Cloudera

AUGUST 31, 2020

Service Management Group ( SMG ) offers an easy-to-use experience management (XM) platform that combines end-to-end customer and employee experience management software with hands-on professional services to deliver actionable insights and help brands get smarter about their customers.

Management 66

Management Hadoop Data Warehouse Data Science 66

Cloudera

FEBRUARY 7, 2019

Hortonworks Professional Services played a key role in helping the ATB team design and implement the clusters and various use cases to achieve business value.

Big Data 67

Big Data Utilities Google Cloud Data Analytics 67

Cloudera

AUGUST 7, 2023

Introduction The snapshots feature of the Apache Hadoop Distributed Filesystem ( HDFS) enables you to capture point-in-time copies of the file system and protect your important data against corruption, user-, or application errors. For more information about using HDFS Snapshots, please read the Cloudera Documentation on the subject.

Hadoop 79

Hadoop Accessible Accessibility Professional Services 79

Knowledge Hut

DECEMBER 13, 2023

Genpact Genpact has made its name among the data analytics services companies. Providing true business transformation, Genpact is a multinational professional services company. The Vertica Analytics Platform provides the fastest query processing on SQL Analytics, and Hadoop is built to manage a huge volume of structured data.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52

Cloudera

FEBRUARY 19, 2018

In subsequent blog posts, we will be looking in detail at topics such as SAP TCO reduction, Customer 360, Data Warehousing on Hadoop, and SAP decommissioning. That’s why it’s important to work with an SAP-certified partner and their certified solutions. Datavard is that partner for Cloudera. How else would you like to use your SAP data?

Data Lake 46

Data Lake Finance Government Hadoop 46

ProjectPro

FEBRUARY 24, 2016

According to LinkedIn, the top 5 industries for data scientists in the US are Consumer Goods, Transportation, Recreation, IT Services, and Real Estate. These companies are looking to hire the brightest professionals with expertise in Math, Statistics, SQL, Hadoop, Java, Python, and R skills for their own data science teams.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

U-Next

SEPTEMBER 9, 2022

The IT, finance, insurance, and related professional services account for 5% of all data analytics and Data Science positions, according to the most recent reports from Forbes. . You need to be skilled at using tools like Spark, Hadoop, and NoSQL. percent. . Finding someone with all these skills is really difficult. .

Data Science 40

Data Science Computer Science Machine Learning Hadoop 40

Rockset

JANUARY 23, 2020

Santander UK - Cloudera Professional Services built a near-real-time transactional analytics system for Santander UK, backed by Apache Hadoop, that implements a streaming enrichment solution that stores its state on RocksDB. Santander Group is one of Spain's largest multinational banks.

Database 40

Database MySQL Kafka NoSQL 40

Knowledge Hut

NOVEMBER 28, 2023

Pr ofessional Services The average data scientist salary in Tata Consultancy, one of India's leading professional services companies, is about ₹9,00,000. Your career will advance, and you will get first-hand experience with key technologies like R, SAS, Tableau, Python, and Hadoop.

Data Science 52

Data Science Telecommunication Recruitment Finance 52

ProjectPro

JULY 28, 2021

Google-tech Professional Services: You will work on technical optimizations to assist the clients in achieving their business objectives. Can you explain the Hadoop architecture? You will work with different teams to provide data-driven business-impact suggestions. What are the Big Data frameworks and platforms you are aware of?

Recruitment 40

Recruitment Data Science Machine Learning NoSQL 40

ProjectPro

APRIL 1, 2017

News on Hadoop-March 2017 The cloud is disrupting Hadoop. Zdnet.com, March 6, 2017 Forrester estimates that organizations will spend $800 million in hadoop and its related services in 2017. Just like Hadoop is not designed for the cloud, it is not meant for doing matrix math that deep learning requires.

Hadoop 40

Hadoop Data Lake Electronics Big Data 40