 |
ISBN
| 9780071790536 | |
DDC
| 005.74 | |
Tác giả CN
| Zikopoulos, Paul | |
Nhan đề
| Understanding big data : analytics for enterprise class Hadoop and streaming data / Paul Zikopoulos ... [et al.] | |
Lần xuất bản
| 11th ed | |
Thông tin xuất bản
| New York : McGraw-Hill, 2012 | |
Mô tả vật lý
| 1 online resource (166 pages) | |
Tóm tắt
| "Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data-volume, variety, and velocity-are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide." | |
Từ khóa tự do
| Data mining | |
Từ khóa tự do
| File organization (Computer science) | |
Từ khóa tự do
| Electronic data processing--Distributed processing | |
Khoa
| Khoa Công nghệ Thông tin | |
Tác giả(bs) CN
| deRoos, Dirk | |
Tác giả(bs) CN
| Deutsch, Thomas | |
Tác giả(bs) CN
| Eaton, Chris | |
Tác giả(bs) TT
| Lapis, George | |
Địa chỉ
| Thư Viện Đại học Nguyễn Tất Thành |
| |
000
| 00000nam#a2200000u##4500 |
|---|
| 001 | 22702 |
|---|
| 002 | 2 |
|---|
| 004 | E5088D75-8AF3-445A-94C4-7EB796DF22F0 |
|---|
| 005 | 202204140936 |
|---|
| 008 | 200727s2012 nyu eng |
|---|
| 009 | 1 0 |
|---|
| 020 | |a9780071790536 |
|---|
| 039 | |a20220414093657|bnghiepvu|c20200807135309|dtainguyendientu|y20200727112021|zdinhnt |
|---|
| 040 | |aNTT |
|---|
| 041 | |aeng |
|---|
| 044 | |anyu |
|---|
| 082 | |a005.74|bZ68|223 |
|---|
| 100 | |aZikopoulos, Paul |
|---|
| 245 | |aUnderstanding big data :|b analytics for enterprise class Hadoop and streaming data / |cPaul Zikopoulos ... [et al.] |
|---|
| 250 | |a11th ed |
|---|
| 260 | |aNew York : |bMcGraw-Hill, |c2012 |
|---|
| 300 | |a1 online resource (166 pages) |
|---|
| 520 | |a"Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data-volume, variety, and velocity-are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide." |
|---|
| 541 | |aKhoa CNTT tặng |
|---|
| 653 | |aData mining |
|---|
| 653 | |aFile organization (Computer science) |
|---|
| 653 | |aElectronic data processing--Distributed processing |
|---|
| 690 | |aKhoa Công nghệ Thông tin |
|---|
| 691 | |aKỹ thuật phần mềm |
|---|
| 700 | |adeRoos, Dirk |
|---|
| 700 | |aDeutsch, Thomas |
|---|
| 700 | |aEaton, Chris |
|---|
| 710 | |aLapis, George |
|---|
| 852 | |aThư Viện Đại học Nguyễn Tất Thành |
|---|
| 856 | 1|uhttp://elib.ntt.edu.vn/documentdata01/2 tailieuthamkhao/000 tinhocthongtin/anhbiasach/22702_understandingbigdatathumbimage.jpg |
|---|
| 890 | |c1|a0|b0|d1 |
|---|
| |
Không tìm thấy biểu ghi nào
|
|
|
|