AltexSoft

DECEMBER 15, 2021

In the meantime, we’ll focus on AutoML which drives a considerable part of the MLOps cycle, from data preparation to model validation and getting it ready for deployment. Before diving deeper into technological aspects, let’s take a closer look at key AutoML use cases. Most wanted autoML platforms in 2020. AutoML use cases.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

ProjectPro

APRIL 17, 2015

“Any sufficiently advanced technology is indistinguishable from magic.”– Big data technologies and practices are gaining traction and moving at a fast pace with novel innovations happening in this space. Businesses are wading into the big data trends as they do not want to take the risk of being left behind.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

ProjectPro

JUNE 26, 2015

Big data goes beyond the limited functionalities as various vertical business domains enter the big data market with more unusual big data applications. According to EMC statistics report, the amount of digital data will exceed 44 zetabytes by end of 2020 that is close to 5,200 GB for every woman, man and child on earth.

Big Data 40

Big Data Food Unstructured Data Retail 40

ProjectPro

NOVEMBER 30, 2021

Nontechnical users can easily access these data formats without installing data science software. SQL RDBMS: The SQL database is a trendy data storage where we can load our processed data. It is the most feasible option when the data size is huge.

Process 52

Process Data Pipeline Data Warehouse AWS 52

ProjectPro

FEBRUARY 8, 2017

.” said the McKinsey Global Institute (MGI) in its executive overview of last month's report: "The Age of Analytics: Competing in a Data-Driven World." 2016 was an exciting year for big data with organizations developing real-world solutions with big data analytics making a major impact on their bottom line.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

ProjectPro

JUNE 24, 2021

Data analytics projects for practice help one identify their strengths and weaknesses with various big data tools and technologies. Exploring various big data projects gives a better idea of where your interests lie while working with different analytics tools. This number is expected to grow by 2.4%

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

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. Big Data and Hadoop are moving out of its experimental stage and Hadoop is continuously maturing after having completed 10 years. Big Data is not going to go away.

Hadoop 52

Hadoop Java BI Big Data 52

ProjectPro

APRIL 27, 2015

Wikibon predict that the big data technology market will grow by 22% reaching $33.31 According to a combined study by EMC and IDC, 2837 Exabyte’s (Exabyte is a billion gigabytes) of data was generated in the digital universe and it is expected to grow to 40,000 Exabyte’s by the end of 2020. billion in 2015.According

Big Data 40

Big Data Retail Hadoop Unstructured Data 40

ProjectPro

MAY 8, 2015

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Image Credit: wired.com The rate at which we are generating data is frightening - leading to “ Datafication ” of the world.

Big Data 40

Big Data Retail Unstructured Data Banking 40

ProjectPro

AUGUST 6, 2015

Table of Contents 5 Big Data Use Cases For Customer Sentiment Analysis For Behavioural Analytics For Customer Segmentation For Predictive Support For Fraud Detection How top Sports companies use Big Data- NFL’s Atlanta Falcons use GPS technology and collect the data to analyse the movement of players during practice sessions.

Big Data 52

Big Data Hadoop Insurance Media 52

ProjectPro

MARCH 14, 2014

A study at McKinsley Global Institute predicted that by 2020, the annual GDP in manufacturing and retail industries will increase to $325 billion with the use of big data analytics. Studies show, that by 2020, 80% of all Fortune 500 companies will have adopted Hadoop. In 2015, big data has evolved beyond the hype.

Hadoop 40

Hadoop Big Data Data Mining Retail 40