Cloudera

JANUARY 12, 2018

I mentioned in an earlier blog titled, “Staffing your big data team, ” that data engineers are critical to a successful data journey. That said, most companies that are early in their journey lack a dedicated engineering group. Image 1: Data Engineering Skillsets.

Data Engineering 55

Data Engineering Big Data Engineering Data 55

TechCrunch

AUGUST 4, 2022

Most BI tools are thin applications with no data engine of their own, and only as fast as the database they sit atop. Rill, on the other hand, is a thick application that comes with its own embedded in-memory OLAP engine ( DuckDB in Rill Developer, and Apache Druid in Rill Cloud). Image Credits: Rill.

Open Source 246

Open Source Metrics Business Intelligence Enterprise 246

Cloudera

MARCH 6, 2024

This year, members of the Cloudera team will be hosting speaking sessions during the event where we’ll be sharing insights around generative AI and the tools needed to leverage emerging technologies at enterprise scale. The post A Look Ahead at the Gartner Data & Analytics Summit appeared first on Cloudera Blog.

Analytics 108

Analytics Artificial Inteligence Data Generative AI 108

Cloudera

JUNE 2, 2021

To keep up, data pipelines are being vigorously reshaped with modern tools and techniques. At Cloudera, we recently introduced several cutting-edge innovations in our Cloudera Data Engineering experience (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to serve the growing demands.

Data 91

Data Data Engineering Machine Learning Artificial Inteligence 91

Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. From its origins in the 1950’s to today, the age of big data. Sean ascertains that larger data sets and increased access to compute power is propelling the adoption of machine learning. This blog has everything!

Artificial Inteligence 46

Artificial Inteligence Machine Learning Big Data IoT 46

DevOps.com

MARCH 19, 2021

Core DataOps concepts are making their way into data engineering teams and, from there, into the broader enterprise. Data engineers are retooling how they create data products, and much of this work revolves around creating data pipelines.

Open Source 126

Open Source Data Engineering Engineering Enterprise 126

CIO

FEBRUARY 14, 2023

However, a data execution strategy has to evolve for real-time AI to scale with speed. Learn more about moving to cloud-native applications and data with Kubernetes in this blog post.) An enterprise data ecosystem architected to optimize data flowing in both directions.

Artificial Inteligence 291

Artificial Inteligence Strategy Data Machine Learning 291

Cloudera

FEBRUARY 16, 2021

In the previous blog post , we looked at some of the application development concepts for the Cloudera Operational Database (COD). In this blog post, we’ll see how you can use other CDP services with COD. Integrated across the Enterprise Data Lifecycle . Cloudera Data Warehouse to perform ETL operations.

Machine Learning 85

Machine Learning Artificial Inteligence Policies Data Engineering 85

Cloudera

OCTOBER 13, 2020

On September 24, 2019, Cloudera launched CDP Public Cloud (CDP-PC) as the first step in delivering the industry’s first Enterprise Data Cloud. CDP Machine Learning: a kubernetes-based service that allows data scientists to deploy collaborative workspaces with secure, self-service access to enterprise data.

Cloud 95

Cloud Machine Learning Artificial Inteligence Azure 95

Cloudera

NOVEMBER 19, 2021

We recognise that experimentation is an important component of any enterprise machine learning practice. As we explain in our eBook , COPML is a comprehensive approach to ML model development and operation that takes a structured approach to the “ML wrangling” problems many enterprises face.

Machine Learning 123

Machine Learning Artificial Inteligence eBook Sustainability 123

Cloudera

DECEMBER 17, 2020

When it comes to machine learning (ML) in the enterprise, there are many misconceptions about what it actually takes to effectively employ machine learning models and scale AI use cases. When many businesses start their journey into ML and AI, it’s common to place a lot of energy and focus on the coding and data science algorithms themselves.

Machine Learning 80

Machine Learning Artificial Inteligence Data Engineering Engineering 80

Altexsoft

FEBRUARY 11, 2023

If you are not familiar with the above-mentioned concepts, we suggest you to follow the links above to learn more about each of them in our blog posts. Bad data management be like, Source: Makeameme Data architects are sometimes confused with other roles inside the data science team. Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines.

Machine Learning 98

Machine Learning Artificial Inteligence Data Data Engineering 98

Kentik

MAY 2, 2016

In part 1 of this series we introduced Kentik Data Engine™, the backend to Kentik Detect™, which is a large-scale distributed datastore that is optimized for querying IP flow records (NetFlow v5/9, sFlow, IPFIX) and related network data (GeoIP, BGP, SNMP). Time: 0.458s. Time: 1.293s.

Data Engineering 40

Data Engineering Engineering .Net Data 40

Cloudera

FEBRUARY 1, 2024

The other half of the equation requires your team’s emphasis to shift to sustained excellence in managing and optimizing your data ecosystem — better known as Day 2 operations. In this blog, we’ll cover the highlights of our recently published Day 2 Operations Guide and why it matters to enterprises.

Backup 84

Backup Cloud Architecture Resources 84

DevOps.com

APRIL 28, 2021

While there is no precedent for COVID-19’s impact on the economy, what is clear is that the enterprise is clamoring for more analytics than ever. Data engineering is […]. The post How to Modernize Data Integration appeared first on DevOps.com.

Data 102

Data How To Data Engineering Analytics 102

d2iq

JANUARY 18, 2022

D2iQ is an AWS Containers Competency Partner , and D2iQ Kaptain is an enterprise Kubeflow product that enables organizations to develop and deploy machine learning workloads at scale. Read the blog to learn more about D2iQ Kaptain on Amazon Web Services (AWS). Complexity: There are lots of cloud-native and AI/ML tools on the market.

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Artificial Inteligence Machine Learning AWS Weak Development Team 72

Cloudera

MAY 13, 2021

We offer many of the popular open source engines used today, and that’s because we know the specific demands of your particular use case will always dictate which engine is the most optimal. And as your needs change, you need the flexibility to change engines. Consideration #4: Enterprise adoption.

Engineering 102

Engineering Comparison Open Source Scalability 102

Cloudera

AUGUST 3, 2022

This applies to both Hive tables and views, allowing Spark based data engineering to benefit from the same FGAC policies that SQL and BI analysts get from Impala. In a follow-up blog, we will provide more detail and discuss the enhancements we have planned for the next release with CDP 7.1.8, so stay tuned! so stay tuned! .

Policies 88

Policies Machine Learning Artificial Inteligence Data Engineering 88

Mobilunity

MAY 8, 2023

An Enterprise Data Lake is a large, centralized repository that stores structured and unstructured data at scale. It is designed to store vast amounts of data from a variety of sources. Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise.

Engineering 52

Engineering Data Storage AWS 52

Cloudera

MAY 17, 2021

CDP (Cloudera Data Platform) Private Cloud 1.2 release blog ). In this blog, we’ll cover the complete range of new capabilities and updates for CDP Private Cloud as a whole (the platform) as well as for both the CDW (Cloudera Data Warehouse) and CML (Cloudera Machine Learning) services. Platform – In-place Updates.

Cloud 89

Cloud Machine Learning Artificial Inteligence Storage 89

Cloudera

SEPTEMBER 29, 2020

Performance is one of the key, if not the most important deciding criterion, in choosing a Cloud Data Warehouse service. In today’s fast changing world, enterprises have to make data driven decisions quickly and for that they rely heavily on their data warehouse service. .

Azure 118

Azure Data Comparison Virtualization 118

Cloudera

JULY 27, 2021

While billing used to be one of two critical things for any successful telco (the other being the network), today’s digital service providers prioritise channels, ecosystems, payments and cloud service architectures in enterprise architecture. When it comes to Data and AI, the industry is increasingly committed to a hybrid cloud approach.

Telecommunications 61

Telecommunications Data Architecture Big Data 61

Cloudera

OCTOBER 4, 2023

Key features of Cloudera Data Warehouse include: Powerful Apache Impala query engine capable of handling massive scale data sets and complex, long running enterprise data warehouse (EDW) queries, to support traditional dashboards and reports, augmented by real-time data. appeared first on Cloudera Blog.

Analytics 88

Analytics Machine Learning Artificial Inteligence Telecommunications 88

TIBCO - Connected Intelligence

JANUARY 11, 2021

This blog identifies five typical enemies on your path to MDM success and provides ways to make your position unassailable and their defeat inevitable. Enterprise-scale MDM adoption is a multi-year journey, not a one time event. Over time you can expand your MDM use to more domains and eventually reach enterprise scale.

Technical Advisors 54

Technical Advisors Data Data Engineering Compliance 54

Cloudera

JANUARY 20, 2021

The missing chapter is not about point solutions or the maturity journey of use cases, the missing chapter is about the data, it’s always been about the data, and most importantly the journey data weaves from edge to artificial intelligence insight. . Fig 1: The Enterprise Data Lifecycle.

Data 108

Data Artificial Inteligence Analytics Machine Learning 108

Cloudera

JANUARY 6, 2021

Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle. Introduction.

Machine Learning 133

Machine Learning Artificial Inteligence Data Applications 133

Cloudera

JANUARY 27, 2021

CDP Public Cloud consists of a set of best-of-breed analytic services covering streaming, data engineering, data warehouse, operational database, and machine learning, all secured and governed by Cloudera SDX. The post Cloudera Completes SOC 2 Type II Certification for CDP Public Cloud appeared first on Cloudera Blog.

Cloud 103

Cloud Disaster Recovery Software Review Technical Review 103

Cloudera

SEPTEMBER 23, 2021

” This is all about IT systems inside enterprises, which is where the data rubber meets the digital road. How to Manage Fast Data. Streaming data from edge devices enables real-time insight and autonomous decision-making, which can revolutionize industries.

Data 84

Data Sport Report Sustainability 84

Cloudera

MAY 10, 2021

The introduction of CDP Public Cloud has dramatically reduced the time in which you can be up and running with Cloudera’s latest technologies, be it with containerised Data Warehouse , Machine Learning , Operational Database or Data Engineering experiences or the multi-purpose VM-based Data Hub style of deployment.

Cloud 105

Cloud Machine Learning Artificial Inteligence Software Review 105

Cloudera

FEBRUARY 25, 2021

Today’s enterprise data science teams have one of the most challenging, yet most important roles to play in your business’s ML strategy. However, only 4% of enterprise executives today report seeing success from their ML investment. Building The Future Of Enterprise ML Today.

Machine Learning 82

Machine Learning Artificial Inteligence Telecommunications Enterprise 82

Datavail

JUNE 20, 2023

Percona Live 2023 was an exciting open-source database event that brought together industry experts, database administrators, data engineers, and IT leadership. 93% of large enterprises use database monitoring and management solutions. 32% of large enterprise database deployments use Database-as-a-Service offerings.

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Open Source Database Administration Survey AWS 52

Xebia

MARCH 10, 2021

In essence, this means the organisation wants to make better business decisions based on insights provided by data [4]. Data itself is not able to advise a business for better decision-making. Therefore these organisations introduce a new capability: Data & Analytics. The details will be discussed later.

DevOps 130

DevOps Data Analytics Policies 130

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. The post The Future of the Data Lakehouse – Open appeared first on Cloudera Blog.

Data 92

Data Analytics Open Source Architecture 92

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Private clouds are not simply existing data centers running virtualized, legacy workloads. They require highly modernized digital application and service environments running on true cloud platforms like Hitachi Enterprise Cloud. We are all thrilled to welcome them to our own team of talented professionals.

Cloud 78

Cloud Google Cloud Azure AWS 78

Cloudera

SEPTEMBER 10, 2021

Now, the agency is turning a corner on putting its mass quantities of data to work, collaborating with enterprise data engineers in industry to utilize those data troves to better protect taxpayers. Pairing High-Tech Keys to Unlock the Power of Data.

Artificial Inteligence 68

Artificial Inteligence Machine Learning Artificial Intelligence Engineering 68