Data Science Blog

JUNE 27, 2023

Big Data Analytics stands apart from conventional data processing in its fundamental nature. In the realm of Big Data, there are two prominent architectural concepts that perplex companies embarking on the construction or restructuring of their Big Data platform: Lambda architecture or Kappa architecture.

Big Data 130

Big Data Big Data Apache Kafka Database 130

AWS Machine Learning Blog

APRIL 19, 2023

Businesses are increasingly using machine learning (ML) to make near-real-time decisions, such as placing an ad, assigning a driver, recommending a product, or even dynamically pricing products and services. Apache Flink is a popular framework and engine for processing data streams.

ML 98

ML ML Apache Kafka SQL 98

Pickl AI

AUGUST 9, 2024

Additionally, students should grasp the significance of Big Data in various sectors, including healthcare, finance, retail, and social media. Understanding the implications of Big Data analytics on business strategies and decision-making processes is also vital.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

SEPTEMBER 18, 2024

This blog explores how Netflix applies Big Data across its business operations, focusing on its infrastructure, content strategies, customer engagement, operational efficiency, marketing insights, security measures, and future challenges. Data at Rest This includes storage solutions such as S3 Data Warehouse and Cassandra.

Big Data 52

Big Data Big Data Apache Kafka Big Data Analytics 52

Pickl AI

DECEMBER 4, 2024

Summary: The future of Data Science is shaped by emerging trends such as advanced AI and Machine Learning, augmented analytics, and automated processes. As industries increasingly rely on data-driven insights, ethical considerations regarding data privacy and bias mitigation will become paramount.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

JULY 20, 2023

Predictive Analytics Projects: Predictive analytics involves using historical data to predict future events or outcomes. Techniques like regression analysis, time series forecasting, and machine learning algorithms are used to predict customer behavior, sales trends, equipment failure, and more.

Analytics 40

Analytics Analytics Big Data Big Data 40

Pickl AI

DECEMBER 2, 2024

Analytics Tools Once data is stored and processed, analytics tools help organisations extract valuable insights.Analytics tools play a critical role in transforming raw data into actionable insights. In-Memory Databases: Databases such as Redis store data in memory for lightning-fast access and processing speeds.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52