Cloudera

SEPTEMBER 6, 2022

Previously, there were three types of data structures in telco: . Entity data sets — i.e. marketing data lakes . There are three major architectures under the modern data architecture umbrella. . Application-based datasets — i.e. billing or contact center support systems .

Data Architecture 84

Data Architecture Cost-Benefit Digital Transformation Business Driver 84

Data Virtualization

MAY 21, 2019

The current data landscape is fragmented, not just in location but also in terms of shape and processing paradigms: data lakes, IoT architectures, noSQL and graph data stores, SaaS vendors, etc. are found coexisting with relational databases to fuel the.

Data Warehouse 45

Data Warehouse Data Lake IoT Data Governance 45

Corinium

APRIL 25, 2019

And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty. And more recently, we have also seen innovation with IOT (Internet Of Things). In data-driven organizations, data is flowing. You want data-focused policies that follow the data.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Sanjeev Mohan

JANUARY 15, 2018

Somehow the data deluge barely leaves enough oxygen for a social media dopamine fix! Look forward to blogs spanning big data technologies, advanced analytics, data governance, IoT and blockchain. There is a renewed emphasis on data lakes and reversing the trends that caused them to turn into swamps.

Data Lake 45

Data Lake IoT Big Data Interactive 45

Alation

APRIL 14, 2022

Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Cloudera

MAY 12, 2021

This category is open to organizations that have tackled transformative business use cases by connecting multiple parts of the data lifecycle to enrich, report, serve, and predict. . DATA FOR ENTERPRISE AI. Industry Transformation: Telkomsel — Ingesting 25TB of data daily to provide advanced customer analytics in real-time .

Digital Transformation 68

Digital Transformation Machine Learning Optimization Data Lake 68

Sanjeev Mohan

FEBRUARY 28, 2018

Data Governance is top of mind for most organizations. On one hand, Australians have feverishly opposed numerous attempts to create a national ID yet organizations are looking to link identities across various data sources. Data warehouse modernization was a common theme followed by developing data lakes.

Management 52

Management Internet of Things Data Lake IoT 52

CIO Business Intelligence

APRIL 6, 2022

Improved connectivity, including increased availability of 5G capabilities, coupled with cost-effective edge processing power, is driving the deluge of data that exists outside centralized repositories and traditional data centers. According to IDC estimates , there will be 55.7

Data Strategy 52

Data Strategy Strategy Internet of Things Data Warehouse 52

Octopai

MAY 30, 2019

If the point of Business Intelligence (BI) data governance is to leverage your datasets to support information transparency and decision-making, then it’s fair to say that the data catalog is key for your BI strategy. At least, as far as data analysis is concerned. Folding In Metadata Automation.

Metadata 40

Metadata Data Governance Data Lake IoT 40

Cloudera

FEBRUARY 19, 2018

But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough. To keep up with tech trends, businesses have to face the challenges of integrating SAP with non-SAP technologies and embark on a crusade against data silos. Governance.

Data Lake 46

Data Lake Finance Data Governance Big Data 46

Andrew White

OCTOBER 25, 2019

Here is my final analysis of my 1-1s and interactions this week: Topic: Data Governance 28. Vision/Data Driven/Outcomes 28. Data, analytics, or D&A Strategy 21. Modern) Master Data Management 18. Data lake 4. Data Literacy 4. IoT/Streaming data 1. AI/Automation 6.

Recreation/Entertainment 40

Recreation/Entertainment IT Data Lake Data-driven 40

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

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

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.

Strategy 52

Strategy Cost-Benefit Metrics Data Lake 52