AltexSoft

JULY 18, 2023

Big data processing. In the realm of big data, Apache Spark’s speed and resilience, primarily due to its in-memory computing capabilities and fault tolerance, allow for the fast processing of large data volumes, which can often range into petabytes. Here are some of the possible use cases.

Big Data 52

Big Data Data Process Process Hadoop 52

Cloudera

OCTOBER 19, 2023

Telecommunications companies are currently executing on ambitious digital transformation, network transformation, and AI-driven automation efforts. Second , telcos must be able to “push out” data processing so it takes place closer to the connected devices that generate telemetry data, reducing data latency and minimizing traffic.

Telecommunication 76

Telecommunication Data Architecture Government Architecture 76

Cloudera

NOVEMBER 29, 2021

eMAG , a Romania-based retailer seen as a pioneer in e-commerce, was struggling to manage the tremendously large amount of data coming in every second. The company needed a modern data architecture to manage the growing traffic effectively. . This creates long delays in data processing, which halts efficient functioning. .

Data Lake 77

Data Lake Telecommunication Retail Data 77

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. Connect the Data Lifecycle . Winner: Globe Telecom.

Medical 123

Medical Banking Telecommunication Government 123

Knowledge Hut

NOVEMBER 28, 2023

Logistics: The average range of data scientist salaries in XPO Logistics is about ₹16,24,673 - ₹22,05,048. Finance: The average salary of a data scientist in a leading finance company like Bajaj Finance in India is about ₹4-6 lakh. Their job is to use this data to offer solutions to the organization as needed.

Data Science 52

Data Science Telecommunication Recruitment Finance 52

Rockset

FEBRUARY 24, 2023

Introduction Let’s get this out of the way at the beginning: understanding effective streaming data architectures is hard, and understanding how to make use of streaming data for analytics is really hard. Stream processing or an OLAP database? Streaming data has been around for decades. Kafka or Kinesis ?

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52

phData: Data Engineering

SEPTEMBER 27, 2024

It enables advanced analytics, makes debugging your marketing automations easier, provides natural audit trails for compliance, and allows for flexible, evolving customer data models. So next time you’re designing your customer data architecture in your CDP, don’t just think about the current state of your customers.

Data 52

Data Raw Data Data Lake Architecture 52