CTOvision

JULY 9, 2014

Since the birth of Hadoop in 2005-06, the way we think about storing and processing information has evolved considerably. In the text below, I examine an on-premise Hadoop ecosystem as a general purpose Big Data solution in relation to alternative commercial purpose-built storage technologies (-e.g. By Jeremy Glesner.

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Big Data Data CTO Fractional CTO 114

Newgen Software

FEBRUARY 6, 2024

Organizations need the ability to go beyond improvement to “Improvization”. These topologies abstract technology platforms such as Hadoop-MapReduce, Hadoop-Hive, Hadoop-Spark, Tachyon, Storm, Kafka, InMemory DBs, etc. Innovation driven growth and customer experience are key imperatives of organizations.

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Analytics Analysis Organization System 52

CTOvision

JUNE 3, 2014

In the early days of production systems built around Apache Hadoop, security was only possible by limiting access to your cluster. Cloudera Strengthens Hadoop Security with Acquisition of Gazzang. Cloudera plans to focus the efforts of the Gazzang team on additional security challenges in Hadoop. From: [link]. Jun/03/2014.

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Big Data Open Source Weak Development Team Compliance 108

CTOvision

OCTOBER 9, 2013

The best place to do that is Hadoop World. Once again Hadoop World is being held in conjunction with Strata. Also, a quick reminder: at the end of the day Thursday 10 October we will be closing our contest for a free Two-Day pass to Strata/Hadoop World. More details have been announced on the sessions at Hadoop World/Strata.

Big Data 73

Big Data Strategy Data Open Source 73

Agile Engine

FEBRUARY 20, 2019

Data certainly was all over the place in 2018 so let’s see how the market has changed and what to expect in 2019 and beyond. Hadoop in the Cloud. An increasing number of the modern-day adopters of Big Data show little interest in developing and provisioning on-premise Hadoop or Spark infrastructures. Microsoft Azure.

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Big Data Google Cloud Data Azure 71

CTOvision

JANUARY 6, 2017

Strata + Hadoop World 2017 (happening March 13–16 in San Jose) has its strongest program ever. Sessions on essential topics like Data Science & Advanced Analytics, Enterprise Adoption, Real-time Applications, Spark (& Beyond), and Stream Processing & Analytics—nearly 180 sessions to choose from. Bob Gourley.

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Case Study Analytics Study Programming 61

CTOvision

JUNE 9, 2015

gives Hadoop administrators guided configurations to make installation and configuration of HDFS, YARN, Hive and HBase more predictable. Beyond POC: Processing Metrics, Logs and Traces. The Hortonworks Data Platform v2.3 Find more information here. Related articles. at Scale (sematext.com).

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Data Metrics Policies Government 110

CTOvision

FEBRUARY 17, 2015

February 17, 2015 , STRATA + HADOOP WORLD 2015, SAN JOSE, Calif. We’ve developed a cloud-based big data analytics platform, analyzing billions of stock market transactions everyday using Hadoop, Pentaho and Amazon Redshift,” said Michael Weiss, Senior Developer, NASDAQ.

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Big Data Analytics AWS Data 109

CTOvision

OCTOBER 2, 2013

By Bob Gourley Strata and Hadoop World is coming! To receive your discount register at: Hadoop World and enter the code: CTOVIZ. Kudos from Previous Strata + Hadoop World Attendees. “In Bed Bath and Beyond. It will be held 28-30 Oct in NYC. Strata attendees are from organizations such as: Accenture. Adobe Systems.

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Big Data CTO Coach Conference Media 73

Erik Bernhardsson

OCTOBER 27, 2015

It’s easy to fall down into a rabbit hole and become extremely good at say deep learning (or anything), but at a company that means you’re just some expert that will have a hard time getting impact beyond your field. Have you been to a Hadoop conference? There is a lot of those problems in the industry for sure.

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Data Big Data Machine Learning Artificial Inteligence 100

Erik Bernhardsson

OCTOBER 27, 2015

It’s easy to fall down into a rabbit hole and become extremely good at say deep learning (or anything), but at a company that means you’re just some expert that will have a hard time getting impact beyond your field. Have you been to a Hadoop conference? There is a lot of those problems in the industry for sure.

Data 100

Data Big Data Machine Learning Artificial Inteligence 100

Cloudera

MARCH 9, 2021

Atlas provides a basic set of pre-defined type definitions (called typedefs ) for various Hadoop and non-Hadoop metadata to cover all the needs of CDP. SDX: governance beyond CDP. The post Data governance beyond SDX: Adding third party assets to Apache Atlas appeared first on Cloudera Blog.

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Government Data Applications Storage 93

Battery Ventures

SEPTEMBER 17, 2018

Hortonworks, for instance, went public in 2014 and initially struggled before finding its footing; it has since adjusted its business model to sell more feature-rich products beyond its support offering. 6 technology Hadoop, IPO’ed last year; and Github, which sells a hosted enterprise version of No. billion in June.

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Open Source Marketing Software Enterprise 85

O'Reilly Media - Ideas

JANUARY 2, 2019

Apache Hadoop, Spark, and Big Data Foundations , January 15. Hands-On Introduction to Apache Hadoop and Spark Programming , January 23-24. Managing Enterprise Data Strategies with Hadoop, Spark, and Kafka , February 13. Apache Hadoop, Spark and Big Data Foundations , February 21. Scala: Beyond the Basics , February 7-8.

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Course Artificial Inteligence Training Blockchain 57

CTOvision

JANUARY 23, 2015

Look beyond the IoT buzz. Being data driven starts by connecting to all relevant enterprise and application data and content sources, including RDBMS, NoSQL, Hadoop, social media, and ultimately machine data. Big Data CTO Cyber Security Actuate Corporation Apache Hadoop Chief Digital Officer Machine learning'

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IoT Big Data Machine Learning Artificial Inteligence 125

Cloudera

SEPTEMBER 24, 2021

At the same time, centralised big data functions increasingly invested in Hadoop based architectures, in part to move away from proprietary and expensive software, but also in part to engage with what was emerging as a horizontal industry standard technology.

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Analytics Network Innovation IoT 90

O'Reilly Media - Ideas

FEBRUARY 4, 2019

For example, the chart below lists popular (batch and streaming) data processing tools used by respondents based in Europe: Many of the systems listed in the previous chart—Apache Spark, Kafka, Hadoop, etc.,—have have been in use at enterprises across the globe for several years. As noted above, ML and AI involves more than model building.

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Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

Dion Hinchcliffe's Web 2.0 Blog

SEPTEMBER 18, 2009

Going beyond the hype: Identifying Enterprise 2.0 Going beyond the hype: Identifying Enterprise 2.0 Q&A: Visa dips a toe into the Hadoop pool | The Open Road - CNET News. RT @mjasay VISA's Hadoop adoption suggests enterprise use ready to boil over: [link] < My enterprise take: [link] [from [link].

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Software Review Enterprise Social Architecture 71

O'Reilly Media - Ideas

SEPTEMBER 19, 2023

” Consider the structural evolutions of that theme: Stage 1: Hadoop and Big Data By 2008, many companies found themselves at the intersection of “a steep increase in online activity” and “a sharp decline in costs for storage and computing.” And Hadoop rolled in. Goodbye, Hadoop. And it was good.

Data 106

Data Artificial Inteligence Machine Learning Hardware 106

O'Reilly Media - Data

APRIL 3, 2018

Notable attendees included DJ Patil , who served as the chief data scientist of the United States from 2015-2017, Doug Cutting, co-creator of Hadoop and advocate for open source, as well as representation from the National Science Foundation-funded Regional Big Data Innovation Hubs and Spokes program.

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Artificial Inteligence Data Technical Review Artificial Intelligence 117

Kentik

JULY 18, 2016

Seeing Beneath the Surface with Post-Hadoop Big Data. At Kentik, we believe deeply in the power of post-Hadoop Big Data to address those limitations, making rich data readily accessible not only to engineering and operations, but also to wider areas of the organization. Irwin needed to run some electrical cables under his yard.

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Big Data Network Analytics Data 40

O'Reilly Media - Ideas

APRIL 3, 2019

Spotlight on Innovation: A Trader’s Journey to Python and Beyond, with David Bednarczyk , May 8. Apache Hadoop, Spark, and Big Data Foundations , April 22. Hands-On Introduction to Apache Hadoop and Spark Programming , May 1-2. Managing Stress and Building Resiliency , May 2. Having Difficult Conversations , May 6.

Course 47

Course Artificial Inteligence Training Google Cloud 47

O'Reilly Media - Ideas

SEPTEMBER 15, 2021

A platform, clearly, but a platform for building data pipelines that’s qualitatively different from a platform like Ray, Spark, or Hadoop. In 2021, Hadoop often seems like legacy software, but 15% of the respondents were working on the Hadoop platform, with an average salary of $166,000. What about Kafka?

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Survey Data Technical Review Training 145

Instaclustr

AUGUST 30, 2023

Think Slonik, the PostgreSQL elephant, the MySQL dolphin, Hadoop, the yellow elephant, the MariaDB seal. The potential implementation of SQLite reflects our goal to provide an open source database alternative to MongoDB and enable more database backend support beyond PostgreSQL. Why the name “Ferret”? CockroachDB!

Open Source 36

Open Source Technical Review Scalability Software Review 36

d2iq

FEBRUARY 19, 2021

The open-source data era kicked off with Hadoop and MapReduce in the early noughties, soon followed by Kafka and Spark. The ML ecosystem grew independently of the cloud-native stack, so some of it depends on Jupyter notebooks and virtual environments, other bits run on Hadoop, YARN, or Mesos.

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Artificial Inteligence Machine Learning Technical Review Software Review 103

O'Reilly Media - Ideas

JUNE 4, 2019

Scalable Data Science with Apache Hadoop and Spark , July 16. Beyond Python Scripts: Logging, Modules, and Dependency Management , July 30. Beyond Python Scripts: Exceptions, Error Handling and Command-Line Interfaces , July 31. Docker: Beyond the Basics (CI & CD) , August 7-8. Time Series Forecasting , July 15.

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Course Training Artificial Inteligence Software Review 64

CTOvision

DECEMBER 30, 2015

Breakthrough methodologies and new scalable data approaches based around Hadoop hold great promise to helping us make sense over increasingly large data sets. In 2016 expect every enterprise will have at least a proof of concept based on the Apache Hadoop framework with most moving towards production environments.

Technical Review 62

Technical Review Trends Report Enterprise 62

Cloudera

SEPTEMBER 9, 2020

For this reason it is beyond the scope of this blog post. jar' | sort | tr 'n' ':' | head -c -1) export myJVMOptions="-DmaxConnectionsPerHost=10000 -DmaxConnections=10000 -Djava.io.tmpdir=/tmp/dir/ " export myResourcesDir=" <RESOURCE_DIR> " export HADOOP_CONF_DIR="/etc/hadoop/conf" spark-submit. master yarn.

Data 81

Data How To AWS Resources 81

O'Reilly Media - Ideas

JUNE 5, 2019

Scalable Data Science with Apache Hadoop and Spark , July 16. Beyond Python Scripts: Logging, Modules, and Dependency Management , July 30. Beyond Python Scripts: Exceptions, Error Handling and Command-Line Interfaces , July 31. Docker: Beyond the Basics (CI & CD) , August 7-8. Time Series Forecasting , July 15.

Course 49

Course Training Artificial Inteligence Software Review 49

Kentik

AUGUST 22, 2016

To deal with that challenge, music service providers are going beyond using public cloud hosting for their files. From CDs to CDNs. The most vulnerable part of the above scenario is the Internet connectivity. How can you optimize the cost-performance of that traffic flow?

Network 40

Network Technical Review Big Data Internet 40

Altexsoft

JULY 18, 2023

Datasets: RDDs can contain any type of data and can be created from data stored in local filesystems, HDFS (Hadoop Distributed File System), databases, or data generated through transformations on existing RDDs. This impressive statistic comes from a 2014 benchmark test where Spark significantly improved performance over Hadoop MapReduce.

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Weak Development Team Big Data Data Machine Learning 52

O'Reilly Media - Ideas

MARCH 7, 2019

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers). It goes beyond jargon.

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System Off-The-Shelf Machine Learning Artificial Inteligence 93

CodeSignal

DECEMBER 23, 2019

Location Keywords on skills (Javascript, CSS, Hadoop, AWS, etc…). If you don’t have a big brand like Google or are not willing to throw six figures in sign-on bonus, think more creatively about how you want to stand out in this sourcing war for technical recruiting — think beyond keywords and pedigree.

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Recruiting Software Engineering AWS Budget 10

Dion Hinchcliffe's Web 2.0 Blog

MAY 29, 2012

I’ve omitted obvious items like BYOD and Big Data platforms like Hadoop, since virtually all organizations have these on their lists already. UC is also incorporating social media and otherwise moving beyond the telephony and IM space to become much more strategic. Digital business leadership and transformation.

Enterprise 69

Enterprise Strategy Unified Communications Mobile 69

The Accidental Successful CIO

OCTOBER 28, 2015

Hadoop is an open source database for dealing with big data that CIOs are getting excited over. What Can You Use Hadoop To Do? Well, in this case Hadoop is probably something that you should at least be taking a closer look at. Well, in this case Hadoop is probably something that you should at least be taking a closer look at.

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Big Data Open Source Data Enterprise 74

Linux Academy

AUGUST 29, 2019

Beyond the language, you’ll learn how to leverage Go’s robust standard library, third-party packages, and cover how to handle some of the most common tasks when writing tools/scripts. System Tooling with Go. This course is designed to teach you enough Go to be able to write your own tools. AWS Essentials.

Linux 18

Linux Course AWS Google Cloud 18

O'Reilly Media - Ideas

MARCH 6, 2019

Spotlight on Learning from Failure: Assessing Talent Beyond Technical Skills with Tony Tjan , March 26. Managing Enterprise Data Strategies with Hadoop, Spark, and Kafka , April 15. Beyond Python Scripts: Logging, Modules, and Dependency Management , April 25. Docker: Beyond the Basics (CI & CD) , April 4-5.

Course 10

Course Artificial Inteligence Training Microservices 10