Sisense

JULY 6, 2020

In today’s day and age, data can be found just about anywhere. The volume and types of data are growing by the day, making data processing and generation of data insights more and more complicated. Inaccurate data leads to generating unreliable insights which, in the long run, lead the business in the wrong direction.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

Cloudera

NOVEMBER 17, 2022

With Cloudera Data Platform, we aim to unlock value faster and offer consistent data security and governance to meet this goal. Aqeel Ahmed Jatoi, Lead – Architecture, Governance and Control, Habib Bank Limited. and primarily served regulatory reporting and internal analytics requirements.

Management 84

Management Data Lake Consulting Unstructured Data 84

Cloudera

SEPTEMBER 15, 2022

The gathering in 2022 marked the sixteenth year for top data and analytics professionals to come to the MIT campus to explore current and future trends. A key area of focus for the symposium this year was the design and deployment of modern data platforms. What is a data fabric? What is a data mesh?

Data Lake 81

Data Lake Data Architecture Data-driven Data Warehouse 81

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

Data Processing 85

Data Processing IoT Cost-Benefit Digital Transformation 85

AWS Big Data

FEBRUARY 1, 2024

This stack creates the following resources and necessary permissions to integrate the services: Data stream – With Amazon Kinesis Data Streams , you can send data from your streaming source to a data stream to ingest the data into a Redshift data warehouse. version cluster.

Data Warehouse 125

Data Warehouse Dashboards Risk Management Risk 125

erwin

OCTOBER 24, 2019

Metadata is generated every time data is captured at a source, accessed by users, moves through an organization, and then is profiled, cleansed, aggregated, augmented and used for analytics to guide operational or strategic decision-making.

Metadata 104

Metadata Management Data-driven Data Architecture 104

AWS Big Data

JULY 28, 2023

Amazon Athena is a serverless, interactive analytics service built on the Trino, PrestoDB, and Apache Spark open-source frameworks. In this post, we show how to create and query views on federated data sources in a data mesh architecture featuring data producers and consumers. Big Data Architect on Amazon Athena.

Big Data 83

Big Data Data Architecture Data Lake Interactive 83

O'Reilly on Data

SEPTEMBER 11, 2019

Strata attracts the leading names in the fields of data management, data engineering, analytics, ML, and artificial intelligence (AI). But we wanted to see what an analysis of the event’s proposal data itself might reveal about the state of the field at this point in time. 221) to 2019 (No. The term “ML” is No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

TDAN

DECEMBER 31, 2019

If you are targeted by a criminal online, then you risk losing everything— from your essential data to your reputation. The average cost of a global data breach cost has increased in 2019 and is now $3.92 That means that any breach could bankrupt your business. […].

Risk 69

Risk Risk Management Data Architecture Data Strategy 69

erwin

DECEMBER 12, 2019

The Role of Metadata in Data Governance. As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. We know our customers need an active metadata-driven approach to: Understand their business, technology and data architectures and the relationships between them.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Peter James Thomas

APRIL 9, 2019

Maybe I will do better with 2019’s highlights! These are as follows: General Data Articles. Data Visualisation. Statistics & Data Science. Analytics & Big Data. Many companies want to become data driven, but getting started on the journey towards this goal can be tough. CDO perspectives.

Data-driven 49

Data-driven Statistics Big Data Data Science 49

Cloudera

OCTOBER 1, 2022

Thinking back to the conversations I had in late 2019, early 2020, most of the mainstream organizations I was talking to, meaning not the Facebooks and the Googles of the world, had very similar machine learning and AI journeys. Listen to the full podcast episode here. “It

Data Governance 73

Data Governance Strategy Enterprise Machine Learning 73

Cloudera

JANUARY 17, 2021

Consider that Amazon’s US capital spending in 2019 was more than any other company pushing Amazon’s sales per employee to 50% more than Walmarts which predominantly are brick and mortar bound. The data spun off its business is remarkable allowing advanced analytics use cases such as: Business Category. Marketing and Sales.

Digital Transformation 65

Digital Transformation Cost-Benefit Manufacturing Sales 65

erwin

DECEMBER 12, 2019

The Role of Metadata in Data Governance. As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. We know our customers need an active metadata-driven approach to: Understand their business, technology and data architectures and the relationships between them.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Peter James Thomas

MARCH 9, 2020

I used to talk about carrying out a Situational Analysis of Data Capabilities, nowadays I am more likely to refer to a Data Capability Review. I make such reviews with respect to my own Data Capability Framework, which I introduced to the public in 2019 via A Simple Data Capability Framework.

Measurement 67

Measurement Strategy Data Strategy Modeling 67

Smart Data Collective

AUGUST 9, 2019

Chris Dyl, director of platform for Epic, referred to the company’s Amazon S3 deployment as its “data lake” during his talk at AWS Summit just this month. The reference is one piece of evidence that data lakes are not only useful pieces of data architecture but are also crucial building blocks.”.

Big Data 77

Big Data Data Lake Data Architecture Machine Learning 77

CIO Business Intelligence

APRIL 25, 2022

Because NPD is a data company and Person oversees data architecture, “I own the factory,” he says. “So Typically, their responsibilities include providing tier-one support to business users, developing reports, and meeting the analytical and data needs of their users,” he says.

IT 110

IT Insurance Cost-Benefit Reporting 110

Peter James Thomas

OCTOBER 1, 2019

The recent update of The Data & Analytics Dictionary featured an entry on Charts. A Chart is a way to organise and Visualise Data with the general objective of making it easier to understand and – in particular – to discern trends and relationships. Especially for all Business Analytics professionals out there.

Sales 61

Sales Measurement Statistics Data Architecture 61