Pickl AI

NOVEMBER 15, 2023

Discover the nuanced dissimilarities between Data Lakes and Data Warehouses. Data management in the digital age has become a crucial aspect of businesses, and two prominent concepts in this realm are Data Lakes and Data Warehouses. It acts as a repository for storing all the data.

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phData

NOVEMBER 8, 2024

Open Table Format (OTF) architecture now provides a solution for efficient data storage, management, and processing while ensuring compatibility across different platforms. In this blog, we will discuss: What is the Open Table format (OTF)? It can also be integrated into major data platforms like Snowflake.

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Data Lakes Data Warehouse Database Azure 52

Data Science Blog

MARCH 14, 2023

Big Data tauchte als Buzzword meiner Recherche nach erstmals um das Jahr 2011 relevant in den Medien auf. Big Data wurde zum Business-Sprech der darauffolgenden Jahre. In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt. Retrieved August 1, 2020.

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DagsHub

DECEMBER 11, 2023

Best 8 data version control tools for 2023 (Source: DagsHub ) Introduction With business needs changing constantly and the growing size and structure of datasets, it becomes challenging to efficiently keep track of the changes made to the data, which leads to unfortunate scenarios such as inconsistencies and errors in data.

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Machine Learning Machine Learning Data Lakes Big Data 98

IBM Journey to AI blog

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. All phases of the data-information lifecycle.

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Data Lakes Data Warehouse Azure Apache Hadoop 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

And you should have experience working with big data platforms such as Hadoop or Apache Spark. Additionally, data science requires experience in SQL database coding and an ability to work with unstructured data of various types, such as video, audio, pictures and text.

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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.

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AWS Machine Learning Blog

DECEMBER 18, 2023

Prior joining AWS, as a Data/Solution Architect he implemented many projects in Big Data domain, including several data lakes in Hadoop ecosystem. As a Data Engineer he was involved in applying AI/ML to fraud detection and office automation.

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Clustering AWS Database ML 121

Pickl AI

AUGUST 9, 2024

A well-structured syllabus for Big Data encompasses various aspects, including foundational concepts, technologies, data processing techniques, and real-world applications. This blog aims to provide a comprehensive overview of a typical Big Data syllabus, covering essential topics that aspiring data professionals should master.

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Alation

FEBRUARY 20, 2020

As a cornerstone of your data architecture the EDM is a serious undertaking whether it is enabled by building on existing technologies or by deploying a single tool that includes all of the functions needed to successfully implement one. Here’s how The Eckerson Group breaks it down: Subscribe to Alation's Blog.

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The MLOps Blog

JANUARY 23, 2023

These tools may have their own versioning system, which can be difficult to integrate with a broader data version control system. For instance, our data lake could contain a variety of relational and non-relational databases, files in different formats, and data stored using different cloud providers. DVC Git LFS neptune.ai

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ML ML Data Lakes Machine Learning 52

Pickl AI

JULY 30, 2024

With its user-friendly interface and robust architecture, NiFi simplifies the complexities of data integration, making it an essential component for modern data-driven enterprises. This blog delves into the fundamentals of Apache NiFi, its architecture, and how it can leverage for effective data flow management.

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ETL Data Lakes Big Data Big Data 52

Alation

MARCH 29, 2021

Finding that data is often half the battle. This is why the ability to quickly search and discover data across the enterprise is the first step towards data-driven decision making. In this blog, we will discuss how data catalogs accelerate search & discovery. Subscribe to Alation's Blog.

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Machine Learning Machine Learning Data Lakes Hadoop 59

Pickl AI

JANUARY 28, 2025

Introduction Business Intelligence (BI) architecture is a crucial framework that organizations use to collect, integrate, analyze, and present business data. This architecture serves as a blueprint for BI initiatives, ensuring that data-driven decision-making is efficient and effective.

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phData

AUGUST 9, 2023

If you’ve been watching how Snowflake Data Cloud has been growing and changing over the years, you’ll see that two tools have made very large impacts on the Modern Data Stack: Fivetran and dbt. Data volumes exploded as web, mobile, and IoT took off. ETL systems just couldn’t handle the massive flows of raw data.

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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. Data Warehousing concepts and knowledge should be strong.

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Alation

FEBRUARY 13, 2020

.” Part of GoDaddy’s transformation was to get the right customer data consolidated in one place and make it accessible to every employee for data-driven decision making. This meant a large Hadoop deployment, self-service analytics tools available to every employee with Tableau, and a data catalog from Alation.

Decision Science 59

Decision Science Analytics Analytics Data Science 59

Pickl AI

JULY 8, 2024

Summary: This blog explains how to build efficient data pipelines, detailing each step from data collection to final delivery. Introduction Data pipelines play a pivotal role in modern data architecture by seamlessly transporting and transforming raw data into valuable insights.

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phData

FEBRUARY 5, 2024

In this blog, we’re going to answer these questions and more. Walking you through the biggest challenges we have found when migrating our customer’s data from a legacy system to Snowflake. 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.

SQL 52

SQL Database Data Quality Data Warehouse 52

IBM Journey to AI blog

JULY 5, 2023

Data Lakes have been around for well over a decade now, supporting the analytic operations of some of the largest world corporations. Such data volumes are not easy to move, migrate or modernize. The challenges of a monolithic data lake architecture Data lakes are, at a high level, single repositories of data at scale.

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phData

SEPTEMBER 20, 2023

This blog was originally written by Keith Smith and updated for 2023 by Nick Goble & Dominick Rocco. You’ve probably heard of the Snowflake Data Cloud , but did you know that Snowflake also offers a revolutionary set of libraries and runtimes called Snowpark? What is Snowflake’s Snowpark?

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SQL Python Data Lakes Machine Learning 98

IBM Journey to AI blog

SEPTEMBER 25, 2023

But what most people don’t realize is that behind the scenes, Uber is not just a transportation service; it’s a data and analytics powerhouse. Every day, millions of riders use the Uber app, unwittingly contributing to a complex web of data-driven decisions. This enables them to batch queries based on speed or accuracy.

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Alation

AUGUST 4, 2022

And where data was available, the ability to access and interpret it proved problematic. Big data can grow too big fast. Left unchecked, data lakes became data swamps. Some data lake implementations required expensive ‘cleansing pumps’ to make them navigable again. Subscribe to Alation's Blog.

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Big Data Big Data Apache Kafka Data Lakes 95

DataRobot Blog

OCTOBER 3, 2017

This highlights the two companies’ shared vision on self-service data discovery with an emphasis on collaboration and data governance. 2) When data becomes information, many (incremental) use cases surface. Paxata booth visitors encompassed a broad range of roles, all with data responsibility in some shape or form.

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