並び順

ブックマーク数

期間指定

  • から
  • まで

1 - 19 件 / 19件

新着順 人気順

"Big Data"の検索結果1 - 19 件 / 19件

タグ検索の該当結果が少ないため、タイトル検索結果を表示しています。

"Big Data"に関するエントリは19件あります。 databasedatatechfeed などが関連タグです。 人気エントリには 『オメガキーボード説明資料 - ΩMEGA BIG DATA & AI ユーザーが喜ぶアドテクノロジー』などがあります。
  • オメガキーボード説明資料 - ΩMEGA BIG DATA & AI ユーザーが喜ぶアドテクノロジー

    • Big Data is Dead

      For more than a decade now, the fact that people have a hard time gaining actionable insights from their data has been blamed on its size. “Your data is too big for your puny systems,” was the diagnosis, and the cure was to buy some new fancy technology that can handle massive scale. Of course, after the Big Data task force purchased all new tooling and migrated from Legacy systems, people found t

        Big Data is Dead
      • DataScienceCentral.com - Big Data News and Analysis

        DSC Weekly 7 May 2024 Scott Thompson | May 7, 2024 at 1:34 pm Announcements Top Stories In-Depth... Ten reasons organizations pay more in data integration tax every year Alan Morrison | May 7, 2024 at 1:03 pm Photo by Ernesto Andrade on Flickr Gartner’s April 2024 IT forecast estimated 8 percent growth from 2023 to 2024, fore... What Is generative AI audio? Everything you need to know Erika Balla

          DataScienceCentral.com - Big Data News and Analysis
        • Trino | Distributed SQL query engine for big data

          Trino, a query engine that runs at ludicrous speed Fast distributed SQL query engine for big data analytics that helps you explore your data universe. Download Trino Join the community

            Trino | Distributed SQL query engine for big data
          • 非エンジニアのProduct Managerが社内のBig Dataを広告運用業務に生かしてみた

            この記事は GMOアドマーケティング Advent Calendar 2021 19日目の記事です。 はじめに こんにちは、GMOアドマーケティングのM.H(@masaseat)です。 自分はGMOアドマーケティングでアドネットワーク「AkaNe」とDSP「ReeMo」のProduct Managerを担当しています。 業務において広告配信結果の分析や、売上や性能のボトルネックをGoogleのデータウェアハウス「Google BigQuery」を用いて分析することが多いのですが、今回はその解析結果をプロダクトマネジメント業務や、広告運用メンバーの業務改善に活かしてみた方法をご紹介します。 分析環境について GMOアドマーケティングでは、広告配信結果のほぼ全てのログがGoogleのデータウェアハウス「Google BigQuery」に収納されています。 GMOアドマーケティングではエンジニア

              非エンジニアのProduct Managerが社内のBig Dataを広告運用業務に生かしてみた
            • OpenIO | High Performance Object Storage for Big Data and AI

              The Best Object Storage Offer on the Market OpenIO has joined OVHcloud, the leading European alternative cloud provider Learn more Object Storage on-prem, cloud-hosted, or at the edgeOpenIO is a software-defined open source object storage solution ideal for Big Data, HPC and AI. With its distributed grid architecture and unique self-learning ConsciousGrid™ technology, OpenIO scales easily without

                OpenIO | High Performance Object Storage for Big Data and AI
              • GitHub - scratchdata/scratchdata: Scratch is a swiss army knife for big data.

                You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert

                  GitHub - scratchdata/scratchdata: Scratch is a swiss army knife for big data.
                • Upgrade your resume with the AWS Certified Big Data — Specialty Certification | Amazon Web Services

                  AWS Big Data Blog Upgrade your resume with the AWS Certified Big Data — Specialty Certification While most cloud computing professionals are aware of the Foundational, Associate, and Professional AWS Certifications, it’s worth mentioning that AWS also offers specialty certifications. Anyone pursuing a career that includes data analysis, data lakes, and data warehouse solutions is a solid candidate

                    Upgrade your resume with the AWS Certified Big Data — Specialty Certification | Amazon Web Services
                  • Beyond Pandas: Spark, Dask, Vaex and other big data technologies battling head to head

                    WhyWhen confronting a new data science problem, one of the first questions to ask is which technology to use. There is hype; there are standard tools; there are bleeding-edge technologies, entire platforms and off-the-shelf solutions. Over the last few years, I’ve been building proof of concepts and solutions with any technology I could get my hands on. If there is a new platform, I register for t

                      Beyond Pandas: Spark, Dask, Vaex and other big data technologies battling head to head
                    • Andrew Ng: Farewell, Big Data

                      Andrew Ng has serious street cred in artificial intelligence. He pioneered the use of graphics processing units (GPUs) to train deep learning models in the late 2000s with his students at Stanford University, cofounded Google Brain in 2011, and then served for three years as chief scientist for Baidu, where he helped build the Chinese tech giant’s AI group. So when he says he has identified the ne

                        Andrew Ng: Farewell, Big Data
                      • Big Data: Google Replaces YARN with Kubernetes to Schedule Apache Spark

                        Will real-time data processing replace batch processing? At Confluent's user conference, Kafka co-creator Jay Kreps argued that stream processing would eventually supplant traditional methods of batch processing altogether.

                          Big Data: Google Replaces YARN with Kubernetes to Schedule Apache Spark
                        • How Amazon is solving big-data challenges with data lakes

                          How Amazon is solving big-data challenges with data lakesJanuary 20, 2020 • 2157 words Back when Jeff Bezos filled orders in his garage and drove packages to the post office himself, crunching the numbers on costs, tracking inventory, and forecasting future demand was relatively simple. Fast-forward 25 years, Amazon's retail business has more than 175 fulfillment centers (FC) worldwide with over 2

                            How Amazon is solving big-data challenges with data lakes
                          • What is the value of Big Data in consumer trends? - Best Proven Info

                            A new comprehensive solution will allow companies to learn about consumer habits, and thus be able to predict trends. Collecting consumption data has made it easier for companies to predict trends and consumption habits. With the Internet, consumers spend much more time comparing prices, something that was not so easy before, and it is an efficient way to discover discounts or promotions. When sea

                              What is the value of Big Data in consumer trends? - Best Proven Info
                            • GitHub - trinodb/trino: Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

                              You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert

                                GitHub - trinodb/trino: Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
                              • Open sourcing Querybook, Pinterest’s collaborative big data hub

                                An efficient big data solution for an increasingly remote-working world. Charlie Gu | Tech Lead, Analytics Platform, Lena Ryoo | Software Engineer, Analytics Platform, and Justin Mejorada-Pier | Engineering Manager, Analytics Platform With more than 300 billion Pins, Pinterest is powering an ever-growing and unique dataset that maps interests, ideas, and intent. As a data-driven company, Pinterest

                                  Open sourcing Querybook, Pinterest’s collaborative big data hub
                                • Visualizing big data with AWS AppSync, Amazon Athena, and AWS Amplify | Amazon Web Services

                                  Front-End Web & Mobile Visualizing big data with AWS AppSync, Amazon Athena, and AWS Amplify This article was written by Brice Pelle, Principal Technical Account Manager, AWS Organizations use big data and analytics to extract actionable information from untapped datasets. It can be difficult for you to build an application with access to this trove of data. You want to build great applications qu

                                    Visualizing big data with AWS AppSync, Amazon Athena, and AWS Amplify | Amazon Web Services
                                  • Big Data file formats

                                    Apache Spark supports many different data formats, such as the ubiquitous CSV format and the friendly web format JSON. Common formats used mainly for big data analysis are Apache Parquet and Apache Avro. In this post, we will look at the properties of these 4 formats — CSV, JSON, Parquet, and Avro using Apache Spark. CSV CSV files (comma-separated values) are usually used to exchange tabular data

                                      Big Data file formats
                                    • Apache Arrow and Java: Lightning Speed Big Data Transfer

                                      How to Use Multiple GitHub Accounts Git is a popular tool for version control in software development. It is not uncommon to use multiple Git accounts. Correctly configuring and switching Git accounts is challenging. In this article, we show what Git provides for account configuration, its limitations, and the solution to switch accounts automatically based on a project parent directory location.

                                        Apache Arrow and Java: Lightning Speed Big Data Transfer
                                      • Announcing Amazon EMR Serverless (Preview): Run big data applications without managing servers | Amazon Web Services

                                        AWS Big Data Blog Announcing Amazon EMR Serverless (Preview): Run big data applications without managing servers Today we’re happy to announce Amazon EMR Serverless, a new option in Amazon EMR that makes it easy and cost-effective for data engineers and analysts to run petabyte-scale data analytics in the cloud. With EMR Serverless, you can run applications built using open-source frameworks such

                                          Announcing Amazon EMR Serverless (Preview): Run big data applications without managing servers | Amazon Web Services
                                        1

                                        新着記事