Jet Global

JULY 2, 2019

To address the flood of data and the needs of enterprise businesses to store, sort, and analyze that data, a new storage solution has evolved: the data lake. What’s in a Data Lake? Data warehouses do a great job of standardizing data from disparate sources for analysis. Taking a Dip.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

CIO Business Intelligence

SEPTEMBER 20, 2023

The data can also help us enrich our commodity products. How are you populating your data lake? We’ve decided to take a practical approach, led by Kyle Benning, who runs our data function. Then our analytics team, an IT group, makes sure we build the data lake in the right sequence.

Data Lake 135

Data Lake Data-driven Dashboards Risk 135

CIO Business Intelligence

APRIL 8, 2025

Fragmented systems, inconsistent definitions, legacy infrastructure and manual workarounds introduce critical risks. Data quality is no longer a back-office concern. One thing is clear for leaders aiming to drive trusted AI, resilient operations and informed decisions at scale: transformation starts with data you can trust.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

CIO Business Intelligence

OCTOBER 9, 2024

However, this enthusiasm may be tempered by a host of challenges and risks stemming from scaling GenAI. As the technology subsists on data, customer trust and their confidential information are at stake—and enterprises cannot afford to overlook its pitfalls.

Strategy 143

Strategy Modeling Management Data Lake 143

AWS Big Data

JULY 29, 2024

In the era of big data, data lakes have emerged as a cornerstone for storing vast amounts of raw data in its native format. They support structured, semi-structured, and unstructured data, offering a flexible and scalable environment for data ingestion from multiple sources.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

erwin

SEPTEMBER 3, 2020

Two of the biggest challenges in creating a successful enterprise architecture initiative are: collecting accurate information on application ecosystems and maintaining the information as application ecosystems change. Data governance provides time-sensitive, current-state architecture information with a high level of quality.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

AWS Big Data

JUNE 25, 2024

This post is co-authored by Vijay Gopalakrishnan, Director of Product, Salesforce Data Cloud. In today’s data-driven business landscape, organizations collect a wealth of data across various touch points and unify it in a central data warehouse or a data lake to deliver business insights.

Data Lake 121

Data Lake Cost-Benefit Data-driven Data Warehouse 121

CIO Business Intelligence

MAY 21, 2024

It will serve as the “nerve center” of an enterprise’s IT operation, the company said, adding that the offering will generate insights across an enterprise’s folio of applications to help reduce risk and compliance processes.

Enterprise 110

Enterprise Management Data Lake Risk 110

Alation

FEBRUARY 20, 2020

For many enterprises, a hybrid cloud data lake is no longer a trend, but becoming reality. Due to these needs, hybrid cloud data lakes emerged as a logical middle ground between the two consumption models. earthquake, flood, or fire), where the data collected does not need to be as tightly controlled.

Data Lake 52

Data Lake ROI Metadata Cost-Benefit 52

CIO Business Intelligence

AUGUST 9, 2024

If after anonymization the level of information in the data is the same, the data is still useful. But once personal or sensitive references are removed, and the data is no longer effective, a problem arises. Synthetic data avoids these difficulties, but they’re not exempt from the need of a trade-off.

Risk 138

Risk Measurement Data Lake Data Collection 138

AWS Big Data

MARCH 1, 2024

One of the bank’s key challenges related to strict cybersecurity requirements is to implement field level encryption for personally identifiable information (PII), Payment Card Industry (PCI), and data that is classified as high privacy risk (HPR). Only users with required permissions are allowed to access data in clear text.

Data Lake 118

Data Lake Data Warehouse Management Risk 118

erwin

OCTOBER 31, 2019

In fact, we’ve seen some frightening ones play out already: Google’s record GDPR fine – France’s data privacy enforcement agency hit the tech giant with a $57 million penalty in early 2019 – more than 80 times the steepest fine the U.K.’s s Information Commissioner’s Office had levied against both Facebook and Equifax for their data breaches.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

CIO Business Intelligence

JANUARY 20, 2023

Doing it right requires thoughtful data collection, careful selection of a data platform that allows holistic and secure access to the data, and training and empowering employees to have a data-first mindset. Security and compliance risks also loom. Most organizations don’t end up with data lakes, says Orlandini.

Data Lake 135

Data Lake Data-driven Finance Data Architecture 135

CIO Business Intelligence

OCTOBER 25, 2023

Zscaler Enterprises will work to secure AI/ML applications to stay ahead of risk Our research also found that as enterprises adopt AI/ML tools, subsequent transactions undergo significant scrutiny. In all likelihood, we will see other industries take their lead to ensure that enterprises can minimize the risks associated with AI and ML tools.

Enterprise 133

Enterprise Manufacturing Risk Data-driven 133

AWS Big Data

NOVEMBER 29, 2023

For more information about performance improvement capabilities, refer to the list of announcements below. With Redshift, we are able to view risk counterparts and data in near real time— instead of on an hourly basis. Learn more about the zero-ETL integrations, data lake performance enhancements, and other announcements below.

Data Warehouse 130

Data Warehouse Analytics Data Lake Machine Learning 130

Cloudera

AUGUST 13, 2021

Every enterprise is trying to collect and analyze data to get better insights into their business. Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis.

Analytics 111

Analytics Data Lake Unstructured Data Data Strategy 111

Cloudera

MAY 28, 2024

Behind every business decision, there’s underlying data that informs business leaders’ actions. Delivering the most business value possible is directly linked to those decisions and the data and insights that inform them. It’s not enough for businesses to implement and maintain a data architecture.

Data Architecture 88

Data Architecture Data Lake Data Warehouse Cost-Benefit 88

CIO Business Intelligence

OCTOBER 2, 2024

One being knowledge management (KM), consisting of collecting enterprise information, categorizing it, and feeding it to a model that allows users to query it. And the other is retrieval augmented generation (RAG) models, where pieces of data from a larger source are vectorized to allow users to “talk” to the data.

Management 141

Management Data Governance Cost-Benefit Structured Data 141

Cloudera

JUNE 1, 2021

In summary, the next chapter for Cloudera will allow us to concentrate our efforts on strategic business opportunities and take thoughtful risks that help accelerate growth. After all, we invented the whole idea of Big Data. The mission is to “Make data and analytics easy and accessible, for everyone.” 650-644-3900.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

AWS Big Data

SEPTEMBER 26, 2024

As regulatory scrutiny intensifies and data volumes continue to grow exponentially, enterprises must develop comprehensive strategies to tackle these complex data management and governance challenges, making sure they can use their historical information assets while remaining compliant and agile in an increasingly data-driven business environment.

Data Governance 115

Data Governance Enterprise Management Data Lake 115

IBM Big Data Hub

OCTOBER 16, 2023

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits.

Risk 70

Risk Modeling Management Metadata 70

CIO Business Intelligence

OCTOBER 19, 2022

So, I did what I always do when I am in need of information: I asked a bunch of CIOs. CIOs at the center of digital transformation Even as I write this, I realize that my first three quotes are not from chief information officers, but from chief information digital officers. What about risk? Here’s what they had to say.

IT 124

IT Data Warehouse Digital Transformation Risk 124

erwin

APRIL 2, 2021

With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Lack of a solid data governance foundation increases the risk of data-security incidents. Who is authorized to use it and how?

Data Governance 106

Data Governance Cost-Benefit Metadata Risk 106

AWS Big Data

DECEMBER 4, 2024

Globally, financial institutions have been experiencing similar issues, prompting a widespread reassessment of traditional data management approaches. With this approach, each node in ANZ maintains its divisional alignment and adherence to data risk and governance standards and policies to manage local data products and data assets.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

Cloudera

MAY 19, 2021

RAPIDS brings the power of GPU compute to standard Data Science operations, be it exploratory data analysis, feature engineering or model building. In this tutorial, we will illustrate how RAPIDS can be used to tackle the Kaggle Home Credit Default Risk challenge. To see more information on the winning submission See: [link] 1.

Machine Learning 137

Machine Learning Data Science Data Lake Modeling 137

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. Data Modeling.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

Timo Elliott

MAY 27, 2022

First, data is by default, and by definition, a liability , because it costs money and has risks associated with it. To turn data into an asset , you actually have to do something with it and drive the business. And the best way to do that is to embed data, analytics, and decisions into business workflows.

Data Analytics 124

Data Analytics Analytics Recreation/Entertainment Data Lake 124

Cloudera

APRIL 20, 2022

One of our insurer customers in Africa collected and analyzed data on our platform to quickly focus on their members that were at a higher risk of serious illness from a COVID infection. These segments were based on risk profiles, and the insurer implemented tailored plans to support each segment.

Insurance 101

Insurance Measurement Data Lake Risk 101

CIO Business Intelligence

OCTOBER 4, 2023

At the lowest layer is the infrastructure, made up of databases and data lakes. User data is also housed in this layer, including profile, behavior, transactions, and risk. Data that unlocks value at both ends is key. These applications live on innumerable servers, yet some technology is hosted in the public cloud.

Digital Transformation 132

Digital Transformation Deep Learning Data Lake Risk 132

Cloudera

JANUARY 21, 2021

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. Of course you don’t want to re-create the risks and costs of data silos your organization has spent the last decade trying to eliminate. Must you be: .

Data Warehouse 94

Data Warehouse Data Lake IT Analytics 94

AWS Big Data

FEBRUARY 29, 2024

Access policies to extract permissions based on relevant data and filter out results based on the prompt user role and permissions. Enforce data privacy policies such as personally identifiable information (PII) redactions. Grant the user role permissions for sensitive information and compliance policies.

Data Governance 123

Data Governance Unstructured Data Metadata Data Lake 123

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). Sharing data using LF-tags helps scale permissions and reduces the admin work for data lake builders.

Data Lake 98

Data Lake Data Governance Data Architecture Machine Learning 98

CIO Business Intelligence

DECEMBER 4, 2023

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. When data is stored in a modern, accessible repository, organizations gain newfound capabilities. Connect/Activate.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

AWS Big Data

JULY 3, 2023

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance.

Snapshot 105

Snapshot Data Lake Testing Strategy 105

erwin

JULY 17, 2019

EA and BP modeling squeeze risk out of the digital transformation process by helping organizations really understand their businesses as they are today. However, few organizations truly understand their data or know how to consistently maximize its value. The real question is: are you reaping all the value you can from all your data?

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

CIO Business Intelligence

AUGUST 3, 2023

But reaching all these goals, as well as using enterprise data for generative AI to streamline the business and develop new services, requires a proper foundation. But before consolidating the required data, Lenovo had to overcome concerns around sharing potentially sensitive information.

Analytics 98

Analytics Data Lake Metadata Cost-Benefit 98

AWS Big Data

MARCH 21, 2024

However, it can be challenging to set up a Kafka cluster along with other data processing components that scale automatically depending on your application’s needs. You risk under-provisioning for peak traffic, which can lead to downtime, or over-provisioning for base load, leading to wastage. Create a new file called kafkaDataGen.py.

Data Lake 118

Data Lake Management Modeling Optimization 118