Alation

APRIL 14, 2023

People were familiar with the value of a data catalog (and the growing need for data governance ), though many admitted to being somewhat behind on their journeys. In this blog, I’ll share a quick high-level overview of the event, with an eye to core themes. In “The modern data stack is dead, long live the modern data stack!”

Data Warehouse 52

Data Warehouse Data-driven Digital Transformation Metadata 52

Cloudera

SEPTEMBER 2, 2020

Recently, Cloudera announced the release of Cloudera CDP Private Cloud, delivering the final component of our hybrid cloud strategy. Additionally, lines of business (LOBs) are able to gain access to a shared data lake that is secured and governed by the use of Cloudera Shared Data Experience (SDX). in an on-premise environment.

Cost-Benefit 69

Cost-Benefit Data Warehouse Data Lake Machine Learning 69

IBM Big Data Hub

NOVEMBER 8, 2023

At the beginning of the year, we laid out a new strategy for IBM Power under the leadership of Ken King, who will be retiring by the end of 2023 after forty years with IBM. We also have a new release of AIX — AIX 7.3 You can learn more about this latest release on the AIX webcast on November 14.

Strategy 93

Strategy Data-driven Cost-Benefit Digital Transformation 93

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Solution overview Amazon Redshift is an industry-leading cloud data warehouse.

Data Warehouse 86

Data Warehouse Data Lake Cost-Benefit Structured Data 86

Alation

JULY 30, 2021

A part of that journey often involves moving fragmented on-premises data to a cloud data warehouse. You clearly shouldn’t move everything from your on-premises data warehouses. Otherwise, you can end up with a data swamp. This means… ensuring data is made available, not locked down unnecessarily.”.

Data Warehouse 52

Data Warehouse Data Governance Machine Learning Data-driven 52

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 83

Data Lake Data Governance Data Architecture Data Warehouse 83

datapine

SEPTEMBER 29, 2022

Effective DQM is recognized as essential to any consistent data analysis, as the quality of data is crucial to derive actionable and – more importantly – accurate insights from your information. There are a lot of strategies that you can use to improve the quality of your information.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Birst BI

OCTOBER 30, 2018

Remember when you began your career and the prospect of retirement was an event in the distant future? Every day, these companies pose questions such as: Will this new client provide a good return on investment, relative to the potential risk? Is this existing client a termination risk? Automate the data processing sequence.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Cloudera

APRIL 9, 2021

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources.

Data Warehouse 59

Data Warehouse Cost-Benefit Statistics Data-driven 59

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. You need to process this to make it ready for analysis.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

AWS Big Data

DECEMBER 8, 2023

More and more of FanDuel’s community of analysts and business users looked for comprehensive data solutions that centralized the data across the various arms of their business. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 68

Data Warehouse Cost-Benefit KPI Risk 68

AWS Big Data

MAY 16, 2024

As technology continues to evolve, one specific facet of this journey is reaching unprecedented proportions: geospatial data. H3 can also help create location-based profiling features for predictive machine learning (ML) models such as risk-mitigation models.

Data Warehouse 108

Data Warehouse Visualization Cost-Benefit Optimization 108

CIO Business Intelligence

OCTOBER 19, 2022

Deepak Kaul, CIO of Zebra Technologies, reinforces the critical role that CIOs play in driving digital literacy : “Digital transformation is not a one-time event,” he says. “By We kept the data warehouse but augmented it with a cloud-based enterprise data lake and ML platform. What about risk? What about security?

IT 121

IT Digital Transformation Data Warehouse Risk 121

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Life insurance needs accurate data on consumer health, age and other metrics of risk.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

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. Upcoming Events.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

DataKitchen

SEPTEMBER 21, 2023

Data in Place refers to the organized structuring and storage of data within a specific storage medium, be it a database, bucket store, files, or other storage platforms. In the contemporary data landscape, data teams commonly utilize data warehouses or lakes to arrange their data into L1, L2, and L3 layers.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Cloudera

AUGUST 9, 2022

The previous decade has seen explosive growth in the integration of data and data-driven insight into a company’s ability to operate effectively, yielding an ever-growing competitive advantage to those that do it well. Data is integral for both long-term strategy and day-to-day, or even minute-to-minute operation.

Data Lake 79

Data Lake Data Warehouse Data-driven IoT 79

IBM Big Data Hub

MAY 9, 2023

We are also building models trained on different types of business data, including code, time-series data, tabular data, geospatial data and IT events data. With watsonx.data , businesses can quickly connect to data, get trusted insights and reduce data warehouse costs.

Data Warehouse 107

Data Warehouse Machine Learning Cost-Benefit Metadata 107

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. What is a dimensional data model? What is a dimensional data model?

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Metadata 65

Cloudera

JANUARY 21, 2021

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. And you also already know siloed data is costly, as that means it will be much tougher to derive novel insights from all of your data by joining data sets.

Data Lake 94

Data Lake Data Warehouse IT Analytics 94

DataRobot Blog

MARCH 28, 2023

Ensuring you have the right technology ecosystem and co-pilots to design and deliver on a winning strategy is critical. Together these partners are uniquely positioned to help you de-risk and accelerate your journey up the AI maturity curve, and give you a strong foundation for operationalizing at scale with the DataRobot AI Platform.

Digital Transformation 52

Digital Transformation Consulting Data Warehouse Strategy 52

IBM Big Data Hub

SEPTEMBER 27, 2023

The list of challenges is long: cloud attack surface sprawl, complex application environments, information overload from disparate tools, noise from false positives and low-risk events, just to name a few. You get near real-time visibility and insights from your ingested data.

Cost-Benefit 95

Cost-Benefit OLAP Dashboards Visualization 95

AWS Big Data

OCTOBER 4, 2023

Migrating on-premises data warehouses to the cloud is no longer viewed as an option but a necessity for companies to save cost and take advantage of what the latest technology has to offer. This blog post is co-written with Govind Mohan and Kausik Dhar from Cognizant.

Data Warehouse 59

Data Warehouse Cost-Benefit Metadata Data Lake 59

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.”. Network perimeter.

Data Processing 52

Data Processing Data Lake Cost-Benefit Risk 52

CIO Business Intelligence

OCTOBER 19, 2023

Power BI no longer has its own streaming dataset option, but you can create a real-time dashboard using Azure Event Hubs and the Azure Stream Analytics no-code editor to enable business analysts to combine batched and streaming data in the same Power BI reports.

Slice and Dice 124

Slice and Dice Scorecard Metrics Visualization 124

Smart Data Collective

FEBRUARY 20, 2022

On the one hand, the use of agents allows you to actively monitor and respond to events. During this process, you need to analyze your data assets, categorize and prioritize them, conduct a risk assessment, and establish appropriate monitoring and response techniques. There are different opinions.

Behavioral Analytics 115

Behavioral Analytics Risk Machine Learning Interactive 115

Cloudera

MAY 16, 2018

The Keystone to a Holistic Trade Surveillance Strategy. This approach also relates to monitoring internal fiduciary risk by tying separate events together, such as a large position (relative to historic norms) being taken immediately after the risk model that would have flagged it was modified in a separate system.

Data Lake 42

Data Lake Risk Visualization Unstructured Data 42

Jet Global

JULY 29, 2020

Oracle’s 2014 Statement of Direction laid out its support strategy. There is a significant risk with unsupported products. Fear of the unknown has left many companies afraid to implement a new reporting tool, yet the risk of staying with Discoverer is becoming increasingly high. Real-Time Reporting Solutions for Oracle EBS.

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

Alation

APRIL 14, 2022

Supports the ability to interact with the actual data and perform analysis on it. This provides the facility a time or event for a job to run and offers useful post-run information. Similar to a data warehouse schema, this prep tool automates the development of the recipe to match. Scheduling. Target Matching.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Domino Data Lab

JULY 2, 2019

To build a SQL query, one must describe the data sources involved and the high-level operations (SELECT, JOIN, WHERE, etc.) Some may ask: “Can’t we all just go back to the glory days of business intelligence, OLAP, and enterprise data warehouses?” Upcoming events. Nope, that genie is out of the bottle.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Jet Global

MAY 28, 2019

Whether the reporting is being done by an end user, a data science team, or an AI algorithm, the future of your business depends on your ability to use data to drive better quality for your customers at a lower cost. So, when it comes to collecting, storing, and analyzing data, what is the right choice for your enterprise?

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

Alation

JULY 12, 2022

Many things have driven the rise of the cloud data warehouse. The cloud can deliver myriad benefits to data teams, including agility, innovation, and security. More users can access, query, and learn from data, contributing to a greater body of knowledge for the organization. Data encryption. Cost-effective.

Cost-Benefit 52

Cost-Benefit Data Warehouse Key Performance Indicator Testing 52

Cloudera

APRIL 1, 2024

This recognition underscores Cloudera’s commitment to continuous customer innovation and validates our ability to foresee future data and AI trends, and our strategy in shaping the future of data management. Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics.

Unstructured Data 106

Unstructured Data Cost-Benefit Metadata Machine Learning 106

IBM Big Data Hub

AUGUST 3, 2023

Having access of data expanded to a large group of people has many benefits but also serves as a security concern because it means that there is more room for human error or risk of potential data breaches, since everyone within the company may not be well versed in data security best practices.

Cost-Benefit 57

Cost-Benefit Risk Enterprise Reporting 57

Alation

APRIL 19, 2022

Further, data modernization reduces data security and privacy compliance risks. Its process includes identifying sensitive information so you can limit users’ access to data precisely and efficiently. Efficient Data Processing. To use data, you need the ability to collect and correlate it efficiently.

Cost-Benefit 52

Cost-Benefit Data Governance Manufacturing Data Architecture 52

Alation

AUGUST 26, 2021

Data intelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of Data Intelligence use cases include: Data governance. Cloud Data Migration. Privacy, Risk and Compliance. Let’s take a closer look at the role of DI in the use case of data governance.

Metadata 64

Metadata Data Governance Dashboards Software 64

Jet Global

MARCH 2, 2022

For one, companies that place an emphasis on their environmental and social impacts and responsibilities, have been shown to be more resilient and that they’re able to manage their risks better during a crisis. The SFDR aims to give more transparency about sustainability and provide a common set of rules on sustainability risks.

Reporting 59

Reporting Recreation/Entertainment Risk Insurance 59