Christophe Blefari

MARCH 22, 2024

Friday routine ( credits ) It's Friday and it's Data News. I don't go into too much detail about the magic of Data News, but every Friday is the same. Exploration, Friday morning I read the last 7 days of 2 Twitter lists ( MDS , Data voices ) and I open interesting stuff in tabs. on April 10. Now give me the news.

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Electronics Media Data Python 130

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

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Hadoop Deep Learning Data Science Machine Learning 89

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

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AWS Scala Metadata Data Lake 98

Towards Data Science

DECEMBER 24, 2023

My learnings from Databricks customer engagements Figure 1: a technical diagram of how to write apache spark. After working with ~15 of the largest retail organizations for the past 18 months, here are the Spark tips I commonly repeat. 0 — Quick Review Quickly, let’s review what spark does… Spark is a big data processing engine.

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Scala SQL Java Python 82

Knowledge Hut

MARCH 29, 2024

As this digitalized world is rapidly moving towards Artificial Intelligence , the generation of humongous data has become an integral part of our daily lives. The data has been and will continue to grow exponentially. With increasing data, the need to process and accumulate these large datasets becomes very critical.

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Data Lake Scala Machine Learning SQL 52

ProjectPro

FEBRUARY 16, 2023

Apache Spark is an open-source, distributed computing system for big data processing and analytics. It has become a popular big data and machine learning analytics engine. Today, the Apache Spark project has over 1,000 contributors from over 250 companies worldwide.

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Knowledge Hut

NOVEMBER 2, 2023

Azure Data engineering projects are complicated and require careful planning and effective team participation for a successful completion. While many technologies are available to help data engineers streamline their workflows and guarantee that each aspect meets its objectives, ensuring that everything works properly takes time.

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Christophe Blefari

APRIL 14, 2023

Anyway, here the weekly Data News, written faster than usual. Hot takes on the Modern Data Stack — Matt gives 5 hot takes about the MDS. This time he writes about the new marketing approach of the modern data stack ecosystem. In a nutshell they replaced Spark (EMR) in-memory transformations by BigQuery.

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Datasets Data Deep Learning SQL 130

Knowledge Hut

OCTOBER 30, 2023

Big data and Artificial Intelligence have been thriving in recent years, and the emphasis on these technologies will propel them to new heights. Companies have realized the value of big data, and various opportunities are knocking on your door. The top big data projects that you shouldn't miss are listed below.

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ProjectPro

FEBRUARY 21, 2023

With around 35k stars and over 26k forks on Github, Apache Spark is one of the most popular big data frameworks used by 22,760 companies worldwide. Apache Spark is the most efficient, scalable, and widely used in-memory data computation tool capable of performing batch-mode, real-time, and analytics operations.

Scala 52

Scala Programming Language Java Hadoop 52

LinkedIn Engineering

OCTOBER 19, 2023

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers.

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Process Lambda Architecture Kafka Machine Learning 119

Towards Data Science

MARCH 9, 2023

Code implementations for ML pipelines: from raw data to predictions Photo by Rodion Kutsaiev on Unsplash Real-life machine learning involves a series of tasks to prepare the data before the magic predictions take place. Those are the features and their respective data types: Image 1 —Features and data types.

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Machine Learning Building Datasets Scala 77

Knowledge Hut

SEPTEMBER 6, 2023

It is a well-known fact that we inhabit a data-rich world. Businesses are generating, capturing, and storing vast amounts of data at an enormous scale. This influx of data is handled by robust big data systems which are capable of processing, storing, and querying data at scale.

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Big Data Certification Hadoop Scala 52

Knowledge Hut

DECEMBER 22, 2023

Every business now incorporates data science into their operations, especially those that recognize the value of data and the potential applications of that knowledge. A data scientist's main responsibility is to draw practical conclusions from complicated data so that you may make informed business decisions.

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Portfolio Data Science Programming Language Scala 97

Knowledge Hut

DECEMBER 26, 2023

Big Data is an immense amount of data that is constantly growing exponentially. Due to its vastness and complexity, no traditional data management system can adequately store or process this data. The New York Stock Exchange, which generates one terabyte of new trade data each day, is a classic example of big data.

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Big Data Data Mining Business Intelligence Machine Learning 75

Cloudera

JUNE 10, 2021

Apache Spark is a very popular analytics engine used for large-scale data processing. It is widely used for many big data applications and use cases. To know more about Apache Spark in CDP and CDP Operational Database Experience, see Apache Spark Overview and CDP Operational Database Experience Overview.

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Database Data Engineering Data Engineer Big Data 88

Knowledge Hut

NOVEMBER 19, 2023

One of the most important responsibilities for experts in big data is configuring the cloud to store data and provide high availability. As a result, data engineers working with big data today require a basic grasp of cloud computing platforms and tools. What Are Azure Data Engineer Tools?

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Data Engineering Data Engineer Engineering PostgreSQL 52

Towards Data Science

FEBRUARY 19, 2024

Image from Unsplash Building a Semantic Book Search: Scale an Embedding Pipeline with Apache Spark and AWS EMR Serverless Using OpenAI’s Clip model to support natural language search on a collection of 70k book covers In a previous post I did a little PoC to see if I could use OpenAI’s Clip model to build a semantic book search.

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AWS Building Bytes Python 60

Christophe Blefari

NOVEMBER 18, 2022

Scracthing the surface ( credits ) Hey you, a new Friday means data news. This week feels a bit like old data news with a variety of articles on different cool topics while I navigate through the actual data trends. Next Monday I'll present "How to build a data dream team" at Y42 meetup.

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Python Data Warehouse Data SQL 130

Towards Data Science

JANUARY 17, 2024

Parquet vs ORC vs Avro vs Delta Lake Photo by Viktor Talashuk on Unsplash The big data world is full of various storage systems, heavily influenced by different file formats. These are key in nearly all data pipelines, allowing for efficient data storage and easier querying and information extraction.

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Big Data Data Data Storage SQL 72

Data Engineering Weekly

FEBRUARY 25, 2024

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Editor’s Note: DEWCon Europe Update & Data Hero’s Chennai Chapter Meetup Last week, we asked our readers if we should bring DEWCon to Europe.

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Data Engineering Data Engineer Engineering Kafka 62

Data Science Blog: Data Engineering

JULY 4, 2022

Already familiar with the term big data, right? Despite the fact that we would all discuss Big Data, it takes a very long time before you confront it in your career. Apache Spark is a Big Data tool that aims to handle large datasets in a parallel and distributed manner.

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Hadoop Big Data Datasets Scala 52

Christophe Blefari

DECEMBER 31, 2023

However, some excellent articles have been written and I want to end 2023 with one last big wrap on these December articles. Before moving on to the Data News, a bit of personal news, in December, I took part in the MotherDuck meetup in Berlin. Enjoy this last 2023 Data News. We're going to get to know each other.

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Data Cloud Storage Datasets Python 100

Data Engineering Podcast

JUNE 16, 2019

Summary Building and maintaining a data lake is a choose your own adventure of tools, services, and evolving best practices. The flexibility and freedom that data lakes provide allows for generating significant value, but it can also lead to anti-patterns and inconsistent quality in your analytics.

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Data Lake Lambda Architecture Data Warehouse Hadoop 100

ProjectPro

JANUARY 25, 2022

Did you know that, according to Linkedin, over 24,000 Big Data jobs in the US list Apache Spark as a required skill? Learning Spark has become more of a necessity to enter the Big Data industry. Apache Spark is one of the most popular frameworks for managing and dealing with Big Data.

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Big Data Data Process Process Kafka 52

ProjectPro

NOVEMBER 15, 2021

.” From month-long open-source contribution programs for students to recruiters preferring candidates based on their contribution to open-source projects or tech-giants deploying open-source software in their organization, open-source projects have successfully set their mark in the industry.

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Big Data Project Metadata Programming Language 52

Data Engineering Weekly

MARCH 3, 2024

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Editor’s Note: Chennai, India Meetup - March-08 Update We are thankful to Ideas2IT to host our first Data Hero’s meetup.

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Cloudera

MAY 5, 2021

Apache YuniKorn (Incubating) has just released 0.10.0 ( release announcement ). By leveraging the Gang Scheduling feature, Spark jobs scheduling on Kubernetes becomes more efficient. What is Apache YuniKorn (Incubating)? Schedule Spark jobs with Gang Scheduling. What is Gang Scheduling?

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Metadata Algorithm Big Data Machine Learning 135

Knowledge Hut

MARCH 7, 2024

Introduction to Big Data Analytics Tools Big data analytics tools refer to a set of techniques and technologies used to collect, process, and analyze large data sets to uncover patterns, trends, and insights. Importance of Big Data Analytics Tools Using Big Data Analytics has a lot of benefits.

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Big Data Data Analytics Data Mining MongoDB 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is the need for Data Science?

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Data Engineering Data Engineer Engineering Pipeline-centric 83

ProjectPro

FEBRUARY 18, 2022

The big data analytics market is expected to grow at a CAGR of 13.2 This indicates that more businesses will adopt the tools and methodologies useful in big data analytics, including implementing the ETL pipeline. Let us now understand why the ETL pipelines hold such great value in Data Science and Analytics.

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Project AWS Kafka Healthcare 52

Knowledge Hut

JANUARY 29, 2024

Some techniques add to the development of technology in the business sectors, including Data Science and Cloud Computing, essential aspects of the technology industry. With the help of data science, one can gather all the critical analyses from vast chunks of data stored in clouds. In this model, the data is not 100% secure.

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Cloud Computing Data Science Cloud Amazon Web Services 76

Knowledge Hut

NOVEMBER 3, 2023

The need for efficient and agile data management products is higher than ever before, given the ongoing landscape of data science changes. MongoDB is a NoSQL database that’s been making rounds in the data science community. Let us see where MongoDB for Data Science can help you. What is MongoDB for Data Science?

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ProjectPro

JANUARY 24, 2023

With over 20 pre-built connectors and 40 pre-built transformers, AWS Glue is an extract, transform, and load (ETL) service that is fully managed and allows users to easily process and import their data for analytics. You can leverage AWS Glue to discover, transform, and prepare your data for analytics.

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AWS Data Lake Scala ETL Tools 52

ProjectPro

JANUARY 24, 2023

With over 80 in-built connectors and data sources, 90 in-built transformations, and the ability to process 2GB of data per hour, Azure data factory dataflows have become the de facto choice for organizations to integrate and transform data from various sources at scale.

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Retail Big Data Data Pipeline Media 52

ProjectPro

SEPTEMBER 9, 2021

Apache Hive and Apache Spark are the two popular Big Data tools available for complex data processing. To effectively utilize the Big Data tools, it is essential to understand the features and capabilities of the tools. Spark SQL, for instance, enables structured data processing with SQL.

Hadoop 52

Hadoop Big Data Tools Java SQL 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

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Data Engineering Data Engineer Engineering Amazon Web Services 52