Precisely

JANUARY 9, 2025

Then came Big Data and Hadoop! The traditional data warehouse was chugging along nicely for a good two decades until, in the mid to late 2000s, enterprise data hit a brick wall. The big data boom was born, and Hadoop was its poster child. A data lake!

Data Warehouse 119

Data Warehouse Hadoop Data Governance Data Lakes 119

Pickl AI

FEBRUARY 23, 2025

Summary: Big Data tools empower organizations to analyze vast datasets, leading to improved decision-making and operational efficiency. Ultimately, leveraging Big Data analytics provides a competitive advantage and drives innovation across various industries.

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52

Smart Data Collective

OCTOBER 14, 2019

From the tech industry to retail and finance, big data is encompassing the world as we know it. More organizations rely on big data to help with decision making and to analyze and explore future trends. Big Data Skillsets. They’re looking to hire experienced data analysts, data scientists and data engineers.

Big Data 99

Big Data Big Data Apache Hadoop Hadoop 99

Data Science Dojo

JULY 6, 2023

It supports various data types and offers advanced features like data sharing and multi-cluster warehouses. Amazon Redshift: Amazon Redshift is a cloud-based data warehousing service provided by Amazon Web Services (AWS). It provides a scalable and fault-tolerant ecosystem for big data processing.

Data Engineering 195

Data Engineering Data Engineer Data Engineering Data Engineering 195

Data Science Dojo

JANUARY 12, 2023

It can process any type of data, regardless of its variety or magnitude, and save it in its original format. Hadoop systems and data lakes are frequently mentioned together. However, instead of using Hadoop, data lakes are increasingly being constructed using cloud object storage services.

Data Lakes 221

Data Lakes Data Warehouse Hadoop Machine Learning 221

Pickl AI

JANUARY 27, 2025

Summary: HDFS in Big Data uses distributed storage and replication to manage massive datasets efficiently. By co-locating data and computations, HDFS delivers high throughput, enabling advanced analytics and driving data-driven insights across various industries. It fosters reliability. between 2024 and 2030.

Hadoop 52

Hadoop Big Data Big Data Clustering 52

Pickl AI

JUNE 18, 2023

Hadoop has become a highly familiar term because of the advent of big data in the digital world and establishing its position successfully. The technological development through Big Data has been able to change the approach of data analysis vehemently. What is Hadoop? Let’s find out from the blog!

Hadoop 52

Hadoop Big Data Big Data Clustering 52

Pickl AI

SEPTEMBER 19, 2024

Summary: This article compares Spark vs Hadoop, highlighting Spark’s fast, in-memory processing and Hadoop’s disk-based, batch processing model. It discusses performance, use cases, and cost, helping you choose the best framework for your big data needs. What is Apache Hadoop?

Hadoop 52

Hadoop Big Data Big Data Clustering 52

Smart Data Collective

APRIL 8, 2020

The company works consistently to enhance its business intelligence solutions through innovative new technologies including Hadoop-based services. Big data and data warehousing. With such large amounts of data available across industries, the need for efficient big data analytics becomes paramount.

Data Warehouse 144

Data Warehouse Big Data Big Data Big Data Analytics 144

Smart Data Collective

AUGUST 29, 2019

Are you considering a career in big data ? Get ICT Training to Thrive in a Career in Big Data. Data is a big deal. Many of the world’s biggest companies – like Amazon and Google have harnessed data to help them build colossal businesses that dominate their sectors. Online Courses.

Big Data 86

Big Data Big Data Big Data Analytics Big Data Analytics 86

Dataconomy

FEBRUARY 23, 2023

Data engineers play a crucial role in managing and processing big data. They are responsible for designing, building, and maintaining the infrastructure and tools needed to manage and process large volumes of data effectively. They must also ensure that data privacy regulations, such as GDPR and CCPA , are followed.

Big Data 91

Big Data Big Data Data Engineering Data Engineer 91

Pickl AI

JULY 6, 2023

Here comes the role of Hive in Hadoop. Hive is a powerful data warehousing infrastructure that provides an interface for querying and analyzing large datasets stored in Hadoop. In this blog, we will explore the key aspects of Hive Hadoop. What is Hadoop ? Thus ensuring optimal performance.

Hadoop 52

Hadoop SQL Big Data Big Data 52

Pickl AI

DECEMBER 9, 2024

Summary: This article provides a comprehensive guide on Big Data interview questions, covering beginner to advanced topics. Introduction Big Data continues transforming industries, making it a vital asset in 2025. The global Big Data Analytics market, valued at $307.51 What is Big Data?

Big Data 52

Big Data Big Data Hadoop Apache Kafka 52

Pickl AI

SEPTEMBER 17, 2024

Summary: This blog delves into the multifaceted world of Big Data, covering its defining characteristics beyond the 5 V’s, essential technologies and tools for management, real-world applications across industries, challenges organisations face, and future trends shaping the landscape.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

AUGUST 9, 2024

Summary: A comprehensive Big Data syllabus encompasses foundational concepts, essential technologies, data collection and storage methods, processing and analysis techniques, and visualisation strategies. Fundamentals of Big Data Understanding the fundamentals of Big Data is crucial for anyone entering this field.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

O'Reilly Media

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Hadoop 136

Hadoop Algorithm ML ML 136

Pickl AI

DECEMBER 2, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Flipboard

NOVEMBER 17, 2023

Set up a MongoDB cluster To create a free tier MongoDB Atlas cluster, follow the instructions in Create a Cluster. Delete the MongoDB Atlas cluster. Prior joining AWS, as a Data/Solution Architect he implemented many projects in Big Data domain, including several data lakes in Hadoop ecosystem.

K-nearest Neighbors 170

K-nearest Neighbors AWS Clustering Database 170

Pickl AI

JANUARY 30, 2025

Summary: Map Reduce Architecture splits big data into manageable tasks, enabling parallel processing across distributed nodes. This design ensures scalability, fault tolerance, faster insights, and maximum performance for modern high-volume data challenges. billion in 2023 and will likely expand at a CAGR of 14.9%

Big Data 52

Big Data Big Data Hadoop AWS 52

Data Science Dojo

AUGUST 30, 2023

From decision trees and neural networks to regression models and clustering algorithms, a variety of techniques come under the umbrella of machine learning. Big data processing With the increasing volume of data, big data technologies have become indispensable for Applied Data Science.

Data Science 195

Data Science Hypothesis Testing Machine Learning Machine Learning 195

Smart Data Collective

SEPTEMBER 8, 2021

Extract : In this step, data is extracted from a vast array of sources present in different formats such as Flat Files, Hadoop Files, XML, JSON, etc. The extracted data is then stored in a staging area where further transformations are carried out. Therefore, the data is thoroughly checked before loading onto a Data Warehouse.

ETL 126

ETL Hadoop Data Warehouse Data Pipeline 126

Smart Data Collective

SEPTEMBER 13, 2020

Big data is becoming more important to modern marketing. You can’t afford to ignore the benefits of data analytics in your marketing campaigns. Search Engine Watch has a great article on using data analytics for SEO. Keep in mind that big data drives search engines in 2020. Why Does Link Building Matter?

Analytics 121

Analytics Analytics Big Data Big Data 121

Dataconomy

MAY 16, 2025

Data mining This technique focuses on discovering patterns and relationships within large datasets, providing valuable insights across various industries. Sentiment analysis By analyzing text data, businesses can gauge customer emotions towards their brands, aiding in reputation management.

Analytics 91

Analytics Analytics Big Data Analytics Big Data Analytics 91

Smart Data Collective

NOVEMBER 8, 2020

Big data is changing the future of almost every industry. The market for big data is expected to reach $23.5 Data science is an increasingly attractive career path for many people. If you want to become a data scientist, then you should start by looking at the career options available. billion by 2025.

Data Engineering 104

Data Engineering Data Engineer Data Engineering Data Engineering 104

AWS Machine Learning Blog

DECEMBER 18, 2023

Prerequisites For this solution we use MongoDB Atlas to store time series data, Amazon SageMaker Canvas to train a model and produce forecasts, and Amazon S3 to store data extracted from MongoDB Atlas. The following screenshots shows the setup of the data federation. Setup the Database access and Network access.

Clustering 129

Clustering AWS Database ML 129

Analytics Vidhya

DECEMBER 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered how Instagram recommends similar kinds of reels while you are scrolling through your feed or ad recommendations for similar products that you were browsing on Amazon?

Apache Kafka 315

Apache Kafka Data Science Analytics Analytics 315

Pickl AI

NOVEMBER 4, 2024

It offers simple and efficient tools for data mining and Data Analysis. Scikit-learn covers various classification , regression , clustering , and dimensionality reduction algorithms. Here are three critical areas worth exploring: Machine Learning, Data Visualisation, and Big Data.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Analytics Vidhya

APRIL 28, 2023

It is a famous Scala-coded data processing tool that offers low latency, extensive throughput, and a unified platform to handle the data in real-time. Introduction Apache Kafka is an open-source publish-subscribe messaging application initially developed by LinkedIn in early 2011.

Apache Kafka 289

Apache Kafka Analytics Analytics Hadoop 289

Dataconomy

JULY 24, 2023

Machine learning Machine learning is a key part of data science. It involves developing algorithms that can learn from and make predictions or decisions based on data. Familiarity with regression techniques, decision trees, clustering, neural networks, and other data-driven problem-solving methods is vital.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

phData

NOVEMBER 8, 2024

For instance, partition pruning, data skipping, and columnar storage formats (like Parquet and ORC) allow efficient data retrieval, reducing scan times and query costs. This is invaluable in big data environments, where unnecessary scans can significantly drain resources.

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

Pickl AI

JANUARY 12, 2025

4 Steps to Combine Both Approaches Data-driven and AI-driven modelling involves integration in well-defined, structured steps where each surely can assure a mix of efficiency and insight with a broader view. Unify Data Sources Collect data from multiple systems into one cohesive dataset.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Data Science Dojo

JULY 3, 2024

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

phData

SEPTEMBER 20, 2023

Most importantly, Snowpark helps developers leverage Snowflake’s computing power to ship their code to the data rather than exporting data to run in other environments where big data is a second-class citizen. This can be a major optimization. In fact, we’ve seen Snowpark accelerate workloads by up to 99 percent!

SQL 98

SQL Python Data Lakes Machine Learning 98

AWS Machine Learning Blog

FEBRUARY 13, 2024

Note the following calculations: The size of the global batch is (number of nodes in a cluster) * (number of GPUs per node) * (per batch shard) A batch shard (small batch) is a subset of the dataset assigned to each GPU (worker) per iteration BigBasket used the SMDDP library to reduce their overall training time.

AWS 136

AWS AI AI ML 136

Pickl AI

JULY 25, 2023

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Mlearning.ai

MAY 23, 2023

A good course to upskill in this area is — Machine Learning Specialization Data Visualization The ability to effectively communicate insights through data visualization is important. Additionally, knowledge of model evaluation, hyperparameter tuning, and model selection is valuable.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52