

Data Processing Measurement Risk Data Warehouse 74

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. This is also the point where data quality rules should be reviewed again. million a year.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Cloudera

MAY 13, 2021

Since my last blog, What you need to know to begin your journey to CDP , we received many requests for a tool from Cloudera to analyze the workloads and help upgrade or migrate to Cloudera Data Platform (CDP). WM saves time and reduces risks during upgrades or migrations. Data Engineering jobs (optional). Batched and scripted.

Management 73

Management Data Warehouse Interactive Reporting 73

Sisense

JUNE 30, 2020

The data drawn from power visualizations comes from a variety of sources: Structured data , in the form of relational databases such as Excel, or unstructured data, deriving from text, video, audio, photos, the internet and smart devices. And the data is as granular as the patient lists at individual family doctors’ surgeries.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

CIO Business Intelligence

MARCH 16, 2022

Over time we’ve started using cloud to support business operations, including Xero for financial accounting, NeupartOne for risk and compliance and PureCloud for our call centre telephony. This phase includes the migration of our data warehouse and business intelligence capabilities, using Synapse and PowerBI respectively.

Insurance 105

Insurance Cost-Benefit Data Processing Strategy 105

AWS Big Data

JANUARY 31, 2023

In addition, data governance is required to comply with an increasingly complex regulatory environment with data privacy (such as GDPR and CCPA) and data residency regulations (such as in the EU, Russia, and China). Amazon Redshift is a fully-managed, petabyte-scale data warehouse service in the AWS Cloud.

Data Lake 90

Data Lake Data Governance Data Architecture Machine Learning 90

Cloudera

MAY 31, 2023

There are many benefits to these new services, but they certainly are not a one-size-fits-all solution, and this is most true for commercial enterprises looking to adopt generative AI for their own unique use cases powered by their data. Cloudera is the only company that offers an open data lakehouse in both public and private clouds.

Enterprise 74

Enterprise Data Processing Machine Learning Experimentation 74

Cloudera

OCTOBER 3, 2018

Google built an innovative scale-out platform for data storage and analysis in the late 1990s and early 2000s, and published research papers about their work. The tremendous growth in both unstructured and structured data overwhelms traditional data warehouses. First, remember the history of Apache Hadoop.

Uncertainty 75

Uncertainty IoT Risk Reporting 75

Cloudera

NOVEMBER 27, 2023

Cloud-only solutions will not meet the needs for many use cases and run the risk of creating additional barriers for organizations. Cloudera is embracing Kubernetes in our Data in Motion stack, making our Flink PaaS offering more portable, scalable and suitable for data ops. Cloudera perspective: The market has evolved.

Advertising 84

Advertising Data Lake Data Warehouse ROI 84

Peter James Thomas

JUNE 20, 2019

Some of these are referenced by The Atlantic in an article (which, in turn, cites a study published by The Royal Society entitled The impact of the ‘open’ workspace on human collaboration ): “If you’re under 40, you might have never experienced the joy of walls at work. For example in 20 Risks that Beset Data Programmes. . [7].

Cost-Benefit 55

Cost-Benefit Data Warehouse Data Science Consulting 55

Jet Global

FEBRUARY 25, 2025

Stronger Security Outdated or irrelevant data is a liability and cleaning house reduces risks. But what happens when businesses dont clean their data? Lets take a closer look at just how expensive dirty data can be. How Much is Dirty Data Costing You? The costsboth financial and operationalcan add up fast.

Cost-Benefit 52

Cost-Benefit Data Collection Finance Reporting 52

Alation

FEBRUARY 13, 2020

We also have some primary insurance entities in the group, but the main thing about reinsurance is that we’re taking care of the big and complex risks in the world. Andreas Kohlmaier : Data has always been a core thing that our business users have worked with for more than one hundred years to really understand risk.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

Jet Global

DECEMBER 23, 2020

In other words, software publishers have sought to minimize the level of disruption for existing ERP customers while modernizing business applications, increasing integration, and adding important new functionality. At the same time, you may not want to lose the ability to report against historical data.

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Recreation/Entertainment 52

Alation

APRIL 6, 2023

Spreadsheets are not typically developed and managed for enterprise use, which opens the door to risk from malicious actors, as well as human errors. A “Value at Risk” (VaR) model operated on a series of spreadsheets, which were built manually, via copy and paste. Leaders seek to use strategic data with confidence more often.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

Laminar Security

MAY 3, 2023

That’s particularly concerning considering that 60% of worldwide corporate data was stored in the cloud during that same period. So while the cloud has become an integral part of doing business, data security in the cloud is lagging behind. At Laminar, we refer to those “unknown data repositories” as shadow data.

Management 40

Management Risk Risk Management Data Processing 40

AWS Big Data

JUNE 6, 2023

However, these tools often require manual processes of data discovery and expertise in data engineering and coding. AWS Glue Data Quality is a new feature of AWS Glue that measures and monitors the data quality of Amazon Simple Storage Service (Amazon S3)-based data lakes, data warehouses, and other data repositories.

Data Quality 83

Data Quality Data-driven Data Lake Metrics 83

Smarten

NOVEMBER 22, 2017

Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.

Analytics 40

Analytics IT Business Intelligence Visualization 40

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 45

Machine Learning Big Data Data Science Data Warehouse 45

Jet Global

MAY 27, 2021

However, fear of the unknown has left many companies afraid to implement a new reporting tool, yet the risk of staying with Discoverer increases day by day: Discoverer extended support ended June 2017. The longer you delay your move away from Discoverer, the greater the risk you’ll be left high and dry.

Reporting 52

Reporting Cost-Benefit Dashboards Finance 52

Domino Data Lab

APRIL 3, 2019

Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Most of the data management moved to back-end servers, e.g., databases. Agile Manifesto get published.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

Alation

JUNE 14, 2023

Anyone building anything net-new publishes to Snowflake in a database driven by the use case and uses our commoditized web-based GUI ingestion framework. It’s also the mechanism that brings data consumers and data producers closer together. The focus areas of these teams include: 1. The process is simplified.

Data-driven 52

Data-driven Finance Uncertainty Data Warehouse 52

Andrew White

JANUARY 11, 2021

This was for the Chief Data Officer, or head of data and analytics. Gartner also published the same piece of research for other roles, such as Application and Software Engineering. But we also know not all data is equal, and not all data is equally valuable. Some data is more a risk than valuable.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

AWS Big Data

JANUARY 24, 2023

In this post, you will learn how to build a serverless analytics application using Amazon Redshift Data API and Amazon API Gateway WebSocket and REST APIs. The Data API simplifies access to Amazon Redshift because you don’t need to configure drivers and manage database connections.

Analytics 62

Analytics Data-driven Management Reporting 62

O'Reilly on Data

SEPTEMBER 11, 2019

Another related term, “data pipeline” (at No. Data engineering is not a new thing, however. Since 1977, for example, the Institute of Electrical and Electronics Engineers (IEEE) has published the Data Engineering Bulletin , a quarterly journal that focuses on engineering data for use with database systems [2].

IoT 23

IoT Big Data Data Warehouse Uncertainty 23

Domino Data Lab

JULY 22, 2019

The data governance, however, is still pretty much over on the data warehouse. Toward the end of the 2000s is when you first started getting teams and industry, as Josh Willis was showing really brilliantly last night, you first started getting some teams identified as “data science” teams.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

FEBRUARY 4, 2019

In other words, your talk didn’t quite stand out enough to put onstage, but you still get “publish or perish” credits for presenting. Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. This is not that.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66