Data Science 101

MARCH 7, 2020

Azure HDInsight now supports Apache analytics projects This announcement includes Spark, Hadoop, and Kafka. The frameworks in Azure will now have better security, performance, and monitoring. The first course in the Mastering Azure Machine Learning sequence has been released. I might have to join in the future.

Cloud Data 118

Cloud Data Data Science Azure Hadoop 118

Analytics Vidhya

NOVEMBER 7, 2022

In November, Analytics Vidhya is back […]. The post Data Science Blogathon 26th Edition appeared first on Analytics Vidhya. Well, it’s okay because we are back with another blogathon where you can share your wisdom on numerous data science topics and connect with the community of fellow enthusiasts.

Data Science 306

Data Science Analytics Analytics Hadoop 306

Smart Data Collective

SEPTEMBER 8, 2021

ETL is one of the most integral processes required by Business Intelligence and Analytics use cases since it relies on the data stored in Data Warehouses to build reports and visualizations. 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.

ETL 126

ETL Hadoop Data Warehouse Data Pipeline 126

Pickl AI

JUNE 5, 2025

The role demands both technical skills and business acumen, as Indian companies increasingly seek professionals who can align analytics with strategic goals. Big Data Technologies: Familiarity with Hadoop, Apache Spark, and cloud platforms like AWS, Azure, and Google Cloud is increasingly important as Indian companies scale data operations.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

Pickl AI

FEBRUARY 23, 2025

Ultimately, leveraging Big Data analytics provides a competitive advantage and drives innovation across various industries. Competitive Advantage Organisations that leverage Big Data Analytics can stay ahead of the competition by anticipating market trends and consumer preferences. Use Cases : Yahoo!

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52

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 ? Hive is a data warehousing infrastructure built on top of Hadoop.

Hadoop 52

Hadoop SQL Big Data Big Data 52

Pickl AI

APRIL 6, 2023

Accordingly, one of the most demanding roles is that of Azure Data Engineer Jobs that you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. How to Become an Azure Data Engineer?

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Azure Data Engineering Data Engineer Data Engineering 52

phData

NOVEMBER 8, 2024

These systems are built on open standards and offer immense analytical and transactional processing flexibility. However, this feature becomes an absolute must-have if you are operating your analytics on top of your data lake or lakehouse. It provided ACID transactions and built-in support for real-time analytics.

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

How to Learn Machine Learning

APRIL 26, 2025

The responsibilities of this phase can be handled with traditional databases (MySQL, PostgreSQL), cloud storage (AWS S3, Google Cloud Storage), and big data frameworks (Hadoop, Apache Spark). such data resources are cleaned, transformed, and analyzed by using tools like Python, R, SQL, and big data technologies such as Hadoop and Spark.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

ODSC - Open Data Science

MAY 31, 2023

It is typically a single store of all enterprise data, including raw copies of source system data and transformed data used for tasks such as reporting, visualization, advanced analytics, and machine learning. All processing and machine-learning-related tasks are implemented in the analytics platform.

Data Lakes 131

Data Lakes Machine Learning Machine Learning Apache Kafka 131

Mlearning.ai

MARCH 15, 2023

This article will serve as an ultimate guide to choosing between Data Science and Data Analytics. Some individuals are confused about the right path to choose between the two lucrative careers —  Data Science and Data Analytics. Experience with cloud platforms like; AWS, AZURE, etc.

Data Science 52

Data Science Analytics Analytics Data Analyst 52

O'Reilly Media

SEPTEMBER 15, 2021

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. As we’ll see later, cloud certifications (specifically in AWS and Microsoft Azure) were the most popular and appeared to have the largest effect on salaries. Many respondents acquired certifications. What about Kafka?

AI 145

AI AI Azure AWS 145

Precisely

MARCH 9, 2023

As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. Hadoop, Snowflake, Databricks and other products have rapidly gained adoption.

Data Lakes 59

Data Lakes Data Warehouse Hadoop Big Data 59

Pickl AI

APRIL 21, 2025

Big Data technologies include Hadoop, Spark, and NoSQL databases. Big Data Technologies Enable Data Science at Scale Tools like Hadoop and Spark were developed specifically to handle the challenges of Big Data. Key Takeaways Big Data focuses on collecting, storing, and managing massive datasets.

Big Data 52

Big Data Big Data Data Science Machine Learning 52

Pickl AI

MARCH 19, 2025

It is commonly used for analytics and business intelligence, helping organisations make data-driven decisions. Apache Hive Apache Hive is a data warehouse tool that allows users to query and analyse large datasets stored in Hadoop. Some of them include: Elasticsearch : A search and analytics engine used for log and text analysis.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

phData

MARCH 7, 2023

#gg.eventhandler.hdfs.finalizeAction=delete #TODO: Edit snowflake storage integration to access Azure Blob Storage. share/hadoop/common/*:hadoop-3.2.1/share/hadoop/common/lib/*:hadoop-3.2.1/share/hadoop/hdfs/*:hadoop-3.2.1/share/hadoop/hdfs/lib/*:hadoop-3.2.1/etc/hadoop/:hadoop-3.2.1/share/hadoop/tools/lib/* gg.classpath=./snowflake-jdbc-3.13.7.jar:hadoop-3.2.1/share/hadoop/common/*:hadoop-3.2.1/share/hadoop/common/lib/*:hadoop-3.2.1/share/hadoop/hdfs/*:hadoop-3.2.1/share/ha

Hadoop 59

Hadoop Database Data Warehouse AWS 59

Smart Data Collective

AUGUST 29, 2019

With courses that cover areas from Microsoft’s Azure platform to Hadoop, EDX has a course for almost every big data specialty. Edge Hill University – MSc Big Data Analytics. Birmingham City University – MSc Big Data Analytics.

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Big Data Big Data Big Data Analytics Big Data Analytics 87

Pickl AI

NOVEMBER 4, 2024

It involves developing data pipelines that efficiently transport data from various sources to storage solutions and analytical tools. OLAP (Online Analytical Processing): OLAP tools allow users to analyse data from multiple perspectives. Apache Spark Spark is a fast, open-source data processing engine that works well with Hadoop.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

DECEMBER 2, 2024

Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Processing frameworks like Hadoop enable efficient data analysis across clusters. Analytics tools help convert raw data into actionable insights for businesses.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Processing frameworks like Hadoop enable efficient data analysis across clusters. Analytics tools help convert raw data into actionable insights for businesses.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

ODSC - Open Data Science

JUNE 7, 2023

Microsoft’s Azure Data Lake The Azure Data Lake is considered to be a top-tier service in the data storage market. Amazon Web Services Similar to Azure, Amazon Simple Storage Service is an object storage service offering scalability, data availability, security, and performance.

Data Lakes 52

Data Lakes Azure Data Warehouse Hadoop 52

Smart Data Collective

NOVEMBER 8, 2020

Spark outperforms old parallel systems such as Hadoop, as it is written using Scala and helps interface with other programming languages and other tools such as Dask. Regardless, the database uses parallel processing to complete analytical queries. That said, a commonly used parallel data processing engine is the Apache Spark.

Data Engineering 104

Data Engineering Data Engineer Data Engineering Data Engineering 104

Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Cloud Computing : Utilizing cloud services for data storage and processing, often covering platforms such as AWS, Azure, and Google Cloud.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

NOVEMBER 5, 2024

Before moving further, do you know the difference between Business Intelligence and Business Analytics ? Its popularity stems from its user-friendly interface and seamless integration with widely used Microsoft applications like Excel and Azure, making it highly accessible for organisations already using Microsoft products.

Power BI 52

Power BI Tableau Business Intelligence Business Intelligence 52

DataRobot Blog

OCTOBER 3, 2017

Many announcements at Strata centered on product integrations, with vendors closing the loop and turning tools into solutions, most notably: A Paxata-HDInsight solution demo, where Paxata showcased the general availability of its Adaptive Information Platform for Microsoft Azure. Alation and Paxata announced their product integration.

Data Lakes 52

Data Lakes Azure Data Pipeline Hadoop 52

Pickl AI

JULY 25, 2023

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. Big Data Technologies: Hadoop, Spark, etc. Big Data Processing: Apache Hadoop, Apache Spark, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

JANUARY 13, 2025

Key Skills Experience with cloud platforms (AWS, Azure). Strong analytical skills for identifying vulnerabilities. Strong analytical skills for interpreting complex datasets. Hadoop , Apache Spark ) is beneficial for handling large datasets effectively. They ensure that AI systems are scalable and efficient.

AI 52

AI AI Machine Learning Machine Learning 52

IBM Journey to AI blog

JANUARY 18, 2023

This is an architecture that’s well suited for the cloud since AWS S3 or Azure DLS2 can provide the requisite storage. It can include technologies that range from Oracle, Teradata and Apache Hadoop to Snowflake on Azure, RedShift on AWS or MS SQL in the on-premises data center, to name just a few. Differences exist also.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 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. Data privacy regulations will shape how organisations handle sensitive information in analytics. Continuous learning and adaptation will be essential for data professionals.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

JUNE 7, 2024

A suitable tool ensures high data quality for accurate analytics and informed decision-making. Key Features Out-of-the-Box Connectors: Includes connectors for databases like Hadoop, CRM systems, XML, JSON, and more. Cost Considerations: Implementing and maintaining Hadoop clusters can incur significant costs.

ETL 40

ETL Data Quality Data Pipeline Data Warehouse 40

Mlearning.ai

JANUARY 28, 2023

Spark: Spark is a popular platform used for big data processing in the Hadoop ecosystem. Using a cloud provider such as Google Cloud Platform, Amazon AWS, Azure Cloud, or IBM SoftLayer 2. Deploying a machine learning library in the cloud can be difficult.

Machine Learning 52

Machine Learning Machine Learning Data Science ML 52

Pickl AI

APRIL 2, 2024

There are three main types, each serving a distinct purpose: Descriptive Analytics (Business Intelligence): This focuses on understanding what happened. Prescriptive Analytics (Decision Science): This goes beyond prediction, using data to recommend specific actions. ” or “What are our customer demographics?”

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

Pickl AI

MARCH 11, 2025

Both technologies complement each other by enabling real-time analytics and efficient data handling. Cloud platforms like AWS and Azure support Big Data tools, reducing costs and improving scalability. Companies like Amazon Web Services (AWS) and Microsoft Azure provide this service. Google App Engine is an example.

Cloud Computing 52

Cloud Computing Big Data Big Data Big Data Analytics 52

Pickl AI

NOVEMBER 28, 2024

Cloud platforms like AWS , Google Cloud Platform (GCP), and Microsoft Azure provide managed services for Machine Learning, offering tools for model training, storage, and inference at scale. Big Data Tools Integration Big data tools like Apache Spark and Hadoop are vital for managing and processing massive datasets.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

DagsHub

OCTOBER 23, 2024

A central repository for unstructured data is beneficial for tasks like analytics and data virtualization. Tools and Techniques to Manage Unstructured Data Several tools are required to properly manage unstructured data, from storage to analytical tools. Popular data lake solutions include Amazon S3 , Azure Data Lake , and Hadoop.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

ODSC - Open Data Science

JANUARY 7, 2025

Scikit-learn also earns a top spot thanks to its success with predictive analytics and general machine learning. Hadoop, though less common in new projects, is still crucial for batch processing and distributed storage in large-scale environments. Kafka remains the go-to for real-time analytics and streaming.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

DagsHub

NOVEMBER 11, 2024

Video analytics enable object detection, motion tracking, and behavioural analysis for security, traffic monitoring, or customer engagement insights. At the same time, the identical set of words could be considered noise in formal text analytics. These processes are essential in AI-based big data analytics and decision-making.

AI 52

AI AI Data Lakes Database 52