Top Trending LinkedIn Posts about Data Mapping

Explore the most popular LinkedIn posts in the Data Mapping niche. Get inspired and create engaging content

Top Trending Linkedin Posts about Data Mapping

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David Casellas
@davidcasellas
11 months ago

“You can’t do much to mature your privacy program unless you know what data you have and that requires the data mapping exercise”

19 5 24
13 comments
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Christian Miele
@christianmiele
11 months ago

$30M! A big congratulations to our 🇮🇱 Israel-based AI company MineOS. Here's a story on successfully building B2B SaaS by starting with B2C

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76 2 85
7 comments
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Kavinder Singh Kohli
@kavinderkohli
9 months ago

Without precise consumer data and location information, the reliability of Meter-HES communication design in smart metering is compromised, leading to data discrepancies and

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69 2 71
2 comments
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LinkedIn User
@simon-neal
9 months ago

Data Mapping, its maybe not the most exciting topic, but still at the core of every successful privacy program.

Fun to hear Egil Bergenlind

1 2 1
13 comments
A
Anu D.
@anu-d-5b2646136
8 months ago

#urgentrequirement

#Data_Analyst with #Cognos/ #PowerBI and P&C #Insurance Experience
Locations - Alpharetta, GA; Conshohocken, PA; Florham Park, NJ, Purchase NY – #HYBRID 
#Contract

TECHNICAL QUALIFICATIONS
5+

8 2 8
13 comments
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Anu D.
@anu-d-5b2646136
8 months ago

#datajobs #remoteopportunity #fullremote

Position : #Data_migration Expert - #Lease_Servicing_Domain
Location : #REMOTE
Contract : 12+ Months

Experience : 12+ years

Skills:
Data Analysis

1 2 1
13 comments
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Carlos Ferreira
@carlosgodinhof
8 months ago

The Power of Geospatial Intelligence and Similarity Analysis for Data Mapping
Strategically enhancing address mapping during data integration using geocoding and string matching

3 2 3
13 comments
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Mohammad Arshad
@mdarshad
8 months ago

Different types have unique features essential for exact data manipulations.

Essential Python Data Types:
Integers & Floats: For precise numerical operations.
Strings: The cornerstone of text

119 16 147
12 comments
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Colt Sarginson
@colt-sarginson-4957785b
8 months ago

Data collected from over 450 talent acquisition experts has found that almost half state that building a talent pipeline is their top priority

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1 1 2
13 comments
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Sabitha Venugopal
@livecsearch
8 months ago

Product Owner(IC Role) @ Chennai - Should be strong in Data Mapping/22L- Hybrid model - need to work from Chennai 3 days a

45 6 51
13 comments
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Carrie Evans
@carrie-evans-bb542020
8 months ago

Looking for a Data Quality Specialist - data analysis, data mapping, working with large data sets, BI tools experience such as Tableau, PowerBI,

3 2 3
13 comments
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Vaibhav Antil
@vaibhav-antil-a8103938
8 months ago

Traditional data mapping methods struggle to keep up with the rapid pace of development, leaving privacy officers to create privacy programs that are

21 4 25
13 comments
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Louise G.
@llakg
7 months ago

Anyone else think a day of excel data mapping deserves a Friday afternoon cheesecake?

🍰💻

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36 2 55
19 comments
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Dipanshu Mahajan
@dipanshu-mahajan-33360322
7 months ago

Data.

A common topic but it can seem so scattered within many organisations.

To tackle data inconsistency, Ficode Technologies Limited start by applying

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12 1 13
13 comments
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Ben Fuller
@benjaminfuller
7 months ago

Merging databases without a data mapping strategy is a disaster waiting to happen.

Trust us, aligning data from both systems from the start

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4 2 4
13 comments
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Quoc Dang
@quocdang
7 months ago

Simplify data mapping, automate compliance, and boost breach response with our Identity-Aware AI. Get the brief now and tap into the full potential

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6 2 6
13 comments
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Arpita Raha
@arpita-raha-384005185
7 months ago

Successfully integrating data from various sources can be a complex task that requires careful alignment, detailed data mapping, and smooth interoperability. Torry Harris

2 2 2
13 comments
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Paul Laughlin
@paullaughlin
7 months ago

Why data mapping still matters in the new world of IoT devices & data pipelines: https://lnkd.in/eVwhuwGe #IoT #DataMapping #PeopleSideOfData

2 2 2
13 comments
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Claude Saulnier 🌍
@claudesaulnier
7 months ago

A data mapping exercise done the 'old way' can actually discover assets that were meant to have been decommissioned a few years ago

8 1 9
13 comments
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Pradeep Mishra
@data-integrations-expert
7 months ago

Executing Smart Meters/IoT Data Integration Pipeline projects that delivers to your business case can indeed be challenging.

But with these seven steps, you

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10 1 11
13 comments
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Chris Roberts
@chrishroberts
7 months ago

Fuzzy. Normalized. Exact.

You pick the data match rules, and Data Cloud will do the work. Watch how your team can set data

144 46 191
1 comments
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Claude Saulnier 🌍
@claudesaulnier
7 months ago

No in-depth data mapping means:
- no GDPR
- no DORA
- no NIS2
- no POPIA
- no governance
- no control
and the list continues.

Because without, you can't

8 2 9
1 comments
A
Anne Bonner
@anne-bonner
6 months ago

If you need to combine datasets or move data from one place to another, how can you make sure that the data ends

7 1 8
13 comments
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Alicja Żuczek
@alazuczek
6 months ago

𝐃𝐚𝐭𝐚 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 (𝐒/4𝐇𝐚𝐧𝐚 𝐨𝐫 𝐄𝐂𝐂) ⭐ wanted🚨
Join Flying Squad @ HEINEKEN Global Shared Services

We are committed to making Heineken the

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46 2 51
3 comments
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Chris Silver ☁
@chrisbsilver
3 months ago

#Five9 accelerates the data migration process with increased efficiency and accuracy. 🚀

By automating data mapping and transformation, businesses can minimize errors and ensure

17 1 20
2 comments
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LinkedIn User
@andrewtemplemills
about 2 months ago

🚀 𝗠𝗮𝘀𝘁𝗲𝗿 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 🚀
Data migration is the backbone of any core banking system implementation. Here’s how to ensure success:

9 1 12
2 comments
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LinkedIn User
@eoogungbemi
about 2 months ago

An aspiring Data Engineer aspirant asked me a question.

Why is PySpark so important to learn?

I showed them this list:

- PySpark + DataFrame API

4 2 4
13 comments
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LinkedIn User
@sebastien-tang-salesforce
24 days ago

Data migration in global Salesforce projects is often more challenging than expected, especially when managing international teams.

Here are three common obstacles

6 2 9
3 comments
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LinkedIn User
@eoogungbemi
17 days ago

An aspiring Data Engineer aspirant asked me a question.

Why is PySpark so important to learn?

I showed them this list:

- PySpark + DataFrame API

14 1 17
2 comments
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LinkedIn User
@carl-maloney-bab29b6
4 days ago

These issues cause 38% data loss - here's how to fix it.

Yes, 38% of companies report losing crucial data during migrations.

This is caused

1 2 1
13 comments

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