ProjectPro

APRIL 8, 2015

The open source framework hadoop is somewhat immature and big data analytics companies are now eyeing on Hadoop vendors- a growing community that delivers robust capabilities, tools and innovations for improvised commercial hadoop big data solutions. billion by 2020. billion by 2020.

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

Data Engineering Podcast

FEBRUARY 26, 2023

TimeXtender takes a holistic approach to data integration that focuses on agility rather than fragmentation. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. We do this for one simple reason: because time matters.

Building 147

Building Machine Learning Metadata Data Integration 147

Data Engineering Podcast

MARCH 5, 2023

TimeXtender takes a holistic approach to data integration that focuses on agility rather than fragmentation. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. We do this for one simple reason: because time matters.

Building 147

Building Database Design Machine Learning Metadata 147

databricks

MAY 16, 2023

The Databricks Lakehouse Platform provides a unified set of tools for building, deploying, sharing, and maintaining enterprise-grade data solutions at scale. Databricks integrates.

Data Solutions 121

Data Solutions Data Building 121

Team Data Science

MAY 20, 2020

To answer the question at the beginning: No, I wouldn't go for a big data solution. Because that doesn't make sense. If you're worried about the money, I would start on a cloud platform. I would start with AWS and see how that works. Because normally the tools are very scalable.

Big Data 130

Big Data Building AWS Kafka 130

Data Engineering Podcast

MARCH 18, 2023

TimeXtender takes a holistic approach to data integration that focuses on agility rather than fragmentation. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. We do this for one simple reason: because time matters.

Data Security 130

Data Security Machine Learning Data Science Metadata 130

Data Engineering Podcast

MARCH 25, 2023

TimeXtender takes a holistic approach to data integration that focuses on agility rather than fragmentation. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. We do this for one simple reason: because time matters.

MySQL 130

MySQL Python Architecture Machine Learning 130

Data Engineering Podcast

FEBRUARY 19, 2023

TimeXtender takes a holistic approach to data integration that focuses on agility rather than fragmentation. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs.

IT 147

IT Data Lake Metadata Data Warehouse 147

The Modern Data Company

FEBRUARY 3, 2023

Companies need consistent, high-quality data and a straightforward way to measure CLV. In the past, organizations have struggled to implement CLV as a practical, value-generating metric, but a new data solution could help.

Retail 97

Retail Manufacturing High Quality Data Data Architecture 97

The Modern Data Company

FEBRUARY 3, 2023

Companies need consistent, high-quality data and a straightforward way to measure CLV. In the past, organizations have struggled to implement CLV as a practical, value-generating metric, but a new data solution could help.

Manufacturing 98

Manufacturing High Quality Data Data Architecture Architecture 98

Cloudera

APRIL 19, 2022

Despite a sophisticated level of awareness about big data in Australia, there remains a lack of strong leadership and buy-in from teams across the board: according to our research, only 12% of Australian IT decision makers said that their organisation interacts with all stages of the data lifecycle process. .

Big Data 98

Big Data Government Data Accessible 98

Cloudera

JANUARY 18, 2022

Each year, the Cloudera Data Impact Awards recognize organizations that have accomplished amazing things with innovative data solutions. . With a solution based on Cloudera Data Science Workbench (CDSW), the bank implemented a more streamlined loan approval process that reduced processing time from a week to just hours.

Banking 101

Banking Recruitment Data Lake Data 101

Cloudera

JULY 29, 2022

Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). However, not all these organizations will be successful in using data to drive business value and increase profits. Is yours among the organizations hoping to cash in big with a big data solution?

Data Architecture 94

Data Architecture Architecture Unstructured Data Government 94

Snowflake

FEBRUARY 5, 2024

Leading financial institutions will rely on strong data foundations that share, secure and govern data throughout the entire business ecosystem as they build gen AI solutions. They’ll prioritize data solutions that work across clouds.

Unstructured Data 106

Unstructured Data Banking Government Media 106

Cloudera

SEPTEMBER 18, 2024

This dual value proposition makes InDaiX an essential platform for driving innovation and operational efficiency in the data and AI markets.

Datasets 91

Datasets Retail Healthcare Finance 91

Cloudera

OCTOBER 18, 2021

We are thrilled to announce the finalists of the 2021 Data Impact Awards. This year’s entrants have excelled at demonstrating how innovative data solutions can help solve real-time challenges and positively impact people around the world. . It’s that time of year again… Award season!

Banking 116

Banking Transportation Government Consulting 116

Snowflake

JANUARY 19, 2023

Vikrant Bhan, Group Head Analytics, Data and Integration, Nestlé Yuta Hishinuma , CTO, Chura Data Inc.

Data 111

Data Data Governance Data Architecture Technology 111

Cloudera

SEPTEMBER 26, 2023

IBM and Cloudera’s common goal is to accelerate data-driven decision making for enterprise customers, working on defining and executing the best solution for each customer. You can now elevate your data potential and activate AI’s capabilities through the synergic integration between IBM watsonx and Cloudera.

Kafka 100

Kafka Technology IT Government 100

Christophe Blefari

OCTOBER 20, 2023

Aindo is a synthetic data solution, it provides a platform to generate synthetic data from your real data in order to preserve statistical relevance while removing sensible information. With synthetic data you can then publicly seek for help among the world's data scientists.

Generalist 130

Generalist Entertainment NoSQL Datasets 130

Knowledge Hut

APRIL 25, 2024

Apache Spark: Apache Spark is a high-performance big data processing engine that can be used for a variety of tasks, including machine learning and streaming analytics. Cloudera: Cloudera is a leading provider of big data solutions, offering a comprehensive platform that includes everything from data storage to analysis and machine learning.

Big Data 98

Big Data Technology Hadoop NoSQL 98

Cloudera

DECEMBER 12, 2022

And they confirm to me that the direction on data management is becoming very clear: . Hybrid and o pen data offer ultimate flexibility. Point data solutions are a dead end . Data management at scale is a pre-req for digital . Everyone needs to learn more about hybrid data. Cloudera makes hybrid data easier.

Cloud 100

Cloud Entertainment Telecommunication Insurance 100

Confluent

AUGUST 23, 2022

The VP of Engineering at Confluent India shares how the team builds innovative, modern data solutions while instilling a humble, open work culture where employees thrive.

Data Solutions 64

Data Solutions Engineering Building Data 64

Data Engineering Podcast

FEBRUARY 24, 2019

Links Pluralsight Dell EMC Hadoop DBA (Database Administrator) Elasticsearch Podcast Episode Spark Podcast Episode MapReduce Deep Learning Machine Learning Neural Networks Feature Engineering SVD (Singular Value Decomposition) Andrew Ng Machine Learning Course Unstructured Data Solutions Team of Dell EMC Tensorflow PyTorch GPU (Graphics Processing (..)

Deep Learning 100

Deep Learning Data Engineering Data Engineer Engineering 100

Uber Engineering

JUNE 1, 2023

Uber runs more than 100K big data workloads per day using Apache Spark–at that scale it’s crucial to write optimized apps. The Delivery Data Solutions team built Spark Analysers, a real-time system to catch anti-patterns in the Spark application at Uber scale, helping Uber developers optimize their apps.

Big Data 62

Big Data Data Solutions Systems Data 62

Cloudera

DECEMBER 14, 2020

One trend that we’ve seen this year, is that enterprises are leveraging streaming data as a way to traverse through unplanned disruptions, as a way to make the best business decisions for their stakeholders. . Today, a new modern data platform is here to transform how businesses take advantage of real-time analytics.

Process 75

Process Kafka Government Big Data 75

Snowflake

NOVEMBER 21, 2024

By empowering travel and hospitality brands to act on all of their data, a Composable CDP enables personalized experiences that drive guest loyalty and satisfaction.

Hospitality 82

Hospitality Entertainment Data Governance Government 82

Knowledge Hut

MARCH 28, 2024

Azure Data Engineer Career Demands & Benefits Azure has become one of the most powerful platforms in the industry, where Microsoft offers a variety of data services and analytics tools. As a result, organizations are looking to capitalize on cloud-based data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

MARCH 20, 2024

Speaking from experience, the data engineers in this role are right in the thick of it all. From start to finish, Azure data engineer roles and responsibilities revolve around designing, implementing, and managing data solutions specifically tailored for the Azure platform. Who is Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Certification 52

Knowledge Hut

MARCH 15, 2024

Speaking from experience, the data engineers in this role are right in the thick of it all. From start to finish, Azure data engineer roles and responsibilities revolve around designing, implementing, and managing data solutions specifically tailored for the Azure platform. Who is Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Certification 52

Ripple Engineering

JULY 9, 2024

Evaluating the Contenders We needed a solution that not only resolved our current challenges but also positioned us for future innovations. After evaluating numerous data solution providers, Databricks stood out due to its seamless performance and lakehouse capabilities, which offer the best of both data lakes and data warehouses.

Hadoop 96

Hadoop Data Lake Machine Learning Raw Data 96

Cloudera

NOVEMBER 25, 2021

Common Use Cases for Cloud and Data Solutions . So, what are the common user cases we are seeing for enterprise data clouds? Customer conversations tell us that migrating to the public cloud can be daunting, which is why we have listed how AWS and Cloudera can help. Customer use cases can be grouped into three categories.

Amazon Web Services 96

Amazon Web Services Cloud AWS Machine Learning 96

Knowledge Hut

DECEMBER 28, 2023

This blog will guide us through the Azure Data Engineer certification path , equipping us with insights necessary for this transformative journey. Who is an Azure Data Engineer? An Azure Data Engineer is responsible for designing, implementing and managing data solutions on Microsoft Azure.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Confluent

OCTOBER 22, 2024

Join Confluent at AWS GameDay to explore real-time data solutions. Learn how to power your apps with scalable, cloud-native data streaming.

AWS 52

AWS Data Solutions Cloud Data 52

Cloudera

AUGUST 3, 2021

Point solutions promote themselves as being specialists in specific business process areas and the preferred solution – data warehousing, machine learning as examples.

Manufacturing 111

Manufacturing Retail Entertainment Government 111

DataKitchen

DECEMBER 7, 2021

Presenting practical design patterns and DataOps approaches, the book shows how DataOps projects are run and presents the benefits of using DataOps to implement data solutions. You can purchase the book here. For more from the author, we sat down with Simon to talk about DataOps in Financial Services in early 2021.

Data Governance 98

Data Governance Big Data Data Science Government 98

Knowledge Hut

NOVEMBER 2, 2023

This article will discuss the differences between the Azure data engineer vs Azure devops engineer job titles in order to give you some valuable insights into these careers to provide clarity regarding which one would be a better fit for you. Who is an Azure Data Engineer? Who is an Azure DevOps Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Snowflake

JULY 13, 2023

ESO is the largest software and data solutions provider to emergency medical services (EMS) agencies and fire departments in the U.S. With a mission to improve community health and public safety through the power of data, ESO makes software that helps save lives.

Medical 94

Medical Hospitality Transportation Scala 94