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 Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Becoming Human

JANUARY 23, 2023

And for searching the term you landed on multiple blogs, articles as well YouTube videos, because this is a very vast topic, or I, would say a vast Industry. I’m not saying those are incorrect or wrong even though every article has its mindset behind the term ‘ Data Science ’.

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Pickl AI

AUGUST 9, 2024

This blog aims to provide a comprehensive overview of a typical Big Data syllabus, covering essential topics that aspiring data professionals should master. Some of the most notable technologies include: Hadoop An open-source framework that allows for distributed storage and processing of large datasets across clusters of computers.

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Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

JULY 30, 2024

This blog delves into the fundamentals of Apache NiFi, its architecture, and how it can leverage for effective data flow management. Its visual interface allows users to design complex ETL workflows with ease. What is Apache NiFi? Apache NiFi is used for automating the flow of data between systems.

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ETL Data Lakes Big Data Big Data 52

Pickl AI

JANUARY 28, 2025

In this blog, we will explore the components, benefits, and examples of BI architecture while keeping the language simple and easy to understand. By consolidating data from over 10,000 locations and multiple websites into a single Hadoop cluster, Walmart can analyse customer purchasing trends and optimize inventory management.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

IBM Journey to AI blog

AUGUST 29, 2024

Integration: Integrates seamlessly with other data systems and platforms, including Apache Kafka, Spark, Hadoop and various databases. Enrich your event analytics, leverage advanced ETL operations and respond to increasing business needs more quickly and efficiently.

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Pickl AI

NOVEMBER 15, 2023

It involves the extraction, transformation, and loading (ETL) process to organize data for business intelligence purposes. Through the Extract, Transform, Load (ETL) process, raw and disparate data is transformed into a structured format, making it easily accessible and ready for analysis. What is a Data Lake in ETL?

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Data Lakes Data Warehouse Database ETL 52

Pickl AI

JULY 8, 2024

Summary: This blog explains how to build efficient data pipelines, detailing each step from data collection to final delivery. This blog explains how to build data pipelines and provides clear steps and best practices. This step often involves: ETL Processes: Extracting, transforming, and loading data into a target system.

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Data Pipeline Data Quality Database Apache Kafka 52

Pickl AI

APRIL 6, 2023

The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. In-depth knowledge of distributed systems like Hadoop and Spart, along with computing platforms like Azure and AWS. Strong programming language skills in at least one of the languages like Python, Java, R, or Scala.

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Azure Data Engineering Data Engineering Data Engineer 52

IBM Journey to AI blog

JANUARY 18, 2023

While traditional data warehouses made use of an Extract-Transform-Load (ETL) process to ingest data, data lakes instead rely on an Extract-Load-Transform (ELT) process. This adds an additional ETL step, making the data even more stale. appeared first on Journey to AI Blog. Data lakehouse was created to solve these problems.

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Data Lakes Data Warehouse Azure Apache Hadoop 52

phData

FEBRUARY 5, 2024

In this blog, we’re going to answer these questions and more. You’re in luck because this blog is for anyone ready to move or thinking about moving to Snowflake who wants to know what’s in store for them. What kinds of differences am I going to find between my old system and Snowflake? Read them all. We have you covered !

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SQL Database Data Quality Data Warehouse 52

Alation

JANUARY 25, 2022

In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. In this blog, we will focus on the “integrated layer” part of this definition by examining each of the key layers of a comprehensive data fabric in more detail. Subscribe to Alation's Blog. Spoiler alert!

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The MLOps Blog

JANUARY 23, 2023

With lakeFS it is possible to test ETLs on top of production data, in isolation, without copying anything. Also, lakeFS can be used for data management, ETL testing, reproducibility for experiments, and CI/CD for data to prevent future failures.

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ML ML Data Lakes Machine Learning 52

The MLOps Blog

MAY 31, 2023

To store Image data, Cloud storage like Amazon S3 and GCP buckets, Azure Blob Storage are some of the best options, whereas one might want to utilize Hadoop + Hive or BigQuery to store clickstream and other forms of text and tabular data. One might want to utilize an off-the-shelf ML Ops Platform to maintain different versions of data.

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ML ML Algorithm Machine Learning 59

Alation

FEBRUARY 20, 2020

With blogs, anyone can now write and distribute an article and with message boards anyone can post an advertisement. Business Intelligence used to require months of effort from BI and ETL teams. Whether using Tableau, Informatica, Excel, MicroStrategy, Hadoop or Teradata to store or prepare data, data is all over the place.

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IBM Journey to AI blog

SEPTEMBER 25, 2023

This blog takes you on a journey into the world of Uber’s analytics and the critical role that Presto, the open source SQL query engine, plays in driving their success. It can ingest data from offline batch data sources (such as Hadoop and flat files) as well as online data sources (such as Kafka).

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Data Lakes Analytics Analytics Clustering 102

Alation

FEBRUARY 20, 2020

With the year coming to a close, many look back at the headlines that made major waves in technology and big data – from Spark to Hadoop to trends in data science – the list could go on and on. However, most are only deployed over one data store (Hadoop or other various backends). Subscribe to Alation's Blog.

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Data Warehouse Hadoop Data Science ETL 52

Pickl AI

MARCH 19, 2025

In this blog, well explore the best data engineering tools that make data work easier, faster, and more reliable. Apache Hive Apache Hive is a data warehouse tool that allows users to query and analyse large datasets stored in Hadoop. Hadoop : An open-source framework for processing Big Data across multiple servers.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52