AWS Big Data

MARCH 26, 2024

Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Cloudera

DECEMBER 8, 2020

Two years ago we wrote a research report about Federated Learning. We’re pleased to make the report available to everyone, for free. Federated Learning is a paradigm in which machine learning models are trained on decentralized data. Two years ago we released a research report on Federated Learning.

Machine Learning 85

Machine Learning Data Lake Reporting Modeling 85

FineReport

MARCH 24, 2024

The primary objective of a data analyst is to transform raw data into meaningful insights that drive organizational improvements. By conducting extensive research and analysis, they generate reports that inform strategic decisions, identify areas for enhancement, and guide the implementation of new initiatives.

Statistics 52

Statistics Data mining Visualization Reporting 52

Cloudera

JANUARY 21, 2021

Does your organization’s success depend on immediate delivery of new reports, applications, or projects? Storing data in a proprietary, single-workload solution also recreates dangerous data silos all over again, as it locks out other types of workloads over the same shared data. Do you need faster time to value?

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

AWS Big Data

FEBRUARY 21, 2023

The data vault approach solves most of the problems associated with dimensional models, but it brings other challenges in clinical quality control applications and regulatory reports. This is one of the biggest hurdles with the data vault approach. It optimizes the database for faster data retrieval.

Data Warehouse 67

Data Warehouse Data Lake Cost-Benefit Modeling 67

Cloudera

DECEMBER 16, 2022

Cloudera has been recognized in this cloud DBMS report since its inception in 2020. Cloudera has long had the capabilities of a data lakehouse, if not the label. CDP provides integrated governance, in the form of our unique Shared Data Experience (SDX)—specifically highlighted in the recent Gartner report as a strength.

Management 90

Management Metadata Machine Learning Data Lake 90

Jedox

JANUARY 19, 2023

IBP solutions, such as Jedox, do this by automating data collection and integrating it into one platform. A great real-life example of this is Fiat , which initially used legacy reporting and Excel for its quarterly forecasts. With Jedox, the carmaker went from what we call “Excel hell” to unified planning and reporting.

IT 86

IT Forecasting Data Lake Marketing 86

CIO Business Intelligence

NOVEMBER 28, 2023

With each game release and update, the amount of unstructured data being processed grows exponentially, Konoval says. This volume of data poses serious challenges in terms of storage and efficient processing,” he says. To address this problem RetroStyle Games invested in data lakes. Ensure value with visualizations.

Unstructured Data 127

Unstructured Data Data-driven Visualization Data Quality 127

bridgei2i

MARCH 11, 2021

They have access to large amounts of data. But, the data comes from distinct sources and systems. For instance, a small business owner who does all accounting work on Excel and uses another system to send reports will have two distinct data sources to focus on. in the system. All diagnostics, alerts, etc.,

Key Performance Indicator 52

Key Performance Indicator Data Governance Data Lake Metadata 52

Cloudera

SEPTEMBER 8, 2021

Putting aside operational efficiency for a moment, let us now consider the constraint “accelerated time frames” If data flows, ETL pipelines, BI reports and machine learning pipelines all need to be rewritten or heavily modified, this can significantly extend the time to value and increase the risk of moving to the cloud.

Data Lake 77

Data Lake Enterprise Data-driven Data Strategy 77

Alation

JANUARY 26, 2023

Offer a framework If your data steward doesn’t fully understand your policies, neither will the end users. Ensure that the data steward is given a full rundown of the information they need. It’s equally important that they know the reporting structure. This is “table stakes” for any data governance program!).

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Cloudera

FEBRUARY 16, 2022

Each workspace is associated with a collection of cloud resources. In the case of CDP Public Cloud, this includes virtual networking constructs and the data lake as provided by a combination of a Cloudera Shared Data Experience (SDX) and the underlying cloud storage. The highest level construct in CML is a workspace.

Machine Learning 83

Machine Learning Modeling Metadata Recreation/Entertainment 83

BizAcuity

MARCH 1, 2019

and constantly report this data to backend. At the backend, based on the data collected, data is stored in data lakes. Such data is collected from hundreds, thousands and millions of users.

IoT 56

IoT Internet of Things Big Data Data-driven 56

Sisense

APRIL 26, 2020

In our modern digital world, proper use of data can play a huge role in a business’s success. Datasets are exploding at an ever-accelerating rate, so collecting and analyzing data to maximum effect is crucial. Companies and businesses focus a lot on data collection in order to make sure they can get valuable insights out of it.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

datapine

AUGUST 29, 2022

The new edition also explores artificial intelligence in more detail, covering topics such as Data Lakes and Data Sharing practices. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz. to describe how companies can combine traditional analytics with a big data approach.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Peter James Thomas

AUGUST 29, 2018

I have since run and driven transformation in Reference Data, Master Data , KYC [3] , Customer Data, Data Warehousing and more recently Data Lakes and Analytics , constantly building experience and capability in the Data Governance , Quality and data services domains, both inside banks, as a consultant and as a vendor.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

Alation

JULY 7, 2022

To answer these questions we need to look at how data roles within the job market have evolved, and how academic programs have changed to meet new workforce demands. In the 2010s, the growing scope of the data landscape gave rise to a new profession: the data scientist. Supporting the next data-literate generation.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Alation

FEBRUARY 1, 2022

A new research report by Ventana Research, Embracing Modern Data Governance , shows that modern data governance programs can drive a significantly higher ROI in a much shorter time span. Historically, data governance has been a manual and restrictive process, making it almost impossible for these programs to succeed.

Data Lake 52

Data Lake Data Governance ROI Cost-Benefit 52

IBM Big Data Hub

AUGUST 4, 2023

By leveraging data services and APIs, a data fabric can also pull together data from legacy systems, data lakes, data warehouses and SQL databases, providing a holistic view into business performance. Then, it applies these insights to automate and orchestrate the data lifecycle.

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62

Alation

FEBRUARY 17, 2023

The data governance team should define the policies, needed controls & reports and work with the technical staff (who are more data management-centric) to build these out. This is how you can better align data governance and data management by having a ‘one-team’ mindset as you work together, with a shared focus on results.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Alation

AUGUST 2, 2022

Customer centricity requires modernized data and IT infrastructures. Too often, companies manage data in spreadsheets or individual databases. This means that you’re likely missing valuable insights that could be gleaned from data lakes and data analytics. Customers with a long-term relationship.

Strategy 52

Strategy Cost-Benefit Metrics Data Lake 52