Monte Carlo

MAY 14, 2024

Depending on the quantity of data flowing through an organization’s pipeline — or the format the data typically takes — the right modern table format can help to make workflows more efficient, increase access, extend functionality, and even offer new opportunities to activate your unstructured data.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Rockset

NOVEMBER 1, 2018

As Peter Bailis put it in his post , querying unstructured data using SQL is a painful process. We at Rockset have built the first schemaless SQL data platform. Even more, SQL doesn't traditionally deal very well with deeply nested data (JSON arrays of arrays of objects containing arrays.). What's the Alternative?

SQL 40

SQL NoSQL Programming Language Bytes 40

ProjectPro

JUNE 9, 2015

The prospective growth for big data in India is because of-increasing number of companies trying to get meaningful insights out from the massive data growth in their businesses. IBM Corporation has a big data team of close to 5000 professionals crunching the data to help fuel companies - find, extract and process fuel efficiently.

Hadoop 52

Hadoop Big Data Skills Big Data Retail 52

ProjectPro

JUNE 6, 2015

Solocal was ranked among the top 10 global companies in 2013 based on it ROI, with close to $1.5 It also detects any problems that might be there in the data – so there is some data quality layer. There is Master Function Data and Meta Function Data. This is implemented at Solocal.

Business Intelligence 40

Business Intelligence Big Data BI Hadoop 40

ProjectPro

APRIL 17, 2015

Latest Trends in Big Data Analytics Hadoop, NoSQL, MongoDB, and Apache Spark are the buzzwords with big data technologies - reverberating to leave a digital trace of data in everyone’s life which can be used for analysis. The matured usage of NoSQL in big data analysis will drive the NoSQL market as it gains momentum.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

ProjectPro

SEPTEMBER 11, 2015

By 2018, the Big Data market will be about $46.34 between 2013 - 2020. The availability of skilled big data Hadoop talent will directly impact the market. For professionals from BI background, learning Hadoop is necessary because with data explosion it is becoming difficult for traditional databases to store unstructured data.

Hadoop 52

Hadoop Java BI Big Data 52

ProjectPro

APRIL 27, 2015

there is not sufficient man power to keep track of all the streams of video, the government could use one of the many big data analytics solutions provided by big data start-ups. 1) Spotify Big Data Startup Success Stories With 60 million active users worldwide, close to 6 million paying customers, 20 million songs and approximately 1.5

Big Data 40

Big Data Retail Hadoop Unstructured Data 40

ProjectPro

NOVEMBER 24, 2014

The huge data giants on the web such as Google, Yahoo and Facebook who had adopted Apache Hadoop had to depend on the partnership of Hadoop HDFS with the resource management environment and MapReduce programming. Nevertheless there were certain intrinsic drawbacks with Hadoop MapReduce pairing. Introduction to Hadoop YARN (Hadoop 2.0)

Hadoop 40

Hadoop Programming Big Data Unstructured Data 40

ProjectPro

MAY 20, 2015

Several big data companies are looking to tame the zettabyte’s of BIG big data with analytics solutions that will help their customers turn it all in meaningful insights. ”- says Rishi Tirumala, Software Engineer at Paxata Paxata is always on the quest to hire top-tier big data talent.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

ProjectPro

MAY 23, 2015

Use market basket analysis to classify shopping trips Walmart Data Analyst Interview Questions Walmart Hadoop Interview Questions Walmart Data Scientist Interview Question American multinational retail giant Walmart collects 2.5 petabytes of unstructured data from 1 million customers every hour.

Big Data 52

Big Data Data Analysis Retail Hadoop 52

Knowledge Hut

DECEMBER 26, 2023

Designing Data-Intensive Applications Software developers who want to understand the principles of creating data-intensive applications, the benefits and drawbacks of the various accessible technologies, and the critical ideas required to succeed in the process should read this book.

Big Data 75

Big Data Data Mining Business Intelligence Certification 75