AltexSoft

JUNE 7, 2021

The keyword here is distributed since the data quantities in question are too large to be accommodated and analyzed by a single computer. The framework provides a way to divide a huge data collection into smaller chunks and shove them across interconnected computers or nodes that make up a Hadoop cluster. Spark limitations.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Grouparoo

OCTOBER 6, 2021

This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams. Open question: how to seed data in a staging environment? Test system with A/A test. Be adaptable. Be adaptable.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

DataKitchen

JUNE 24, 2021

Automate the data collection and cleansing process. At GE they “used tools like statistical process control to monitor the flow of data and make sure that we were getting quality data in and flagging folks when the data quality started to suffer or drift.”. Be business-centric.

Pipeline-centric 84

Pipeline-centric Education Manufacturing Data Cleanse 84

Knowledge Hut

JULY 3, 2023

Real-time Data ingestion performs the utilization of data from various origins, does the data cleaning, validation, and preprocessing operations and at the end store it in the required format, either structured or unstructured. As real-time insights gain popularity, real-time data ingestion remains vital for companies worldwide.

Data Ingestion 52

Data Ingestion Google Cloud Media Pipeline-centric 52

Ascend.io

SEPTEMBER 14, 2023

Data engineers can find one for almost any need, from data extraction to complex transformations, ensuring that they’re not reinventing the wheel by writing code that’s already been written. In dynamic teams, where multiple stakeholders may interact with code or data pipelines, this readability becomes even more crucial.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

ProjectPro

DECEMBER 16, 2021

They need to know everything about the data and apply various mathematical and statistical tools to identify the most significant features using feature selection, feature engineering , feature transformation, etc. An essential skill for both the job roles is familiarity with various machine learning and deep learning algorithms.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Data Science 52

Knowledge Hut

JANUARY 30, 2024

Machine Data: For IoT applications, sensor data extraction is used to collect information from devices, machinery, or sensors, enabling real-time monitoring and analysis. Customer Interaction Data: In customer-centric industries, extracting data from customer interactions (e.g.,

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

Knowledge Hut

NOVEMBER 15, 2023

Skills: Python , TensorFlow, MySQL , Analytics, Machine Learning, Strategic Planning, and Data Management. Example 5: Data Scientist looking for a demanding role having the highest degree of self-motivation. Looking for a position to test my skills in implementing data-centric solutions for complicated business challenges.

Finance 98

Finance Certification Database-centric Business Intelligence 98