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. Here are few best Open-Source ETL tools on the market: Hadoop : Hadoop distinguishes itself as a general-purpose Distributed Computing platform. Conclusion.

ETL 126

ETL Hadoop Data Warehouse Data Pipeline 126

Data Science Blog

MARCH 14, 2023

In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt. Oktober 2014 ↑ The post Big Data – Das Versprechen wurde eingelöst appeared first on Data Science Blog. Big Data tauchte als Buzzword meiner Recherche nach erstmals um das Jahr 2011 relevant in den Medien auf.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

Data Science Connect

JANUARY 27, 2023

In this blog post, we will be discussing 7 tips that will help you become a successful data engineer and take your career to the next level. Reading industry blogs, participating in online forums, and attending conferences and meetups are all great ways to stay informed.

Data Engineering 130

Data Engineering Data Engineer Data Engineering Data Engineering 130

Precisely

DECEMBER 20, 2022

Let’s further explore the impact of data in this industry as we count down the top 5 financial services blog posts of 2022. #5 Many institutions need to access key customer data from mainframe applications and integrate that data with Hadoop and Spark to power advanced insights. But what does that look like in practice?

Data Governance 52

Data Governance Data Quality Big Data Big Data 52

Data Science Dojo

JULY 24, 2023

In the next sections of this blog, we will delve deeper into the technical aspects of Distributed Systems in Big Data Engineering, showcasing code snippets to illustrate how these systems work in practice. It provides fault tolerance and high throughput for Big Data storage and processing.

Big Data 195

Big Data Big Data Data Engineering Data Engineer 195

Data Science Dojo

JULY 12, 2023

In this blog, we’ll explore the defining traits, benefits, use cases, and key factors to consider when choosing between SQL and NoSQL databases. Data Storage Systems: Taking a look at Redshift, MySQL, PostGreSQL, Hadoop and others NoSQL Databases NoSQL databases are a type of database that does not use the traditional relational model.

SQL 195

SQL Database Big Data Big Data 195

Towards AI

SEPTEMBER 28, 2023

It leverages Apache Hadoop for both storage and processing. select: Projects a… Read the full blog for free on Medium. Apache Spark: Apache Spark is an open-source data processing framework for processing large datasets in a distributed manner. It does in-memory computations to analyze data in real-time.

Apache Hadoop 75

Apache Hadoop Hadoop Python SQL 75

Smart Data Collective

AUGUST 22, 2019

However, a background in data analytics, Hadoop technology or related competencies doesn’t guarantee success in this field. Consider the benefits of blogging. The first tip that he shared was on the benefits of blogging. There are a lot of things that data scientists can blog about.

Data Scientist 106

Data Scientist Data Science Hadoop Big Data 106

IBM Data Science in Practice

OCTOBER 25, 2024

This blog is about how to configure Single Sign-on(SSO) on IBM SPSS Analytic Server. Together they can provide an integrated predictive analytics platform, using data from Hadoop distributions and Spark applications. Summary This blog provides a detailed explanation of enabling Kerberos authentication on IBM SPSS Analytic Server.

Analytics 100

Analytics Analytics Database Predictive Analytics 100

Smart Data Collective

AUGUST 26, 2021

In this blog, we’ll delve deeper into the impact of data analytics on weather forecasting and find out whether it’s worth the hype. Hadoop has also helped considerably with weather forecasting. But if there’s one technology that has revolutionized weather forecasting, it has to be data analytics.

Analytics 133

Analytics Analytics Big Data Analytics Big Data Analytics 133

Alation

FEBRUARY 20, 2020

Architecturally the introduction of Hadoop, a file system designed to store massive amounts of data, radically affected the cost model of data. Disruptive Trend #1: Hadoop. More than any other advancement in analytic systems over the last 10 years, Hadoop has disrupted data ecosystems. Subscribe to Alation's Blog.

Data Lakes 52

Data Lakes Hadoop Tableau Big Data 52

phData

MARCH 7, 2023

Prerequisites In this blog, we focus on ingesting data into the Snowflake Data Cloud with GoldenGate and so we will pick up the replication process within GoldenGate. 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/*

Hadoop 59

Hadoop Database Data Warehouse AWS 59

Smart Data Collective

SEPTEMBER 23, 2020

This blog will reveal or show the difference between the data warehouse and the data lake. A big data analytic can work on data lakes with the use of Apache Spark as well as Hadoop. It is vital to know the difference between the two as they serve different principles and need diverse sets of eyes to be adequately optimized.

Data Lakes 135

Data Lakes Data Warehouse Big Data Big Data 135

Alation

FEBRUARY 20, 2020

We decided to address these needs for SQL engines over Hadoop in Alation 4.0. Alation Connect previously synced metadata and query logs from data storage systems including the Hive Metastore on Hadoop and databases from Teradata, IBM, Oracle, SqlServer, Redshift, Vertica, SAP Hana and Greenplum. Subscribe to Alation's Blog.

Hadoop 52

Hadoop SQL Database Data Analyst 52

Pickl AI

OCTOBER 27, 2024

This blog will guide you through essential considerations when selecting the best Data Science program for your needs. Big Data Technologies: Familiarity with tools like Hadoop and Spark is increasingly important. Key Takeaways Over 25,000 Data Science positions available across various industries.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

ODSC - Open Data Science

MAY 31, 2023

This blog post features a predictive maintenance use case within a connected car infrastructure, but the discussed components and architecture are helpful in any industry. Contact: kai.waehner@confluent.io / Twitter / LinkedIn.

Data Lakes 131

Data Lakes Machine Learning Machine Learning Apache Kafka 131

IBM Journey to AI blog

MARCH 21, 2024

In this blog, we’ll explore seven key strategies to optimize infrastructure for AI workloads, empowering organizations to harness the full potential of AI technologies. Leveraging distributed storage and processing frameworks such as Apache Hadoop, Spark or Dask accelerates data ingestion, transformation and analysis.

Apache Hadoop 79

Apache Hadoop AI AI Natural Language Processing 79

Smart Data Collective

SEPTEMBER 13, 2020

These Hadoop based tools archive links and keep track of them. Don’t keep building links to the same page of your site over and over; instead, build links to a mixture of different pages, including your homepage, your internal pages, and your blog posts. But if you want to build authority, you need the help of links.

Analytics 121

Analytics Analytics Big Data Big Data 121

Pickl AI

JANUARY 30, 2025

This blog aims to clarify how map reduces architecture, tackles Big Data challenges, highlights its essential functions, and showcases its relevance in real-world scenarios. Hadoop MapReduce, Amazon EMR, and Spark integration offer flexible deployment and scalability. billion in 2023 and will likely expand at a CAGR of 14.9%

Big Data 52

Big Data Big Data Hadoop AWS 52

Smart Data Collective

APRIL 24, 2023

Google’s Hadoop allowed for unlimited data storage on inexpensive servers, which we now call the Cloud. In this blog post, we will discuss the five best server backup software solutions that businesses can consider in 2023. Searching for a topic on a search engine can provide us with a vast amount of information in seconds.

Big Data 119

Big Data Big Data Hadoop Azure 119

phData

NOVEMBER 8, 2024

In this blog, we will discuss: What is the Open Table format (OTF)? The Hive format helped structure and partition data within the Hadoop ecosystem, but it had limitations in terms of flexibility and performance. Why should we use it? A Brief History of OTF A comparative study between the major OTFs. What is an Open Table Format?

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

DataRobot Blog

MAY 14, 2018

Recently I engaged in a guided “hands-on” evaluation of Infoworks, a “no code” big data engineering solution that expedites and automates Hadoop and cloud workflows. by Jen Underwood. Within four hours of logging. Read More.

Big Data 40

Big Data Big Data Data Engineering Data Engineer 40

AWS Machine Learning Blog

FEBRUARY 13, 2024

Santosh has authored notable IEEE publications and, as a seasoned tech blog author, he has also made significant contributions to the development of computer vision solutions during his tenure at Samsung. Nanda has over 18 years of experience working in Java/J2EE, Spring technologies, and big data frameworks using Hadoop and Apache Spark.

AWS 119

AWS AI AI ML 119

Data Science Blog

MAY 15, 2023

Es ist so konzipiert, dass es mit einer Vielzahl von Speichersystemen wie dem Hadoop Distributed File System (HDFS), Amazon S3 und Azure Blob Storage zusammenarbeitet. appeared first on Data Science Blog. Apache Iceberg ist auf AWS, Azure und Google Cloud Platform verfügbar. Schreiben Sie mich an! The post Was ist ein Data Lakehouse?

Data Warehouse 147

Data Warehouse Data Lakes Azure AWS 147

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

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.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 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. Your skill set should include the ability to write in the programming languages Python, SAS, R and Scala. Together, watsonx offers organizations the ability to: Train, tune and deploy AI across your business with watsonx.ai

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Data Science Dojo

JULY 3, 2024

In this blog, we will explore the arena of data science bootcamps and lay down a guide for you to choose the best data science bootcamp. Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. What do Data Science Bootcamps Offer?

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

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

Dataconomy

JULY 24, 2023

Whether you’re a seasoned tech professional looking to switch lanes, a fresh graduate planning your career trajectory, or simply someone with a keen interest in the field, this blog post will walk you through the exciting journey towards becoming a data scientist. It’s time to turn your question into a quest.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

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 ’.

Data Science 105

Data Science Big Data Big Data Deep Learning 105

O'Reilly Media

SEPTEMBER 15, 2021

64% of the respondents took part in training or obtained certifications in the past year, and 31% reported spending over 100 hours in training programs, ranging from formal graduate degrees to reading blog posts. The reasons respondents gave for participating in training were surprisingly consistent. What about Kafka?

AI 145

AI AI Azure AWS 145

Pickl AI

FEBRUARY 9, 2023

The following blog is an introduction to Big Data and will help you to understand its importance, types, characteristics and benefits in today’s world. Key takeaways Big Data helps collect and analyse large data sets from multiple sources like social media, weblogs, etc. Accordingly, Big Data tools like Hadoop, Apache, Spark, etc.,

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

SEPTEMBER 24, 2024

Summary: This blog explores Uber’s innovative use of Data Analytics to improve supply efficiency and service quality. Hadoop Ecosystem As one of the largest Hadoop installations globally, Uber uses this open-source framework for storing and processing vast amounts of data efficiently.

Analytics 52

Analytics Analytics Machine Learning Machine Learning 52

Alation

FEBRUARY 12, 2020

At the time LinkedIn embarked on its data catalog journey, it had 50 thousand datasets, 15 petabytes of storage (across Teradata, Hadoop, and other data sources), 14 thousand comments, and 35 million job executions. Subscribe to Alation's Blog. Download White Paper. Get the latest data cataloging news and trends in your inbox.

Machine Learning 52

Machine Learning Machine Learning Analytics Analytics 52

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. In his role Igor is working with strategic partners helping them build complex, AWS-optimized architectures. Babu Srinivasan is a Senior Partner Solutions Architect at MongoDB.

Clustering 120

Clustering AWS Database ML 120

DagsHub

DECEMBER 11, 2023

To help data practitioners, this blog will cover eight of the top data versioning tools in the market. Best data version control tools for 2024 Now that you have a clear understanding of the expectations of the blog, let’s explore each one of them, starting with DagsHub. Why do we need to version our data?

Machine Learning 98

Machine Learning Machine Learning Data Lakes Database 98